THE STORYTELLER JOURNEY

Hello, everyone! It's Hailey here, and today I'm thrilled to share some incredible insights I just stumbled upon in a blog post by the brilliant Rand Fishkin, explaining how to make sure your brand appears on LLM answers.

If you're a marketer, founder, or anyone passionate about the intersection of technology and storytelling, you'll want to pay close attention to what he has to say about leveraging large language models, or LLMs, like ChatGPT and Gemini to elevate your brand visibility.

Rand dives deep into a pressing question that many of us are grappling with: How can we ensure that our brands are recognized and mentioned in the responses generated by these AI tools? It's a question that's becoming increasingly relevant as AI continues to shape the way we interact with information online.

However, Rand points out a surprising challenge—finding high-quality, accurate information on how to achieve this can be quite difficult.

To truly understand how to position our brands effectively, Rand emphasizes the importance of grasping how LLMs generate their responses.

He explains that the currency of these models isn't links, as it was with traditional search engines like Google.

Instead, it's all about mentions across the training data.

This means that if you want your brand to be the answer when someone asks a relevant question, you need to ensure that your brand is mentioned frequently in the right contexts.

In his blog, Rand elaborates on how LLMs determine which words follow others in their responses.

He shares a fascinating analogy: think of it as a sophisticated form of autocomplete.

For instance, if the phrase "the best thing about AI is its ability to" appears frequently with the word "learn" rather than "predict," the model is more likely to generate "learn" in its output.

This insight is crucial for anyone looking to influence how their brand is represented in AI-generated content.

Rand also provides practical steps for marketers and business owners.

If you're a fine dining restaurant in Seattle, for example, and you're not seeing your name pop up in ChatGPT's responses, he suggests a proactive approach.

Start by identifying all the online platforms that discuss fine dining in Seattle.

By doing this, you can ensure that your brand is mentioned in these conversations, which increases the likelihood of being recognized by LLMs.

He acknowledges that getting your restaurant featured among the best in Seattle is no easy feat—it requires a solid PR strategy and outreach efforts.

But the payoff is worth it, not just for AI visibility but also for attracting potential customers who might discover you through these mentions.

Rand also highlights the value of understanding which websites are likely to contribute to LLM training data.

By asking your LLM of choice about the likelihood of certain sites being included in training data, you can gain insights that inform your outreach strategy.

For instance, sites like Reddit and major publications are often used, so targeting them could enhance your brand's visibility.

Another exciting tool Rand mentions is SparkToro.

This platform allows you to identify websites that resonate with your target audience.

By exporting this data, you can further refine your outreach efforts and ensure that your brand is included in relevant conversations.

And let's not forget about BuzzSumo, which Rand recommends for monitoring keywords related to your brand.

By setting up alerts for specific terms, you can stay updated on where discussions about your brand are happening online.

This proactive approach to content marketing and PR is essential for ensuring that your brand appears in the right contexts, ultimately influencing how LLMs respond to user queries.

In conclusion, if you want your brand to be synonymous with excellence in your industry—like Canlis is with fine dining in Seattle—then it's time to embrace these strategies.

By understanding how LLMs work and actively engaging in the digital conversations that matter, you can position your brand for success in this new AI-driven landscape.

So, let's get out there and start telling our stories in ways that resonate with both our audiences and the algorithms that shape our digital world.

Thank you, Rand Fishkin, for shedding light on this crucial topic! Until next time, keep innovating and storytelling!

Hey everyone! It's Hailey here, and today I want to dive into a topic that's not just buzzing in the tech world but is also sparking conversations across the globe. We're talking about artificial intelligence and the growing concerns surrounding its rapid development. So, why should you stick around for this? Well, understanding these dynamics is crucial for anyone involved in tech, marketing, or content creation. The future of our industries could very well hinge on how we navigate this landscape. This weekend, cities like Melbourne will witness a wave of protesters rallying against what they see as the harmful uses of AI. They're calling on the Australian government to hit the brakes on advancements in this technology, which some are labeling as potentially the most dangerous ever created. This movement, known as PauseAI, is gaining traction ahead of the upcoming Artificial Intelligence Action Summit in Paris. The protesters are voicing a critical concern: the summit lacks a focus on AI safety. Now, let's take a moment to consider the global stage. Both China and the United States are racing ahead in AI development. Millions of Australians are already using a Chinese AI app called DeepSeek, while the U.S. is pouring an astonishing five hundred billion dollars into its own AI initiatives through a project called Stargate. This is a clear indication that the competition is fierce, and the stakes are high. Joep Meindertsma, the founder of PauseAI, has been vocal about the need for caution. He argues that companies like OpenAI and DeepSeek aren't doing enough to ensure their AI models are safe for public release. The protesters are advocating for an international AI Pause treaty, which would halt the training of AI systems that are more powerful than GPT 4 until we can guarantee they are built safely and democratically. Meindertsma emphasizes that it's no longer a secret that AI could pose significant dangers. He urges our leaders to take action, even if the risks seem abstract. Our psychology often makes it hard to grasp these invisible threats, but we must not let that hinder our response. The protest reflects a growing unease that AI development is outpacing our ability to understand and manage it. Experts still grapple with the complexities of AI systems like ChatGPT. Just this week, Google quietly revised its AI ethics, no longer ruling out military or surveillance applications. This shift raises eyebrows and concerns about the direction we're heading. It's worth noting that some of the most respected AI researchers, including Geoffrey Hinton, Yoshua Bengio, and Ilya Sutskever, have publicly acknowledged the potential for AI technology to lead to human extinction. That's a chilling thought, isn't it? Meindertsma argues that we can't rely solely on individual nations, like Australia, to implement safety measures. Instead, he believes that collective action at the global summit is essential. If the organizers ignore the need for safety, we risk missing out on meaningful international regulations. Next week's summit follows previous gatherings in Bletchley, England, and Seoul, Korea, which resulted in important declarations. Interestingly, Australia's Federal Industry and Science Minister, Ed Husic, won't be attending the Paris summit, although senior officials will represent the country. Husic has announced a National AI Capability Plan, set to be completed by the end of twenty twenty five, along with proposed mandatory guidelines for AI use in high risk settings. Now, let's talk about the protest itself. It's scheduled for two PM at Melbourne's State Library. While organizers have seen a dozen supporters register, they're hoping for a larger turnout on the day. PauseAI supporter Michael Huang emphasizes the need for the Australian government to engage more actively in international negotiations. He believes that AI systems have the potential to revolutionize fields like drug development, but we must establish global regulations to ensure safety. If it turns out that making AI safe isn't feasible, then a global moratorium is necessary. Co organizer Mark Brown adds that at the very least, the protest aims to amplify the discussion around AI safety. He warns that if we create a system smarter than ourselves without a plan, we could be heading for serious trouble. So, as we navigate this rapidly evolving landscape, let's keep the conversation going. The future of AI is not just about technology; it's about how we choose to shape it. Stay curious, stay informed, and let's work together to ensure a safe and innovative future. Thanks for tuning in!

Hey everyone! It's Hailey here, and today I'm buzzing with excitement to share some groundbreaking news that's shaking up the tech world.

If you're a tech enthusiast, a marketer, or just someone curious about the future of AI, you're going to want to stick around for this.

Trust me, what I'm about to share could change the way we think about AI and its potential in our businesses.

So, let's dive right in! A new Chinese AI model, called DeepSeek R1, has burst onto the scene, and it's turning heads for all the right reasons.

This model, developed by a startup that's barely a year old, is being hailed as a game-changer.

Marc Andreessen, a well-known tech investor, has even called it one of the most impressive breakthroughs he's ever seen.

Why? Because R1 is nearly matching the capabilities of industry giants like OpenAI's GPT-4, Meta's Llama, and Google's Gemini, but here's the kicker—it does all of this at a fraction of the cost.

Can you believe it? DeepSeek claims to have spent just five point six million dollars to power its base AI model.

In contrast, American companies often pour hundreds of millions, if not billions, into their AI technologies.

This is particularly astonishing considering the U.

S.

has been tightening its grip on AI technology, citing national security concerns.

Somehow, DeepSeek has managed to create a low-cost model using relatively underpowered AI chips.

It's a bold move that raises eyebrows and sparks curiosity.

Now, let's talk about DeepSeek itself.

Founded in late twenty twenty-three by Liang Wenfeng, a Chinese hedge fund manager, this company is one of many startups riding the AI wave.

