Telling your AI to write “like Ron Swanson” might sound silly until you try it. In this episode, we get into why personality-driven prompts can instantly change how your content sounds and how it connects with people.

AI today knows way more about pop culture and tone than most folks expect. If you tap into that, your writing can stand out fast, whether you’re putting together emails, blog posts, or full-on campaigns. Of course, with so much AI content flying around now, the ethics side of things is getting more complicated too.

We’re talking about how to use personas well, and where it starts to get tricky.

When you ask your AI to write like Ron Swanson, something clicks. Characters and archetypes give AI a clear style to follow, which makes the results feel more human, more relatable, and honestly, more fun. Once you find a voice that fits your brand, adding it to your prompts helps your content stay sharp and consistent.

But there’s a flip side. We're stepping into new territory as AI starts learning from other AI-generated content, and with legal cases like Sarah Silverman’s pushing back on how data is used. This episode unpacks what that means for marketers and creators right now.

Key Takeaways

• Personality-based AI prompts can dramatically improve tone and relatability.
• Characters like Ron Swanson give AI a clear style reference—try experimenting with others.
• Matching reading level to audience expectations is just as important as tone.
• Ethical challenges are emerging fast as AI learns from AI-created content.
• Content creators and marketers need to stay alert to the evolving legal landscape.

👉 More content. Less hassle. See what’s possible at FOMO.ai.

❓7 Burning Questions (And Straight Answers)

How do personality-based AI prompts work?

When you reference a well-known persona or character, AI taps into its vast training data to mirror that style or tone. This can make outputs sound more natural and engaging.

Can this technique help with AI SEO?

Yes—engaging, well-written content performs better for both readers and search engines. Using distinct, relatable voices can boost readability and shareability, which influences SEO outcomes.

What are some good personas to try besides Ron Swanson?

You can experiment with prompts like “be presidential,” “a wise older sister,” or even “Santa Claus in a bad mood.” The possibilities are endless—choose tones that fit your brand.

Is it ethical to use personas like this in AI-generated content?

It depends. Referencing public personas or archetypes is common, but using copyrighted characters commercially can enter legal gray areas. Stay informed and cautious.

How does reading level affect content success?

Choosing the right reading level helps match your content to your audience’s expectations. For example, The Wall Street Journal typically targets 8th–11th grade levels, while tabloids aim for around 5th grade.

Are AI models now learning from AI-generated content?

Yes—this is an emerging challenge. As AI trains on AI-generated material, outputs can become more exaggerated or skewed over time. It’s a trend worth watching.

What are the legal risks of using AI for marketing content?

As lawsuits like Sarah Silverman’s against OpenAI show, copyright and data use in AI training is a hot topic. Marketers should stay up-to-date as the legal environment evolves.

👉 More content. Less hassle. See what’s possible at FOMO.ai.

Negotiate Smarter With an AI Coach by Your Side

Nailing your next negotiation doesn’t have to be a guessing game. This episode explores how AI is reshaping the way we approach deal-making—whether you're asking for a raise or closing a business contract.

AI coaches aren’t just futuristic add-ons—they’re practical tools that can dissect your communication style, simulate high-stakes conversations, and even give you real-time feedback as you negotiate. From emotional intelligence training to identifying your strongest alternatives (yes, we talk BATNA), this episode breaks down exactly how tech can sharpen your strategy and boost your confidence at the table.

Whether you’re a sales leader, a job seeker, or just tired of losing arguments over weekend plans, there’s something in here for you.

Key Takeaways

• AI tools can now analyze your negotiation style and offer actionable feedback.
• Real-time coaching during high-pressure talks is no longer science fiction.
• Scenario simulations let you practice without the real-world risk.
• Data-driven insights reveal what tactics actually work across industries.
• Emotional intelligence isn’t just human anymore—AI can help you improve it.

👉 Get more done without more work. See how at FOMO.ai.

❓Need-to-Know Q&A

What is an AI negotiation coach?

An AI negotiation coach is a digital tool that helps you improve your negotiation skills through analysis, simulations, and real-time support. It evaluates how you communicate and provides tailored advice to make you more effective.

How does AI give real-time feedback during a negotiation?

The AI listens to the conversation, picks up patterns in tone and language, and offers prompts or suggestions based on the flow. This allows you to pivot mid-conversation for a stronger outcome.

Can AI help me prepare for a salary negotiation?

Yes. AI can help map out your goals, assess your BATNA, and even analyze your employer’s likely responses. It’s like having a strategy coach in your back pocket.

Is AI negotiation coaching better than a human coach?

Not necessarily better—but often faster, cheaper, and available 24/7. It’s especially useful for regular practice or when hiring a coach isn’t an option.

