Rand Fishkin ran 2,961 prompts across ChatGPT, Claude, and Google AI. 

Fewer than 1 in 100 produced the same brand list. In this conversation, he breaks down why the entire "AI ranking" category is built on probability, what actually moves your brand into LLM answers, and how he's marketing his new product AlertMouse with zero AI search visibility on day one.

Rand Fishkin is the cofounder and CEO of three companies: SparkToro, software that makes audience research accessible to everyone, indie game maker Snackbar Studio, and the the superior alternative to Google Alerts: Alertmouse.

What you'll learn:

→ Why AI answers are probabilistic, not deterministic, and what to track instead of rankings

→ The two real mechanisms that influence LLM visibility (RAG and training data)

→ How user prompts actually behave when 150 people are asked the same question

→ Why PR and positioning are now 100x more important than tactical SEO

→ The white hat playbook for showing up in ChatGPT, Gemini, and Google AI Overviews

→ How to use AlertMouse and SparkToro together to find prompts your buyers actually use

→ What "audience intelligence" vs. "audience research" teaches you about brand positioning lag

→ The Seattle Ultrasonics knife story: how one founder turned mentions into product roadmap

→ Where Rand says marketers should spend attention in 2026 (and what to ignore)

Chapters:

0:02 Intro

0:38 The Datos prompt study and why AI answers are random

4:13 The two mechanisms that move LLM visibility

8:47 How Rand is marketing AlertMouse from zero visibility

13:42 Why positioning is the biggest AEO lever

17:08 AlertMouse use cases and the Seattle Ultrasonics story

22:11 Where to actually invest attention in 2026

Connect with Rand:

SparkToro: https://sparktoro.com

AlertMouse: https://alertmouse.com

LinkedIn: https://www.linkedin.com/in/randfishkinWhat are other ideas that we can add for the YouTube thumbnail? I don't really love "AI rankings don't exist." What are some of the main takeaways from the episode?

Ryan Doser shows the exact Claude Code workflow he uses to turn one YouTube video into a fully SEO-optimized WordPress blog post — screenshots, internal links, affiliate links, and meta data included — in about five minutes.

Ryan runs ryandoser.com, has a 33K-subscriber YouTube channel, and has been building production SEO systems with Claude Code. In this episode he screen-shares the whole pipeline: the skill markdown file that holds his SEO playbook, the Taddy MCP that scrapes the YouTube transcript, the Python script that pulls screenshots from the video, and the WordPress MCP that posts the draft. The result ranks on Google with a fresh domain and zero backlinks.

We also cover why "AI content" gets confused with "AI slop," how to organize skills so they don't collide, and why YouTube should be the foundation of any content strategy in 2026.

Key Takeaways

• A skill markdown file is your brain dump turned into a system. Without it, Claude Code produces slop. With it, you get publishable posts in five minutes.
• Start your content strategy on YouTube. Google ranks YouTube videos in search results, and one long-form video becomes the source material for a blog post, social posts, and an email.
• One task, one skill. Don't build three SEO skills. Build one and iterate. Use a Skill Creator skill plus auto-research to compound improvements.

Connect with Ryan

• Site: https://ryandoser.com
• YouTube: https://www.youtube.com/@RyanDoserAI

In this episode, Gen Furukawa  speaks with Carl Holden, founder and CEO of RankBot, to unpack one of the most misunderstood parts of modern SEO: how link authority, automated outreach, and external site signals power both traditional Google rankings and AI-generated answers across ChatGPT, Gemini, and Perplexity.

Carl explains why backlinks still matter in an AI-first world, why large language models continue to depend on search results for rankings, and how marketers can build durable visibility in an era defined by Answer Engine Optimization.

You’ll learn how to think about off-page SEO in an unreliable, fast-changing algorithm landscape, and why diversifying your presence across blogs, YouTube, TikTok, Reddit, and short-form video is becoming essential for LLM citations.

01:35 Understanding Link Building and SEO

02:52 Automating Link Building with AI

04:22 Challenges and Strategies in Link Building

12:02 The Future of Off-Page SEO

17:15 Leveraging AI in Marketing

22:58 Final Thoughts and Advice for Marketers

What does SEO look like when Google is no longer the gatekeeper?

In this episode of The SuperMarketers Podcast, Tom Winter, Co-Founder and CEO of SEOwind, joins Gen Furukawa to explore how AI and Large Language Models (LLMs) are completely rewriting the rules of SEO, content strategy, and digital authority.

Tom shares why he believes LLMs should be treated as logical engines, not search engines—and how this mindset shift is helping brands move beyond keywords to context. He unpacks the inner workings of SEOwind’s AI-powered research workflows, where agents gather, structure, and verify data before a single word is written, producing content that’s human-level in quality and primed for AI search visibility.

You’ll learn:

• Why most “AI-written” content fails—and how to make yours stand out

• How to define and measure content quality using E-E-A-T and quantifiable metrics

• The 90-day playbook to increase visibility in LLM-driven search results

• Why your SEO strategy should start with entities, not keywords

• How to apply “Human as a Service” thinking to scale content operations without losing quality
  

Whether you’re a marketer, SEO strategist, or AI enthusiast, this episode reveals how to build content for a world where LLMs—not Google—decide what gets seen.