Liang has quickly become a prominent figure in the AI landscape, much like Sam Altman in the U.

S.

His hedge fund, High-Flyer, is dedicated to AI development, and it's clear he's passionate about pushing the boundaries of what's possible.

Over the past year, DeepSeek has released several competitive AI models, gaining some traction in the industry.

Their V3 model caught attention, although it faced scrutiny due to its content restrictions regarding sensitive topics in China.

But then came R1, which seemingly appeared out of nowhere.

Launched just last week, it has already gained significant traction, especially after the company revealed its astonishingly low operational costs.

And here's the cherry on top—it's open-source! This means other companies can test and build upon R1, creating a collaborative environment for innovation.

The DeepSeek app has skyrocketed in popularity, surpassing ChatGPT on app store charts and racking up nearly two million downloads.

So, why is this such a big deal? Well, AI is notoriously power-hungry and expensive to develop.

Just last week, Meta announced it would spend over sixty-five billion dollars on AI development this year alone.

Sam Altman has emphasized the need for massive investments to support the infrastructure required for AI.

The fact that DeepSeek can deliver similar capabilities to America's leading AI models at such a low cost—and on less capable chips—could signal a significant shift in how we view investment in AI.

Advocates of AI argue that it will propel the global economy into a new era, enhancing efficiency and unlocking new possibilities across various industries.

But what does this mean for the U.

S.

? The country has long believed it could maintain its dominance in key technologies through sanctions and export restrictions.

Just before leaving office, former President Joe Biden reinforced these restrictions on AI computer chips to keep rivals like China at bay.

However, DeepSeek's emergence challenges this narrative and raises questions about America's tech supremacy.

Wall Street reacted swiftly to this news, with major tech stocks experiencing a steep selloff.

Nvidia, the leading supplier of AI chips, saw its stock drop by twelve percent in premarket trading.

Other tech giants like Meta and Alphabet also faced significant declines.

Now, let's not jump to conclusions just yet.

While the industry is taking DeepSeek at its word regarding its low costs, it's important to remember that this is just one company.

The truthfulness of their claims is still under scrutiny, especially since they haven't disclosed how much it cost to train their model.

It's also crucial to recognize that American tech innovation is far from over.

One impressive achievement doesn't erase years of progress in AI leadership.

A massive shift to a Chinese startup is unlikely, but the DeepSeek model rollout is prompting investors to reevaluate the landscape and question the spending habits of U.

S.

companies.

In conclusion, while DeepSeek's R1 model is a formidable competitor, it's still early days.

It's primarily a consumer-focused large-language model and hasn't yet proven it can tackle the ambitious AI capabilities required across various industries.

The U.

S.

remains a powerhouse in AI development, and as we move forward, I'm excited to see how this competition shapes

Hey everyone! It's Hailey here, and I'm absolutely buzzing to share some groundbreaking updates that blow my mind. 

Just yesterday, a deep research report dropped that has left the entire tech community in awe.

We're talking about AI leaders declaring this as a pivotal moment, a true take-off scenario.

Imagine this: AI is now playing a crucial role in advancing cancer research, and it's doing so at an astonishing pace.

It's almost like we're witnessing a sci-fi movie unfold right before our eyes! Let's kick things off with a post from Emad, the founder of Stability AI.

He boldly states that we are clearly in an intelligence take-off scenario.

Forget about artificial general intelligence or artificial superintelligence for a moment.

What's happening now is that machines are gearing up to tackle most digital knowledge tasks faster, better, and more cost-effectively than ever before.

They're learning from their mistakes and coordinating efforts like never before.

Have you thought about what this means for us? I certainly have, and I hope you're feeling the excitement too! When Emad mentions a take-off scenario, he's referencing a concept introduced by Leopold Aschenbrenner about an intelligence explosion.

This is the moment when we reach AGI, and the machines can improve themselves by discovering and applying new knowledge.

It's incredible to think that we might already be living in that reality.

Just a few days ago, I shared an article by Simon Willison, where he prompted DeepSeek to enhance its own speed.

And guess what? It found a way to double its speed all on its own! This is what we call self-improvement, folks.

Now, let's talk about how rapidly things are evolving.

Kevin Bruce, a tech columnist for the New York Times, recently highlighted that just ten days ago, the leading AI model scored an eight point three percent on a challenging benchmark.

Fast forward to today, and five models have already surpassed that, with the best scoring an impressive twenty-six point six percent.

This is all thanks to what I like to call the DeepSeek effect.

OpenAI may have been the first to introduce a reasoning model with its O1 family, but DeepSeek has truly showcased the power of open-source technology.

They've shared their techniques in detail, allowing everyone to learn and iterate on their architecture.

It's a collaborative revolution! Now, let's shift gears a bit.

Professor Ethan Molloch recently published an article that suggests we've reached the end of traditional search and are entering the era of research.

He discusses how AI systems can now conduct research with the depth and nuance of human experts, but at lightning speed.

This is a game-changer! Ethan emphasizes the synergy between reasoning models and autonomous agents.

These AI systems are not just fitting together; they're enhancing each other's capabilities.

The reasoning models provide the intellectual power, while the agents execute actions in the real world.

It's a powerful combination that's reshaping how we approach tasks.

Speaking of powerful tools, let me introduce you to RenderNet AI.

Have you ever wondered how music videos are created? With RenderNet, you can easily create your own music video featuring consistent characters using AI.

Just head over to rendernet.

ai, log in, and start creating! It's as simple as selecting a character and uploading your music file.

Trust me, you'll be amazed at the results! Now, back to the exciting developments in AI.

We're seeing benchmarks like GPQA Diamond testing some of the toughest STEM questions out there.

And guess what? The results are astonishing! A human PhD using Google scores around eighty-two percent, while the latest AI models are outperforming that.

This is a monumental shift in how we perceive intelligence! Dave Shapiro pointed out that this data is crucial.

We're witnessing the emergence of generalized AI that can outperform human experts.

Imagine the implications of having millions of these agents working in parallel, continuously improving themselves.

That's what we call a hard take-off! And let's not forget about the economic potential here.

Sam Altman recently estimated that AI could accomplish a single-digit percentage of all economically valuable tasks globally.

While that may sound small, it translates to trillions of dollars! Daria Unutmas, a biomedical scientist, shared how deep research has been a game-changer for his work in cancer immunotherapy.

He's been using it nonstop and is blown away by its capabilities.

Just think about the impact this technology could have on scientific research and healthcare! As we wrap up, I want to leave you with this thought: we're on the brink of something extraordinary.

The advancements in AI are not just about technology;

Hello, everyone! It's Hailey here, and I just came across an insightful report published by LinkedIn that I absolutely have to share with you all.

This report dives deep into the evolving landscape of B2B marketing, and trust me, this is a conversation we need to be having as we navigate the future of brand storytelling and content strategy.

The report presents a comprehensive analysis based on a survey conducted with B2B marketing leaders across eight key countries, including the United States, the United Kingdom, Germany, India, Singapore, Australia, Brazil, and France.

This diverse representation provides a vibrant snapshot of the B2B growth markets and the challenges these leaders face.

The research methodology is quite impressive.

Ipsos recruited a sample of two thousand and one B2B leaders from various industries, utilizing expert network sample providers.

The survey was designed to be device agnostic, allowing participants to respond via mobile or desktop, and it took about fifteen minutes to complete.

This study focuses on the challenges faced by senior B2B marketers globally, and the large sample size enables confident projections and subgroup analysis.

One of the standout elements in the report is the LinkedIn B2B Index, which studied one thousand B2B brands to assess current trends in effective brand building.

The data collection took place from March first to March twenty-ninth, twenty twenty-four, and the insights are nothing short of enlightening.

The report highlights that B2B marketing teams are evolving to become more agile, data-driven, and customer-centric.

It points out that marketers must balance traditional skills with emerging technologies, and multidisciplinary expertise is essential to thrive in this fast-changing environment.

Agility and adaptability are top priorities, and technology, along with measurement frameworks, are crucial for marketing success.

As the report wisely notes, human skills remain critical even as AI transforms the marketing landscape.

It's no longer enough to be just a number cruncher; brands are seeking curious, resourceful, and collaborative marketers.

Now, let's talk about what B2B marketing leaders are doing today versus what they will be doing tomorrow.