What’s the benefit of practicing negotiation with AI simulations?

Simulations mimic real scenarios, giving you space to try new tactics and get immediate feedback. It builds confidence and muscle memory for the real thing.

How does emotional intelligence factor into AI coaching?

AI can detect emotional cues in speech and guide your response to defuse tension or build rapport. This can lead to smoother negotiations and better outcomes.

What is BATNA and why does it matter?

BATNA stands for Best Alternative to a Negotiated Agreement. Knowing your BATNA gives you leverage and prevents you from agreeing to unfavorable terms.

👉 Faster content, higher quality. Find out how at FOMO.ai.

AI vs. Automation: Why Knowing the Difference Matters

Most teams lump AI and automation together, but treating them the same could cost you.

Artificial Intelligence and marketing automation are reshaping how businesses operate, but they’re not the same. This episode discusses what sets them apart and why that difference matters more than most people think.

You’ll hear how AI learns, adapts, and makes smart decisions based on data, while automation handles the repetitive stuff in the background, no thinking, just doing. We’ll talk about real examples, like AI tools that don’t need prompts and automated workflows that run without anyone lifting a finger.

Are you unsure which one your team needs or how to make them work together without creating chaos? We’ve got you covered.

Key Takeaways

• AI learns and evolves—it’s built to make informed decisions, not just complete tasks.
• Automation sticks to rules. It handles repetitive processes so your team doesn’t have to.
• AI marketing tools like FOMO.ai operate without prompts, delivering true cognitive automation.
• Managed automation services let you outsource the headache—think expert-built, monitored workflows.
• Together, AI and automation create scalable systems that drive performance and personalization.

👉 Your marketing team, but smarter. Check it out at FOMO.ai.

❓7 Questions that Could Make or Break Your Next AI Decision

What’s the biggest difference between AI and automation?

AI mimics human intelligence to analyze data and make decisions, while automation follows pre-set rules to carry out tasks consistently.

Can AI replace marketing automation tools?

Not exactly. AI enhances decision-making and personalization, but automation handles repetitive actions. They complement each other, not compete.

What’s an example of AI in marketing that isn’t just automation?

Platforms like FOMO.ai use promptless AI that dynamically adapts messaging based on audience behavior—no human input or rule-setting needed.

Is automation still useful if I have AI tools?

Absolutely. Automation ensures tasks happen on time, while AI brings context and strategy. Most high-performing systems use both.

Do I need a developer to set up automation?

Not if you use no-code tools like Zapier or MAKE.com. For more complex needs, managed automation services offer a hands-off approach.

What’s “managed automation,” and who needs it?

It’s a full-service model where experts design, deploy, and maintain your automations. It’s ideal for teams that want results without building from scratch.

Can combining AI and automation improve customer retention?

Yes. AI identifies behavior patterns (like churn risk), while automation delivers timely, personalized campaigns in response.

👉 Smarter marketing starts here. Discover FOMO.ai.

10 EEAT Questions That Could Make or Break Your 2025 SEO Strategy

Marketers chasing rankings without EEAT are setting themselves up to fail. This episode unpacks the questions that matter and the strategies that work.

If you're working in fintech or running an eCommerce brand, you've probably noticed that trust isn't optional for anyone. Google's looking harder at who to rank, and EEAT (Experience, Expertise, Authoritativeness, and Trustworthiness) is right at the center of it. In this episode, we take a closer look at the challenges marketers face with EEAT—and how smart, AI-driven teams are solving them. We’re talking about practical ways to build trust: things like using visuals to show credibility, tightening up structured data, writing bios that actually add value, and earning backlinks that matter. If you're aiming to move faster without letting quality slip, this episode lays out what it really takes to stand out in SEO this year.

Key Takeaways

• EEAT isn’t just a checklist—it’s Google’s lens for judging trust, and niche industries feel the pressure most.
• Multimedia content boosts authority when it’s done right—think visuals that prove your process.
• Strong author bios are more than fluff; they’re your professional credentials in Google’s eyes.
• AI-generated content can hit EEAT benchmarks—if you pair automation with human strategy.
• User-generated content and structured data quietly do the heavy lifting for trust and visibility.

👉 More content. Less hassle. See what’s possible at FOMO.ai.

❓Top EEAT Questions Answered

What is EEAT in SEO?

Google uses EEAT—Experience, Expertise, Authoritativeness, Trustworthiness—to judge content quality. It’s key for visibility in sensitive or competitive spaces.

How does EEAT affect niche industries?

Specialized sectors must show deeper credibility. Verified credentials, peer-reviewed insights, and direct experience all matter more in these categories.