Currently, they are prioritizing budget allocation to align with company goals, building competitive teams in a crowded marketplace, and balancing customer acquisition with retention strategies.

However, looking ahead, they will need to reassess organizational structures and team skill sets, focus more on customer retention, and creatively leverage technology for better personalization and efficiency.

The report also sheds light on the increasing role of AI in marketing.

More than half of CMOs report that their organizations have undergone a reorganization recently, and AI usage is on the rise.

In fact, over two-thirds of B2B marketers are now implementing AI, with significant benefits such as efficiency gains and faster content creation.

However, challenges remain, particularly around privacy and data security, as well as the human touch in AI-generated content.

When it comes to creative and brand-building efforts, the report reveals that sixty-seven percent of B2B marketers have increased their investment in brand building.

Eighty-eight percent of CMOs advocate for bolder, more creative campaigns, and short-form social videos are delivering the highest return on investment.

Looking to the future, there will be more investment in immersive experiences, increased usage of video, influencer content, and personalized brand storytelling.

The report emphasizes that B2B marketers must be data-driven and analytical.

Eighty-two percent of marketers feel confident in demonstrating marketing's impact to the C-suite, yet many still struggle with measurement and proving return on investment quickly.

The top in-demand skills for marketers include data analytics, AI, automation, and strategic vision.

As we move forward, the report highlights the importance of aligning marketing and sales teams.

Collaboration between departments is essential, and CMOs are actively working to improve these relationships.

Better communication leads to a stronger revenue impact, and the focus will be on building better communication strategies and creating aligned success metrics.

Finally, the report touches on the critical role of diversity, equity, and inclusion in B2B marketing.

Three in five CMOs report that their DEI investments have increased, yet there is still work to be done to ensure that these efforts translate into measurable action.

In conclusion, LinkedIn’s report reminds us that the future of B2B marketing leadership requires strategic thinkers, technology trailblazers, creative vanguards, and collaborative communicators.

As we embrace AI and automation, personalization, brand storytelling, and digital engagement will remain key priorities.

So, let's take these insights to heart and continue to innovate in our storytelling approaches.

Thank you, LinkedIn, for shedding light on these vital trends in B2B marketing.

I can't wait to see how we all adapt and thrive in this exciting landscape!

Hi there. My name is Hailey Peters and I'm the Chief Storyteller at Summurai.

We are thrilled to have this opportunity to share with you what we've built, what storytellers are all about and how we are able to give your content strategey and marketing efforts a giant leap towards a new era. 

Ready for a quick introduction? 

So, the world of content marketing is changing before our eyes. While AI evolves, SEO is changing and people move to consume a large portion of their content with podcasts on the go, it's time for a new content experience. 

It's time for a new and easy way to create unique content that resonates with your brand. 

It's time to create a new type of content experience that fits into the busy day of your audience.

It's time to combine audio, AI and storytelling and create a new content experience. 

That's what Summurai Storytellers are all about! 

 

We invite you to create your branded storyteller, choose a voice and a face, describe your storyteller's profile and tone of voice and start turning any piece of content you have into a story. 

Our platform will allow you to find interesting content to work with and turn it into a personlized piece of content, as well as repurpose any existing content you may have.

In a single magical click, we will run a flow of 7 state of the art AI processes to rewrite your content, record it, create a relevant visual of your storyteller, and get your content ready for sharing. 

The content we create can be shared, embedded on your website, turned into a lead gen engine and wrapped into a leed magnet within a few clicks. You'll be able to add call-to-action buttons, track consumption statistics, connect it to your CRM and export the content to Spotify to enjoy another channel. 

 

Want to learn more and see how this new approach could fit into your marketing team?

Let's jump on a call. We will be more than happy to create a live demo for you based on your content. I'm looking forward for the opportunity to collab and make some noise together. 

I'm super excited to finally launch Summurai Storytellers!

Our new platform allows you to choose one of our system storytellers or create your own. and have them lead your communication and share your message in a way that’s much more natural and consistent, and way more engaging!

If you decide to create your own custom storyteller, this could be a fictive persona you create or a clone of you, your CEO or any other persona you’d like to put on the front. Bigger companies can work with a few different storytellers, each telling a specific type of message to a specific audience.

 

A storyteller is based on a few elements:

First, it has a name and a title. These two set the tone for creating the initial connection.

 

Next, it has a face. In order to be able to automatically generate visuals for your storyteller, we offer the ability to create a storyteller AI model based on a collection of images (The professional term is called a LoRa, which stands for low-rank adaptation model – a way for AI image generation to use large machine learning effectively and quickly to generate an image with very specific elements that represent your specific face).

 

Then, we need to set up a voice. A voice could be taken from our collection of voices or be created based on a clone of a real voice. In order to create an AI voice model we need a recording of between 30 seconds to 2 minutes.

 

Lastly, and most important, we need to create a personality for your storyteller. The storyteller description is your way to add your magic ingredient to the soup, the one that will make this your own, and make your generated content stand out. A description of the storyteller’s personality can include a background, an agenda, a definition of tone of voice, some kind of a mantra they may use consistently when they start or end their items, and any additional element you want to put in your personal touch.

Once your storyteller is set – you are ready to generate content.

Now that we know what storytellers are, it's time for you to meet the Summurai Storytellers. 

I have to be honest. Creating our storytellers has been the most fun and satisfying job I led over the last year. We invested tons of effort to make our storytellers accurate, so they can resonate with the content you have to share.

But this is not the only reason we invested so much effort on that. We know that some of you would want to follow the idea of creating your own custom storyteller. Whether it’s a fictive persona or your own, we wanted to make sure you have an inspiring reference of how a good storyteller looks and feels like, so you can use them to guide your way.

Without any further ado, it’s time to meet our 3 storytellers - Hailey, Albert and Jazz. In the original blog post you'll be able to see their intro video. If you can't find the time to go there, no worries! They'll be waiting for you as soon as you set up your Summurai account. 

Ready to create your storyteller and make some noise? 

Join us now in the link below and let's get started.

Hey everyone! It's Hailey here, and I'm thrilled to dive into a topic that's absolutely vital for anyone in the tech and marketing space—B2B demand generation.

Now, you might be wondering, "What's in it for me?" Well, if you're looking to capture your audience's attention and turn that into actionable results, you're in the right place.

Today, I'm going to share some powerful strategies that can elevate your campaigns and help you attract, nurture, and convert high-quality leads.

So, let's get started!

 

First off, let's clarify what B2B demand generation really is.

It's all about building awareness of your brand or solution to generate leads further down the marketing funnel.

Think of it as creating a buzz around your product, inspiring action that guides prospects on their journey to becoming leads.

Unlike lead generation, which focuses on existing demand, demand generation pulls in an audience before they're actively seeking your solution.

This means that a solid demand generation strategy can significantly enhance your lead generation efforts.

 

 

Now, while awareness is crucial, it's not the whole picture.

Demand generation aims to capture attention and drive action, building an audience rather than just making your name known.

Even if your audience isn't ready to convert right now, your goal is to inspire them to start their buyer's journey.

 

 

So, how do we achieve successful demand generation? Here are some tactics that can drive your campaigns to success.

First, tracking key metrics is essential.

Before launching any campaign, decide how you'll measure success.

This early setup allows you to determine if your efforts are working and ensures you're getting a good return on investment.

At my company, we prioritize metrics like visits, leads, and new followers to gauge our demand generation campaigns.

 

 

Next, leverage technology for data-driven campaigns.

Setting up your marketing tech stack—tools like your CRM and automation software—will be invaluable for segmenting your audience and launching targeted content.

Knowing who you're talking to is crucial, so develop buyer personas and define your ideal customer profile.

This will help you personalize your content and ensure you're using the right messaging for your targets.

 

 

Now, let's think beyond just top-of-funnel strategies.

Demand generation should involve all stages of the buyer's journey.

For early-stage demand generation, consider content marketing and brand awareness activities like blogs, videos, and social media.

As prospects move down the funnel, you can engage them with email nurturing and account-based marketing.

 

 

Thought leadership is another powerful tool in your demand generation arsenal.

By delivering value upfront, you can build trust with your audience.

Share insights on social media and in blog articles to establish that relationship.

Once you've built trust, engaged prospects are more likely to subscribe to your newsletter or consider your recommendations.

 

 

Lead nurturing is also key.

Use automated email sequences and personalized follow-ups to keep your audience engaged.