Can AI-generated content meet EEAT standards?

Yes, if paired with human oversight. AI ensures speed and consistency, while humans add nuance, relevance, and trust signals.

Do author bios influence search rankings?

They do. Google treats bios with linked profiles and proven credentials as authenticity signals that improve authority.

What’s the role of backlinks in EEAT?

Backlinks from respected sites work like endorsements. Strategic linking builds trust, boosts rankings, and validates expertise.

Does user-generated content improve EEAT?

Definitely. UGC proves engagement and trust. Reviews, Q&As, and success stories all reinforce credibility.

Why is structured data important for EEAT?

Schema markup makes trust signals machine-readable. Author tags, FAQs, and ratings all help clarify authority to search engines.

How does user experience tie into EEAT?

Great UX—clean layout, fast load, mobile-first design—signals professionalism. It keeps users engaged and builds trust.

Can AI help build trust with users?

AI personalizes engagement and scales consistency. Used right, it makes interactions feel smarter and more helpful.

What’s the smartest way to apply EEAT principles?

Focus on quality over quantity. Use expert input, cite trusted sources, and let AI help you stay consistent and compliant.

👉 Faster content, higher quality. Find out how at FOMO.ai.

How AI Transforms Content Marketing at Scale

Marketing teams face an impossible challenge—demand for content keeps growing, but resources don’t. Scaling production without burning out your team or sacrificing quality is the new marketing battleground.

AI isn't just automating tasks; it's changing the way teams create, strategize, and execute content. In this episode, we break down how AI-powered workflows are reshaping marketing, allowing businesses to produce more content while staying on brand and ahead of competitors.

Key Takeaways:

✅ AI helps marketing teams create more content without hiring more people.

✅ Automating content tasks lets human teams focus on strategy and creativity.

✅ AI maintains brand consistency across platforms, ensuring a unified voice.

✅ AI-powered insights improve content performance and engagement.

✅ Scaling content with AI reduces production costs while increasing output.

👉 Your marketing team, but smarter. Check it out at FOMO.ai.

FAQs

1. How does AI help marketing teams scale content production?

AI takes over repetitive tasks like research, drafting, and formatting, allowing marketing teams to focus on strategy and creativity. Instead of increasing headcount, teams can scale efficiently while maintaining quality.

2. Will AI-generated content hurt SEO?

Not if it’s used strategically. Search engines prioritize high-quality, original content. AI can assist with structure and keyword optimization, but human oversight ensures the final product is valuable and engaging.

3. Can AI maintain a brand’s unique voice?

Yes. AI tools trained on brand guidelines ensure consistency across all content. When paired with human refinement, AI-generated content stays on-brand while adapting to different formats and audiences.

4. What types of content can AI create?

AI can assist with blog posts, product descriptions, social media, email campaigns, and more. It also repurposes content for different platforms, making it easier to scale across multiple channels.

5. How do AI-powered insights improve content performance?

AI analyzes engagement data to refine content strategies. It tracks what resonates with audiences, helps identify trends, and ensures that teams focus on content that delivers results.

6. Does AI replace human marketers?

No. AI handles time-consuming tasks, but human creativity and strategic thinking remain essential. The best marketing teams use AI to streamline production, not replace people.

7. How do I integrate AI into my content workflow?

Start with the most time-consuming tasks—research, drafting, or formatting. AI can automate these areas, freeing your team to focus on high-value creative and strategic work.

👉 Faster content, higher quality. Find out how at FOMO.ai.

This episode is the audio to accompany my latest YouTube video about Google's shockingly great conversational AI tool!

WATCH: https://youtu.be/_7qgxEmFsq0

What if an AI could not only understand complex information but also speak it back to you as a conversation between experts in a voice so natural you’d swear it was human? That’s exactly what Notebook LM by Google brings to the table.

• Amazing for learning complex materials
• Incredible use of 'disfluencies' to make it natural
• Shockingly good for instantly making podcast episodes
• As Google pushes SEO & content marketer to be more multi-channel, this solves a big problem

Powered by the Gemini model, this tool isn’t just for text—it creates eerily realistic audio, suggests insightful prompts, and even helps break down dense documents. MORE THAN good enough to make real podcast episodes! I’ll show you how I used it to generate podcast episodes and audio clips from articles and books.

Buckle up, because in today’s episode we’re diving into a mind-bending experiment where AI takes on a game of deception and strategy—and it just might outsmart us all.

Read the original article here.

Dax Hamman, a CEO with a passion for AI, throws ChatGPT into the middle of the classic game Werewolves vs. Villagers to see how well an AI can handle the social dynamics, trust, and deception that usually come naturally to humans.

The results?