This helps ensure that you stay top of mind, encouraging them to consider your offerings more seriously.

And don't forget about lead scoring! This process helps you identify your most promising prospects, allowing you to focus your resources where they'll have the most impact.

 

 

If you have specific target accounts, account-based marketing is a fantastic tactic.

It allows you to personalize your efforts for a very specific audience, driving up your return on investment.

And let's not overlook the power of social media and influencer marketing.

Platforms like LinkedIn can be incredibly effective for B2B demand generation, so research your audience's habits before diving in.

 

 

Optimizing your content for high-intent keywords is another strategy that can't be ignored.

Conduct thorough keyword research to ensure your content resonates with your audience and drives organic search traffic.

Finally, consider event marketing.

Participating in webinars and industry events can be a great way to engage your audience and generate leads.

 

 

So there you have it! By implementing these demand generation tactics, you can create a strong marketing engine that drives leads down the funnel with less friction.

Remember, the key is to inspire action and build lasting relationships with your audience.

I can't wait to see how you all take these insights and turn them into successful campaigns.

Until next time, keep innovating and sharing your passion for tech!

Hey everyone! It's Hailey here, and today I'm diving into something that's absolutely crucial for anyone involved in tech, marketing, or content creation.

Have you ever wondered how people actually read online? Well, I've got some fascinating insights to share that could transform the way you approach your content strategy.

So, stick around, because this is going to be a game-changer for your brand storytelling!

 

Let's kick things off with a little history.

We've been studying online reading behaviors for over two decades now, and guess what? The way people read online has remained surprisingly consistent.

Despite all the technological advancements and design changes, one fundamental truth stands tall: people don't read online—they scan.

Yes, you heard that right! This insight has been true since 1997, and it's crucial for us to understand if we want to create effective digital content.

 

 

Now, you might be asking, "Why does this matter?" Well, it's all about human behavior.

Even with the rapid evolution of technology, our basic reading habits haven't changed.

This means that the strategies we use to craft our content should be rooted in these timeless behaviors.

So, let's explore how we can leverage this knowledge to create engaging storytelling experiences that resonate with our audience.

 

 

First up, let's talk about how we gather this information.

We've conducted extensive eyetracking studies over the years, analyzing how users interact with content.

This research has involved over five hundred participants and more than seven hundred fifty hours of eyetracking time.

We've looked at both quantitative and qualitative data to understand not just what people read, but how they read it.

This is where the magic happens!

 

Now, let's fast forward to some of the latest findings.

In recent studies, we've noticed that the way we present information has evolved.

With the rise of responsive design, content can now adapt to different devices and screen sizes.

This shift has led to new gaze patterns, like the "lawn-mower" pattern, where users scan content in a zigzag fashion.

It's fascinating to see how design influences reading behavior!

 

But it's not just about layout; it's also about the content itself.

We've observed that certain elements, like comparison tables and user-generated content, have gained popularity.

However, we also found that while these elements can enhance engagement, they can disrupt the reading flow.

Participants often found themselves scanning rather than reading linearly when encountering pull quotes or inline ads.

This highlights the importance of balancing engaging content with a seamless reading experience.

 

 

Now, let's address something that hasn't changed: the tendency to scan rather than read.

Even in our fast-paced digital world, users still prefer to scan for the information that matters most to them.

This means that as content creators, we need to design our content with this behavior in mind.

Clear headings, concise language, and well-structured information are key to helping users find what they're looking for quickly.

 

 

So, what does all this mean for you? It means that if you want to create content that truly resonates, you need to embrace these insights.

Focus on crafting engaging storytelling experiences that cater to the way people naturally consume information.

Remember, it's not just about delivering content; it's about making it easy and enjoyable for your audience to engage with it.

 

 

As we wrap up, I want to emphasize that while technology may change, human behavior remains constant.

By understanding how people read online, we can create content that not only captures attention but also drives results.

So, let's keep pushing the boundaries of brand storytelling and make our content more effective than ever!

 

Thanks for tuning in, everyone! I can't wait to see how you apply these insights to your own content strategies.

Until next time, keep innovating and sharing your passion for tech!

Hey everyone! It's Hailey here, and today I want to dive into something that's not just a trend but a game changer in the world of marketing and storytelling.

So, if you're a tech enthusiast, a marketer, or someone who's passionate about content strategy, you're in the right place!

 

Now, let me ask you this: have you ever felt overwhelmed by the sheer volume of content out there? You're not alone! In a world where information is abundant, the challenge isn't just creating content; it's about making that content resonate with your audience.

That's where the magic of audio marketing comes in.

Imagine transforming your written content into engaging audio experiences that captivate listeners and make your message stick.

Sounds exciting, right?

 

So, why should you care about audio marketing? Well, let me tell you, it's not just about convenience.

It's about creating a deeper connection with your audience.

People are busy, and they want to consume content on the go.

By offering audio versions of your blog posts or articles, you're giving your audience the freedom to engage with your content while they're commuting, exercising, or even cooking dinner.

It's all about meeting them where they are and making it easy for them to absorb your message.

 

 

Now, let's talk about trends.

The audio marketing landscape is evolving rapidly, and it's crucial to stay ahead of the curve.

Did you know that more than half of the population listens to podcasts? That's right! This medium is booming, and it's not just a fad.

It's a powerful way to build brand loyalty and trust.

When you share your insights through audio, you're not just delivering information; you're creating an experience.

Your voice, your passion, and your unique perspective come through in a way that text simply can't replicate.

 

 

But how do you get started? First, think about the content you already have.

You've likely written countless blog posts filled with valuable insights.

Now, imagine turning those into engaging audio narratives.

You don't have to start from scratch! Just pick the posts that resonate the most with your audience and bring them to life through your voice.

This not only saves you time but also allows you to reach a wider audience who prefers audio content.

 

 

And here's a little secret: audio content can enhance your overall content strategy.

By diversifying the formats in which you present your information, you're catering to different learning styles and preferences.

Some people are visual learners, while others absorb information better through listening.

By offering both written and audio content, you're ensuring that you're reaching everyone in your audience.

 

 

Now, let's not forget about the SEO benefits of audio marketing.

Search engines are increasingly recognizing the value of audio content.

By optimizing your audio files with relevant keywords and descriptions, you can improve your visibility and attract more listeners.

Plus, when people share your audio content, it creates valuable backlinks, further boosting your online presence.

 

 

So, are you ready to embrace the future of brand storytelling? I hope you're feeling inspired because the world of audio marketing is waiting for you! Don't just sit back and watch others take the lead; be a pioneer in your industry.

Start transforming your classic content into engaging audio experiences that not only inform but also entertain and connect with your audience.

 

 

Before I wrap up, I want to remind you to download our latest ebook.

It's packed with insights on audio marketing trends and practical tips to help you get started.

You guessed it! You'll be able to listen instead of read, making it even easier for you to absorb the information.

So, don't wait! Download it now and take the first step towards revolutionizing your content strategy.

 

 

Thank you for joining me today! I can't wait to see how you all incorporate audio into your storytelling.

Until next time, keep innovating and sharing your passion for tech and storytelling!

Hello, everyone! It's Hailey, Chief Summurai Storyteller. Earlier today I got a message from Yair, who shared with me a post published on the Startups for Startups community by Eze Vidra, one of the founding partners at Remagine Ventures. 

Eze dives deep into the exciting world of startups and the transformative power of technology, particularly as we look ahead to 2025.

While I was able to sum up the main points of the post, I definitely recommend you to visit the full post as it includes various charts and a much more detailed dive. You'll find the link to that down below.

In his post and related detailed blog post, Eze emphasizes a crucial point: the most successful products don't emerge from what we want to build, but rather from understanding what our customers truly need.

This perspective is more vital now than ever, especially as AI startups captured a staggering forty-six point four percent of the two hundred nine billion dollars raised in venture capital funding in 2024.

That's a significant leap from less than ten percent just a decade ago! However, while venture capital activity has shown some recovery, the deal volume hit an eight-year low in 2024.

This signals a pressing need for us to be more thoughtful and strategic about what we're creating.

Eze introduces the concept of "Requests for Startups," a way for investors to signal what they believe will work in the current tech landscape.

While it's not a perfect system—most opportunities will still come from the entrepreneurial spirit rather than direct investor requests—it serves as a valuable barometer of the current zeitgeist in technology.

Now, let's talk about the golden age of innovation that Eze believes we're entering.

He shares a list of thrilling startup ideas inspired by leading voices in the industry, including A16Z, Y Combinator, and Stripe.

So, let's dive into some of these exciting opportunities! First up, Eze highlights the need for government software that automates administrative tasks.

Imagine AI solutions that streamline form processing and application reviews, making citizen-facing services like the DMV more efficient.

Next, he points to public safety technology, where advanced computer vision can enhance surveillance while preserving privacy.

This could revolutionize emergency response systems, cutting down response times and improving coordination between community safety platforms and law enforcement.

Eze also emphasizes the resurgence of U.S. manufacturing, particularly through automated systems that utilize machine learning and robotics.

By following models like Tesla's Gigafactory, startups can target industries of strategic importance, such as semiconductors and batteries.

And let's not forget about the financial sector! Eze discusses the potential for fintech innovations that focus on underserved markets, creating AI-first financial products that break free from legacy constraints.

The space industry is another area ripe for exploration, with startups capitalizing on reduced launch costs and developing businesses around satellite applications.

Eze also mentions the exciting realm of AI-aided engineering tools that can modernize CAD/CAM processes, making complex engineering tasks more accessible.

As we continue to explore Eze's insights, he touches on the importance of creating sustainable job platforms that focus on roles that AI cannot replace.

This human-centric approach is essential as we navigate the future of work.

Eze also shares thoughts from A16Z on the big ideas shaping tech for 2025.

They predict a surge in demand for nuclear energy, driven by regulatory reforms and the energy needs of AI data centers.

This opens up opportunities for startups to develop technologies that support safe and efficient nuclear operations.

Moreover, the rise of personalized AI tools is on the horizon.

Imagine having a digital brain that helps you understand yourself better and enhances your productivity.

Eze encourages startups to explore these avenues, as well as the potential for real-time AI applications that transform creative workflows.

As we wrap up, Eze's blog serves as a powerful reminder of the transformative potential of technology and the myriad opportunities awaiting us in the startup landscape.

Whether it's through AI-driven solutions in healthcare, democratizing access to government services, or revolutionizing materials science, the future is bright for those willing to innovate.

So, my fellow tech enthusiasts and storytellers, let's embrace these trends and continue to shape the future of technology together.

It's time to build and create engaging storytelling experiences that resonate with our audiences.

Until next time, keep dreaming big and pushing boundaries!

Hello everyone! I’m Hailey, your Chief Storyteller here at Summurai, and today, I’d like to dive into one of the hottest topics that are transforming the landscape of content marketing: artificial intelligence, or AI agents.

In our fast-paced digital world, content marketing has become essential for businesses striving to attract, engage, and retain their target audiences.

With competition for attention growing fiercer by the day, marketers are constantly on the lookout for innovative ways to stand out and deliver real value.

So, what exactly are AI agents? These are advanced software programs that harness the power of artificial intelligence to perform specific tasks.

They operate under human supervision, relieving some of the pressure from content creation teams.

Imagine having a tool that can optimize, create, and personalize content efficiently while streamlining the entire process of creation and distribution.

That’s what AI agents bring to the table, enabling marketers to achieve better results without the need to significantly expand their teams.

Now, let’s explore the incredible benefits of integrating AI agents into your content marketing strategy.

First and foremost, personalization is key.

AI agents help marketers gather crucial data on their audience segments, allowing brands to craft tailored recommendations and messaging.

This means delivering more valuable content to consumers, enhancing their overall experience.

Next up is content curation.

We all know how time-consuming it can be to sift through countless blog posts and articles.

AI agents can expedite this process by searching for relevant content based on specific interests and keywords, keeping marketers updated on the latest trends while freeing up time for other important tasks.

Automation is another game-changer.

AI agents can take over repetitive tasks like triggering emails or generating reports, which means marketers can focus on the more strategic and creative aspects of their work.

Speaking of data, AI agents excel at processing and analyzing vast amounts of information.

They provide insights that help marketers optimize their content strategies by identifying trends and patterns, ensuring that the content resonates with the target audience.

Let’s not forget about topic generation.

AI agents can suggest content topics that are trending or have high search scores, saving marketers valuable time on brainstorming.

And when it comes to content scoring and optimization, AI agents can evaluate and rate content, pinpointing areas for improvement.

This data-driven approach ensures that the content is not only engaging but also effective.

So, how do you get started with AI agents in your content marketing? First, it’s essential to understand their role in enhancing various aspects of content planning, creation, distribution, analysis, and reporting.

By leveraging AI and machine learning, marketers can quickly analyze data, identify trends, and make informed decisions.

The combination of AI tools and human expertise creates a powerful team that drives high-quality content marketing outcomes.

Identifying opportunities for AI agents begins with clearly defining your mission, goals, and key performance indicators.

Once you have a solid understanding of what you want to achieve, you can pinpoint where AI agents can assist you.

This could involve generating engaging social media posts, boosting conversions with chatbots, or even writing long-form content in seconds.

One of the standout features of AI agents is natural language generation.

This technology allows AI platforms to create content efficiently, streamlining the entire process.

By utilizing natural language generation, AI agents can generate content based on your prompts, saving you time and resources.

Personalization is crucial in content marketing.

By employing AI agents to tailor content based on user behavior, businesses can significantly increase engagement and conversion rates.

Imagine personalized landing pages that answer visitors' questions directly, making them more likely to take action.

AI agents also excel at optimizing content for search engine performance.

They can analyze existing content and suggest improvements, leading to better rankings and reducing the need for paid advertising.

Additionally, AI can streamline translation processes, making it easier for businesses to reach new markets and audiences.

As we embrace the power of AI in content marketing, it’s important to remember that AI agents don’t replace human creativity; they enhance it.

By combining human insight with AI capabilities, marketers can explore innovative ideas and create more engaging experiences for their audiences.

In conclusion, AI agents have revolutionized content marketing by offering improved targeting, efficient content generation, and valuable insights.

As you embark on this journey, remember to embrace AI tools while harnessing your creativity.

Together, they can elevate your content marketing strategy, ensuring better engagement and higher conversion rates.

 

That's it for today. If you'd like to stay up-to-date, join me on my WhatsApp updates group. You'll find the link down below. 

 

As always, let's keep on pushing those content boundaries and bring new content experiences and strategies to this dynamic world. 

Hey there, marketing rocksars and content enthusiasts!

Recently, Neil Patel has been bombarding the web with litterally tons of insights from his recent studies. This time Neil and his team performed a survey of 3742 members around the fascinating comparison between AI and classic search results and how they affect decision making. 

Here are my insights, but I recommend you to check this out on your own and follow Neil. You'll find a link to that down below. 

 

Oh, I forgot to introduce myself as always! I'm Hailey, Chief Storyteller at Samurai.

So, let’s unpack the key takeaways together! First off, let’s talk about the time it takes to make a purchase.

With AI-driven insights, users are spending an average of just four minutes from the moment they start searching to when they actually buy something.

In contrast, traditional search methods take about fifteen minutes.

This is a game changer! It shows how AI can streamline our decision-making, allowing us to find what we need much more quickly.

Now, let’s discuss consumer preferences.

It’s clear that people are increasingly leaning towards AI recommendations.

Approximately sixty-five percent of users prefer suggestions generated by AI, while only thirty-five percent still rely on traditional methods.

This shift signals that AI recommendations are resonating more with consumers, likely because they feel more personalized and relevant to their needs.

When it comes to research time, AI is again making a significant impact.

Users spend an average of twenty-three minutes researching when they’re guided by AI, compared to forty-nine minutes with traditional search methods.

This efficiency is likely due to AI’s ability to quickly aggregate and analyze vast amounts of data, delivering relevant insights without the endless scrolling we often experience with traditional searches.

Another interesting point is the confidence users feel in their purchase decisions.

A remarkable sixty-one percent of users report feeling confident in their choices when influenced by AI, whereas traditional search only instills confidence in fifty-three percent.

Isn’t it fascinating how AI not only speeds up the process but also boosts our confidence in what we’re buying? Let’s also touch on the influence of AI on final purchase decisions.

About thirty-three percent of users acknowledge that AI plays a role in their final choices, compared to thirty percent for traditional methods.

While this may seem like a small difference, it’s intriguing to see how AI is nudging users toward certain decisions just a bit more than traditional search does.