Let’s just say the AI werewolves did more than just survive—they dominated. Join us as we unpack what happened, how AI navigated this complex social experiment, and what it all means for the future of AI in human-like interactions.

Key Takeaways

• AI in a Social Game: Dax Hamman sets up a Werewolves vs. Villagers game but replaces the human players with AI, including ChatGPT. The result was surprising, with AI werewolves winning far more often than human trends predict.
• Understanding Human Cues: One of the biggest questions explored in this episode is whether AI can detect lies, build trust, and strategize in a social game the way humans do. AI may process data with lightning speed, but it struggles with reading the room the way humans do.
• Logical vs. Emotional Strategy: ChatGPT revealed that its decisions were purely logical, highlighting its limitations in understanding emotional cues and intuition. These are things humans rely on heavily in social situations, especially in games of deception.
• AI’s Reflections: ChatGPT even offered insight into its own performance, explaining how the structured environment may have given AI players an edge over humans and pointing out its lack of gut feelings and social dynamics that define human play.

Topics Discussed

• The mechanics of Dax Hamman’s AI experiment and the setup of Werewolves vs. Villagers with AI.
• The differences between human intuition and AI logic in social situations.
• How AI’s logical processing can sometimes outperform humans in controlled environments.
• The limitations of AI when it comes to bluffing, trust, and deception in games—and in life.

Memorable Quotes

• “ChatGPT, in its own way, would say, ‘Look, I’m working with algorithms, probabilities...I don’t have those flashes of insight or gut feelings that you humans rely on.’” — ChatGPT (as quoted by Dax Hamman)
• “ChatGPT openly admitted it had a hard time with deception—something that comes naturally to humans, but not to machines.” — Dax Hamman
• “At the end of the day, there’s still that certain something AI hasn’t quite grasped—intuition, social awareness, and even a bit of good old-fashioned guile.” — Dax Hamman

Are you ready for the biggest shake-up in search history? What if I told you the way people find your business is changing right now, and most marketers haven’t even noticed yet? In this video, I’m going to show you what’s happening with Google, search engines, and the rise of AI-powered alternatives—and, more importantly, what you can do to stay ahead.

Learn more at FOMO.ai

Watch a presentation by me on YouTube

#ai #marketing #artificialintelligence #chatgpt

I’m Dax, co-founder and CEO of FOMO.ai, where we’ve created a revolutionary way to supercharge your marketing efforts with non-human team members that deliver faster, better results. Shoot me an email at dax@fomo.ai, but let’s get straight into why you need to rethink your entire search strategy today.

For over a decade, Google has been the homepage for almost all our online searches. We’ve trusted it to deliver links that lead us to what we’re looking for—whether it's websites, products, or answers. But that era is rapidly coming to an end. Search volume on Google is down about 4%, and new players like ChatGPT, TikTok, and even Bing are eating into its dominance. Yes, you heard that right—Bing is relevant again in 2024, powering platforms like ChatGPT.

Search is no longer about typing in a few keywords and getting links. People are asking more detailed, conversational questions—especially through voice search. Voice search now accounts for a huge chunk of online activity, with over 60% of Americans using voice assistants. When people ask voice-activated devices questions, they give more context, like “What’s the best dog-friendly hotel in San Francisco?” instead of just “Hotel San Francisco.” This is transforming the way search engines process and deliver results.

And here’s where it gets tricky for Google. With platforms like ChatGPT, people are getting answers directly—no need to sift through links. This shift means fewer clicks from Google’s search results, and it’s already affecting businesses. I talk to major brands every week, and many are seeing a 15-25% drop in clicks, even though their rankings haven’t changed. The game has changed: Google is no longer just a search engine—it’s becoming a knowledge engine, delivering answers directly rather than sending users to other websites.

So, what does this mean for you? The old SEO strategies won’t cut it anymore. It’s no longer just about ranking for keywords; now you need to be part of the conversation. You need to understand the questions your audience is asking and create content that answers them directly. The rise of AI has made it essential to focus on providing valuable, context-rich answers rather than stuffing your content with keywords.

Here’s how you can stay competitive: First, get to know the questions your audience is asking. You’re no longer competing just with other businesses—you’re competing for attention in a conversation that spans across platforms like YouTube, TikTok, and even Reddit. Then, turn those questions into valuable content that addresses specific needs and delivers real insights. This isn’t just about writing blog posts—it’s about being present in the places where people are asking these questions.

In short, this isn’t just an update to Google’s algorithm—it’s a fundamental shift in how search works. But here’s the good news: the big brands are still catching up. That means there’s a first-mover advantage for those willing to adapt now. If you want to stay ahead of the game and win in this new search environment, I’m here to help.