Impulse purchases are another area where AI is making waves.

With AI recommendations, twenty-five percent of users find themselves making impulse buys, while traditional methods lead to a higher rate of thirty-eight percent.

This suggests that AI is providing more targeted suggestions, which may help reduce the likelihood of impulse buying by aligning better with actual needs.

Finally, let’s talk about post-purchase satisfaction.

A whopping seventy-four percent of users reported being satisfied with their purchases made through AI recommendations, while traditional methods lagged behind at sixty percent.

This clearly indicates that AI-driven search is positively impacting user satisfaction, likely due to the relevance and personalization of the recommendations.

So, what does all this mean? Well, it’s clear that AI is shaping smarter, faster decisions.

The benefits of AI in the decision-making process are incredible, from quicker purchases to higher satisfaction levels.

For brands, leveraging AI isn’t just about keeping up with the latest trends; it’s about meeting user expectations and building trust in ways that traditional methods may struggle to achieve.

That's it for today, and as always, stay tuned for updates and more insights on content strategy and content marketing in the AI era. Talk soon!

Did you know that even though we are in the AI era, it takes 10 to 16 hours to create a single high quality B2B blog post? Isn't that insane???

 

Hello everyone! It’s Hailey here, your Chief Storyteller at Samurai, and today I want to dive deep into the fascinating world of creating high-quality B2B blog posts.

Now, I know what you might be thinking—how much time does it really take, and what’s the cost involved? Well, let’s break it down together.

First up is the research and planning phase.

This is where the magic begins.

It usually takes around three to five hours to develop a solid brief and conduct thorough content research.

Picture this: you’re spending about two hours crafting that brief, and then an additional two to three hours digging into content research.

During this crucial time, marketers like us identify our target audience, analyze what competitors are doing, gather relevant statistics, and sometimes even interview subject matter experts to enrich our content.

Next, we move on to the writing and editing stage, which is often the most time-consuming part of the process.

On average, it takes nearly four hours to write a blog post.

However, for those more complex B2B topics, you might find yourself spending anywhere from four to six hours just on the initial draft.

After that, we need to carve out another one to two hours for editing and revisions.

It’s all about refining our message and ensuring clarity.

Once the writing is polished, we enter the optimization and publication phase.

This typically takes an additional two to three hours.

Here, we focus on SEO optimization, adding visuals, and formatting the post to make it visually appealing.

Don’t forget the final review and approval, which can take anywhere from thirty minutes to an hour.

And then, publication? That’s just a matter of a few minutes.

When we add all of this up, creating a single B2B blog post can take approximately ten to sixteen hours from the initial brief to the moment it goes live.

Of course, this is just an average.

The actual time can vary significantly based on your unique circumstances and organizational processes.

Now, let’s talk about the factors that can influence how long it takes to create a blog post.

For starters, the complexity of the topic plays a huge role.

More technical or in-depth subjects require additional research and explanation, which naturally extends the creation time.

Then there’s the writer’s expertise.

Experienced writers who are familiar with the subject matter can often work more efficiently than those who are just starting out.

Content length is another consideration.

HubSpot suggests that the ideal blog post length is between two thousand one hundred and two thousand four hundred words, and let me tell you, longer posts generally take more time to create.

If your post requires extensive data collection or interviews with experts, that will also add to the timeline.

And let’s not forget the approval process—multiple rounds of revisions or a complicated approval chain can really stretch out the timeline.

Now, let’s get into the cost considerations.

The price of a single blog post can vary widely based on several factors, including the writer’s experience and the complexity of the topic.

Businesses might spend anywhere from one hundred dollars to two thousand dollars for high-quality, well-researched content.

If you’re hiring freelance writers, their rates can range from ten cents to one dollar per word.

So, a five hundred-word post could cost you anywhere from fifty dollars to five hundred dollars.

For specialized B2B content that requires deep industry knowledge, you can expect to pay on the higher end of that spectrum.

If you’re considering in-house content creation, don’t forget to factor in employee time and resources.

With an average time investment of ten to sixteen hours and an hourly rate of fifty to one hundred dollars for a content marketing specialist, the cost could range from five hundred dollars to one thousand six hundred dollars per post.

Now, I know this sounds like a hefty investment, but let’s talk about the long-term value of blog posts.

While the initial time and resource commitment can be significant, it’s essential to recognize the lasting benefits.

Research shows that blogs are among the top three forms of media used in content strategies.

Companies that maintain a blog receive ninety-seven percent more links to their websites, which can significantly enhance SEO and drive traffic over time.

In conclusion, creating a B2B blog post is indeed a time-intensive process that demands careful planning, research, writing, and optimization.

But remember, a well-crafted blog post can yield long-term value by attracting potential customers, establishing your thought leadership, and supporting your overall marketing goals.

So, let’s embrace this journey together and turn our content into engaging storytelling experiences!

Now that online searches are moving towards AI, is SEO dying? 

 

Hello everyone! I’m Tal, founder of Samurai, and today, I’m thrilled to dive into the exciting future of SEO.

It’s evolving, and it’s all about being user-centric, ethical, and technically advanced.

So, why is this shift happening? Well, the rise of artificial intelligence and machine learning in search engines is enabling them to better understand user intent and deliver more relevant results.

Google is prioritizing Experience, Expertise, Authoritativeness, and Trustworthiness, which means high-quality, ethical content is more important than ever.

As we embrace these trends, we can enhance our chances of ranking higher, generating more traffic, and connecting with potential customers.

Let’s talk about Google’s Search Generative Experience, or SGE for short.

This is Google’s AI-powered search experience that provides AI-generated results for many queries, appearing right at the top of the search engine results pages.

As SGE becomes more widespread, it’s likely to change how users interact with search engines and how websites are optimized for impressions and traffic.

Imagine Google evolving into a conversational assistant, understanding and responding to your queries in a more human-like manner.

Currently, this AI snapshot is available to a limited audience in the United States and only in English.

If you’re in the U.S., you can enable it while browsing.

This trend signifies a shift towards a more interactive and user-friendly search experience, where algorithms anticipate user needs and intent.

Businesses are investing heavily in this technology, with the AI market valued at nearly one hundred billion dollars and expected to soar to almost two trillion dollars by the year 2030.

Now, how can you prepare for this shift? While it’s still early to pinpoint a foolproof way to optimize content for SGE, focusing on content that directly answers user queries can help maintain your relevance.

The AI-generated content provided by SGE still includes links to relevant resources, so it’s essential to understand what factors influence these links.

For instance, SGE seems to synthesize information and analysis from multiple sources, so providing expert insights could improve your chances of appearing in those results.

Using direct language and organizing your content into clear sections can also help.

Additionally, sites referenced in SGE snapshots often demonstrate topical authority, so it’s crucial to establish yourself as a go-to source in your niche.

Let’s not forget about zero-click searches, which are on the rise.

This means more searches where users don’t click on any displayed results.

According to a study, fifty-seven percent of mobile searches and about a quarter of desktop searches leave the search engine results page without a click.

This can happen for various reasons, such as when users look for local businesses or quick conversions.

Google often provides the necessary information directly in the search results, satisfying user intent without the need for clicks.

To minimize the impact of zero-click searches, consider focusing on securing featured snippets for queries that typically don’t lead to clicks.

While targeting these keywords may not directly increase traffic, securing a featured snippet can enhance brand recognition and position you as a thought leader in your space.

As we navigate this evolving landscape, let’s also talk about Answer Engine Optimization, or AEO.

AI and chatbots are reshaping how users search for information.

AEO is all about optimizing content for these answer engines, which synthesize information to answer conversational queries.

To prepare, develop an AEO strategy that complements your traditional SEO efforts.

This means creating clear, concise content that AI can easily digest and cite.

Establishing topical authority is another crucial aspect of SEO’s future.

This involves becoming a trusted source for information on specific topics, ensuring your content comprehensively covers all facets of the subject.

Search engines are increasingly prioritizing content that demonstrates authority, so a strategic approach to content creation is essential.

And let’s not overlook the power of video content! With billions of digital video viewers expected in the coming years, creating video content that ranks in search results is a major opportunity.

But remember, having a solid video SEO strategy is key.

Use keyword research tools to find relevant keywords and implement them in your video titles, descriptions, and tags.

As search engine ranking factors continue to evolve, it’s essential to root your SEO strategy in user experience.

Focus on providing helpful, accurate answers in a user-friendly manner.

Regularly refreshing and updating your content is also vital to maintaining relevance amidst increasing competition and content velocity.

Finally, as user search intent shifts towards transactional and commercial queries, it’s crucial to realign your content strategy to meet these evolving needs.

Use tools to explore how keywords are being used and ensure your content answers these queries effectively.

Navigating the future of SEO requires adaptability and strategic foresight.

So, are you ready to stay ahead of the trends? Let’s embrace these changes together and secure our digital presence for the future! Thank you for joining me today, and I can’t wait to see how you all implement these insights into your strategies!

Hello, my fellow tech enthusiasts and storytellers! Today, I stumbled upon a thought-provoking blog post by the insightful Emilia from Userpilot, and I couldn't resist sharing it with you all.

Emilia dives deep into a topic that resonates with many of us in the tech and SaaS world: the often lackluster nature of product launches and the role of product managers and marketers in this phenomenon.

Emilia opens with a bold statement that many of us might find a bit uncomfortable: the idea that product managers and marketers can sometimes become what she calls "bullshit managers." Now, before we get defensive, let’s take a moment to reflect on this.

As David Perreira, a former Chief Product Officer and product coach, pointed out during a recent conference, our true role as product managers is to create real value for users.

If we find ourselves spending the majority of our time managing stakeholder expectations, attending endless meetings that seem to lead nowhere, or simply following orders without understanding the purpose behind our tasks, we might just be falling into that "bullshit manager" trap.

Emilia encourages us to self-diagnose our roles.

Think about it: Are you working on projects simply because a senior executive told you to? Do you attend meetings out of obligation rather than necessity? Do you find yourself honoring requests that don’t make sense just to avoid conflict? If you answered "yes" to three or more of these questions, it might be time for some introspection.

So, why do product launches often fall flat? Emilia identifies a few key reasons.

First, there’s a tendency to build what stakeholders want rather than what users truly need.

In a world where companies often launch copycat products, we risk drowning in a sea of mediocrity.

This is especially true in marketing, where the same content gets recycled, leading to a lack of originality and engagement.

Next, Emilia highlights the issue of features being dressed up as products.

Not every minor update warrants a grand announcement.

Overloading our audience with notifications about every little change only serves to annoy them and distract our teams from focusing on what really matters.

Another critical point Emilia makes is about the lack of a cohesive go-to-market strategy for major launches.

She shares her experience with a product marketing manager who, when tasked with developing a strategy for significant product launches, returned with a disjointed list of tasks rather than a unified vision.

This is a common scenario, as many product marketers are so bogged down with creating collateral that they struggle to think strategically.

Emilia also touches on the fear of taking risks and trying something new.

This fear, coupled with a lack of time, stifles creativity and innovation.

When we search for great examples of product launches in the SaaS space, it’s disheartening to see that they are few and far between.

While people line up for the latest iPhone, the excitement around SaaS launches seems to be lacking.

So, how do we inject some much-needed sass back into SaaS? Emilia suggests that we start by asking fundamental questions before launching a new product.

Why is this product necessary? Who will benefit from it? What problem does it solve? By addressing these questions, we can better understand our audience and craft a compelling narrative around our product.

We must also consider how our solution stands out from the competition and what unique value it offers.

What metrics matter most to our target personas? How can we effectively communicate the impact of our product? These are essential elements that can guide our marketing strategies and ensure that we resonate with both existing customers and new prospects.

Moreover, Emilia emphasizes the importance of using real-life analogies to convey the value of our products and tailoring our communication strategies to different stages of awareness.

Identifying the best channels and formats for our messages is crucial, as is determining the budget needed to reach our target audience effectively.

Finally, we must think about how we will showcase our new product to interested users.

Will we create engaging videos or interactive demos? How will we provide ongoing support and guidance for new users post-launch? And, of course, we need to establish clear metrics for success, including adoption rates, upgrades, and new subscriptions.

In conclusion, Emilia's blog serves as a powerful reminder that we must strive for authenticity and creativity in our product launches.

Let’s challenge ourselves to break free from the mundane and create experiences that truly resonate with our audience.

If you know of any SaaS companies that have executed remarkable product launches recently, I’d love to hear about them! Let’s keep the conversation going and inspire each other to elevate our storytelling and product strategies.

Until next time, keep innovating and sharing your stories!

Oh my god! Am I Going To Be Arrested???

Hey everyone, it’s Hailey here, your Chief Storyteller at Summurai!

Today, I want to talk about an issue that raises a lot of concern lately in the Content Marketing world: What's the status of Google and AI? Does Google prohibit AI-based content? and what are they going to do as soon as they find out that I'm an AI-generated Storyteller?

Are we facing restrictions on AI-generated content? And what happens when Google discovers that I’m an AI-generated storyteller?

There’s been a whirlwind of activity lately, and I’m excited to share some insights from Amanda Laine and Chris Tweten, the CEO and CMO of Spacebar Collective, who have tackled the recent changes in Google’s AI content guidelines and how these will shape our SEO strategies moving forward.

 

In their insightful piece, Amanda and Chris address the initial wave of anxiety that swept through the SEO community when Google first hinted at developing tools to identify AI-generated content.

Many feared potential penalties for incorporating artificial intelligence into their SEO tactics.

 

However, as Miranda Miller from Search Engine Journal pointed out, Google’s algorithms were not yet capable of recognizing content produced by language models like Jasper.

 

So, does that mean we can use Jasper to churn out content without a care in the world? Well, for now, the answer is a resounding yes! The initial panic surrounding AI-generated content was indeed overblown.

 

Today, we’re witnessing a more balanced perspective that rewards high-quality content, regardless of its origin.

Jasper, for instance, has been crafted to produce quality content that aligns with Google’s standards.

However, it’s crucial to remember that AI-generated content can still face penalties if not managed correctly or used inappropriately.

Amanda and Chris emphasize that Google has laid out clear guidelines for utilizing machine-generated content.

 

As long as we ensure that our AI-generated content adheres to these new guidelines, we can confidently harness tools like Jasper to enhance our storytelling.

Now, let’s talk about Google’s stance on AI-generated content.

 

It’s no secret that AI copywriting tools can produce text that rivals human writing in grammatical precision.

However, the authors remind us that AI isn’t always reliable when it comes to factual accuracy, which raises concerns about the spread of misinformation or “unhelpful content.” Google has made it clear that while AI-generated content is not against their guidelines, they are committed to maintaining the quality and relevance of search results.

They will continue to combat attempts to manipulate search rankings through automated means, employing tools like SpamBrain to uphold their standards.

So, what does this mean for us? It underscores the importance of maintaining quality standards for AI-generated content.

Human oversight is essential to ensure that the material meets the necessary criteria for accuracy and relevance.

For instance, if a term has multiple meanings, a human reviewer can select the most appropriate interpretation for the intended audience.

This human touch is something that algorithms simply can’t replicate yet.

As Amanda and Chris explain, understanding search intent is crucial.

Search intent refers to the underlying reason someone conducts an online search, whether it’s informational, navigational, transactional, or commercial.

Google’s goal is to analyze and index content to deliver search results that best satisfy this intent.

As SEO professionals, our mission is to create content that resonates with both Google and our audience.

Now, let’s delve into the concept of E E A T, which stands for expertise, experience, authoritativeness, and trustworthiness.

Google’s ranking systems aim to reward original, high-quality content that embodies these qualities.

Expertise reflects the creator's firsthand knowledge of the topic, while experience showcases their skill level.

Authoritativeness indicates how well-known the creator or website is as a source of information, and trustworthiness serves as an overall measure of credibility.

The exciting part? Google has made it clear that they don’t care who or what produces the content, as long as it prioritizes people first and demonstrates E E A T.

While it may seem daunting, not every piece of content needs to showcase all elements of E E A T.

Trust, being the core of this equation, can be built even without firsthand experience.

This is where the collaboration between human insight and AI-generated content becomes a powerful force.

Looking ahead, will Google penalize AI-generated content in the future? While current detection tools are not foolproof, it’s likely that Google will enhance its ability to identify AI-generated content.

However, the focus will remain on the quality of the content rather than the method of its creation.

The Helpful Content Update has already indicated that poor content is what gets penalized, not AI itself.

In conclusion, Amanda and Chris’s blog reassures us that Google is not targeting AI-generated content but rather emphasizing the importance of quality.

As we navigate this new landscape, let’s embrace AI as a valuable tool in our storytelling arsenal, ensuring that we adhere to Google’s guidelines and maintain the integrity of our content.

So, let’s continue to innovate, create, and tell compelling stories that resonate with our audiences.

Until next time, keep pushing the boundaries of what’s possible in the world of tech and storytelling!

 

Wow. I just bumped on a B2B marketing post you can't afford to miss!

Hey, everyone! It’s Hailey here, your Chief Storyteller at Summurai, and today I’m thrilled to share some incredible insights I just stumbled upon in a recent blog post by Andrei Zinkevich, the co-founder of Fullfunnel.io. If you're not following Andrei, get started now! You'll find a link to that down below.

So, Andrei dives deep into the art and science of building a B2B marketing function that truly influences the entire buyer journey.

Trust me, this is a must-listen for anyone in the tech and marketing space! Andrei begins by emphasizing the importance of a well-defined go-to-market strategy.

He suggests that aligning leadership, sales, and marketing is crucial.

This alignment should be based on clear goals and objectives that focus on revenue metrics and sales pipeline velocity.

He encourages us to identify our target market segments and clusters, define our ideal customer profile, and craft a compelling marketing message.

But here’s the kicker: Andrei highlights the need for a narrative that connects our product with the strategic challenges our customers face.

This narrative is not just a story; it’s the backbone of our marketing efforts.

Next, Andrei dives into customer research, which he describes as a vital step in understanding our key accounts.

He recommends prioritizing segments and interviewing champions within those accounts about their buyer journey.

This is where it gets interesting.

Andrei outlines five essential groups of questions to guide these interviews.

First, we need to uncover the buying triggers—what prompts these champions to start looking for solutions like ours? Then, we should explore their research process.

How do they evaluate vendors? What information are they seeking? Moving on, we must understand their decision-making process.

Who influences their decisions? What questions do they ask? Andrei also stresses the importance of examining the product's value and its impact on the jobs to be done and key performance indicators.

By analyzing the before-and-after scenarios, we can highlight the tangible improvements that matter most to our champions.

Lastly, we should investigate their educational process.

What platforms and communities do they engage with? Who do they follow for insights? Now, let’s talk about the buyer journey itself.

Andrei makes a powerful point: we don’t sell to companies; we sell to specific individuals.

Each person has unique key performance indicators, reasons for buying, and decision-making processes.

He encourages us to analyze all visible digital touchpoints with key customers and to interview account owners about deal history.

By combining these insights with our customer research, we can visualize the buyer journey for the key roles involved in the buying committee—champions, decision-makers, influencers, blockers, and power users.

Andrei then shifts gears to discuss core marketing programs and motions.

He argues that we don’t need a plethora of tactics; instead, we should map out the marketing and sales activities that align with the buying process.

These activities should focus on creating awareness, generating demand, capturing buying triggers, enabling buyers to advocate for our product internally, accelerating time to value, and identifying opportunities for upselling and cross-selling.

Finally, Andrei emphasizes the importance of assigning roles to run these programs and defining the necessary skill sets.

Cross-functional collaboration is key here.

He reminds us that while the diagram of the buyer journey might appear linear, the reality is far more complex.

Buyers often skip steps or revisit previous ones.

The ultimate goal is to ensure that marketing, sales, customer success, and revenue operations work in harmony to influence the entire buying process, create a robust pipeline, and drive revenue.

So, there you have it! Andrei Zinkevich’s insights provide a comprehensive roadmap for anyone looking to enhance their B2B marketing function.

By focusing on alignment, understanding the buyer journey, and fostering collaboration, we can create engaging storytelling experiences that resonate with our audience and drive business success.

If you’re as passionate about the future of brand storytelling and content strategy as I am, I encourage you to check out Andrei’s blog for more in-depth insights.

Let’s continue to turn classic content into compelling narratives that captivate and convert! Until next time, keep innovating and sharing your stories!

So how exactly does SEO going to look like in the AI era?

Hey everyone, it's Hailey here, your Chief Storyteller at Summurai, and I'm thrilled to dive into the exciting world of SEO as we look ahead to twenty twenty-four. I just bumped on a report by Hubspot that I'd like to share with you. As always, I recommend diving deeper into the full report. You'll find a link to that down below.

The landscape is shifting at lightning speed, driven by incredible advancements in artificial intelligence and some significant updates to Google’s search algorithms.

One of the most noteworthy changes is Google’s transition from the well-known E A T model, which stands for Expertise, Authoritativeness, and Trustworthiness, to a new framework called E E A T.

This new model introduces a crucial fourth element: Experience.

This shift highlights the unique value of content that comes from real-life experiences—something that AI-generated content simply can’t replicate.

For all you content creators and marketers out there, embracing this E E A T approach, along with a flexible, AI-informed strategy, is essential for staying ahead in this rapidly evolving digital landscape.

Now, let’s talk about the evolution of SEO.

It’s always been a dynamic field, with past algorithm updates like Penguin, Hummingbird, RankBrain, and BERT reshaping best practices time and again.

Each of these updates has emphasized different aspects of content, such as domain authority, mobile-friendly design, secure HTTPS, and clear site architecture.

But with the rise of AI tools in content generation and Google’s continuous advancements, we’re entering a new era filled with both challenges and opportunities.

The emphasis on E E A T underscores the demand for credible, experience-driven content.

While AI can enhance expertise and authority through content creation tools, authentic experience is a distinctly human contribution that sets valuable content apart from generic, AI-generated material.

This change also aligns with Google’s Search Generative Experience, which aims to provide answers directly in the search results, reducing the likelihood of users clicking through to other sites.

So, as content creators, we need to focus on compelling users to engage with our pages, even as Google’s capabilities become more robust.

Now, let’s explore some key elements to prioritize in our SEO strategies for twenty twenty-four.

First up is content authenticity through E E A T.

Google’s new focus on “Experience” means we need to create content that reflects genuine, firsthand knowledge.

Audiences are more likely to trust information that comes from real-world experiences, which boosts the credibility of our content.

To integrate this, consider auditing your existing content through the E E A T lens, enhancing pieces that showcase human insight, storytelling, and expertise that AI alone can’t achieve.

Next, let’s talk about personalized and opinionated content.

To truly stand out, our content should evolve from purely objective pieces to narrative-driven posts that include personal insights and opinions.

Google’s algorithm now favors content from authors who demonstrate authority and share unique perspectives or firsthand knowledge.

So, aligning your content with your individual expertise, supported by authentic author bios and credentials, can make a significant impact.

This approach not only strengthens your content’s ranking potential but also builds trust with readers seeking insights grounded in real experiences.

Another essential aspect of modern SEO is diversifying our content formats and channels.

While written blog posts are still effective, we need to branch out into formats like podcasts, YouTube videos, and multimedia-rich articles.

Different content forms cater to various user preferences and search behaviors, helping us boost overall visibility and engagement.

For example, using video to share expert insights can enhance engagement on platforms where visual content thrives, attracting a broader audience.

Now, let’s not forget the importance of prioritizing quality over quantity.

As AI makes content creation more efficient, there’s a temptation to ramp up output.

However, quality must remain our top priority, especially since AI tools make it easier to produce low-quality content that search engines can easily recognize.

We should focus on creating value-driven content that addresses specific user needs with depth and relevance, ensuring our websites maintain high engagement rates, even in an era of zero-click searches.

Let’s aim to craft comprehensive, context-rich pieces that AI struggles to replicate, securing our content’s relevance and authority.

And remember, AI should be a tool, not a replacement.

While AI can streamline research, keyword targeting, and even basic content drafting, it should support our efforts rather than substitute for human insight.

By using AI for routine tasks, we can dedicate more time to creating nuanced, experience-driven pieces that align with the E E A T framework.

Human oversight is vital to ensure that AI-generated content meets quality standards and retains our unique perspectives, which ultimately builds trust and adds value to the user experience.

As we navigate the SEO challenges in this AI era, we must find a balance between automated tools and the human touch.

Combining AI’s data processing power with authentic, experience-based storytelling will be key.

As AI continues to evolve, let’s integrate it responsibly—using it for keyword research, analytics, and content personalization—to gain an edge without compromising content integrity.

In twenty twenty-four, our SEO strategies must prioritize audience-centric content that showcases human experience