00:00 – Intro and welcome with Gen Furukawa

00:59 – What SEOwind does differently: AI agents for research, not just writing

02:17 – Why “one-click” AI content fails and how Human-as-a-Service changes everything

04:38 – Why LLMs are logical engines, not search engines

07:10 – How to define and measure E-E-A-T (Experience, Expertise, Authority, Trust)

10:00 – Why “good content” must be quantifiable and measurable

14:55 – The shift from ranking pages to solving problems in AI search

20:01 – The 90-day playbook for building LLM visibility and authority

22:00 – Chunking, schema, and technical SEO for AI crawling

25:00 – How to build credibility through LinkedIn, YouTube, and AI-crawled sites

27:42 – Treating AI as your teammate, not a tool

30:00 – Closing thoughts and where to find Tom Winter online

👉 Follow Tom Winter on LinkedIn: https://www.linkedin.com/in/tom-winter/

SEOwind – SEOwind is an AI-powered content research and writing platform that uses intelligent workflows and LLM agents to produce deeply researched, high-quality, and non-fluff SEO content at scale.

Try SEO Wind at seowind.io

👉 Connect with Gen Furukawa on LinkedIn: https://www.linkedin.com/in/tom-winter/

SuperMarketers.ai – SuperMarketers.ai helps B2B SaaS founders and marketers turn AI and automation into growth engines through done-for-you content, LinkedIn strategy, and scalable inbound marketing systems: 

www.supermarketers.ai

Highlights: 

01:05 — How Gauge reverse engineers AI answers to uncover why some brands get mentioned while others don’t.

04:11 — Why personalization in ChatGPT makes manual tracking nearly impossible without anonymous data.

05:28 — The hidden value of showing up in top-of-funnel AI answers even when clicks disappear.

07:02 — If you only had five hours a month, here’s the single most effective lever to grow AI visibility.

09:15 — The “fat tail” effect in AI search and why cracking the top 50 matters more than ranking #1 on Google.

18:47 — Case study: how one brand tripled AI visibility in two weeks and what it reveals about the future of search.

=============================== 

Stop Publishing Content. Start Engineering Demand with SuperMarketers. SuperMarketers is the AI Content Engine for B2B SaaS. Built to rank, answer, and convert. Learn more at www.supermarketers.ai

Connect with Gen Furukawa: https://www.linkedin.com/in/genfurukawa/

=============================== 

Find Caelean Barnes on LinkedIn: https://www.linkedin.com/in/caelean/

=============================== 

​Gauge helps companies show up in more AI answers. With traffic shifting off of Google and into AI, the way customers are discovering and deciding has changed.

Gauge measures responses in AI answers to find the highest leverage opportunities for your brand. This enables you to increase your AI presence and drive more leads. Customers are seeing over a 5x increase in AI answer share with Gauge.

Find out more at ​https://withgauge.com 

LINKS: 

• Retina Media: https://retina.media/
• Shane on LinkedIn: https://www.linkedin.com/in/shanehtepper/
• SuperMarketers: www.supermarketers.ai

• AI-Proof Channels: Events, referrals, and trust-based marketing are emerging as "AI-proof" channels
• The 95% Rule: 95% of content cited by AI agents has been updated in the last 10 months
• Four Pillars of Winning Content: Unique/authoritative, persuasive (to both humans and AI), well-structured, and properly cited
• Content Engineers: New role combining AI knowledge, content expertise, and business process optimization
• AEO vs SEO: Answer Engine Optimization requires optimizing for multiple AI agents, not just Google

• Using Google Search Console to find high-impression, low-click pages
• Internal linking as an overlooked SEO win
• Schema markup and proper H1-H4 structure for AI agents
• Content refresh frameworks (low/medium/high effort levels)
• Voice memo workflows for content creation
• Custom GPT projects for content strategy

• AirOps website: airops.com
• Benchmark your top pages against
the best in SaaS—and see what’s costing you visibility: https://www.airops.com/answer-engine-visibility 

Every Zoom call hides revenue-ready insights. Fathom founder Richard White explains how AI meeting intelligence turns raw transcripts into competitive advantage, content fuel, and a product-led growth flywheel for B2B SaaS marketers.

Check Out Fathom: https://fathom.video/

Show Highlights: 
5:13 – Why SEO is breaking: AI-generated content, noise in SERPs, and Josh’s pivot to LinkedIn

10:40 – Josh’s AI content workflow: repurposing blog posts into LinkedIn posts using ChatGPT

17:00 – What is RAG (Retrieval Augmented Generation) and how it helps encode brand voice into AI outputs

21:00 – Data prep for vector databases: chunking content, using parsers, and why this step is critical

25:00 – How marketers can use segmentation and clustering models for better GTM strategy

32:00 – When LLMs work well: text generation, summarization, sentiment analysis, and chat transcript insights

34:00 – The future of LLMs in orgs: how they could replace middle management through summarization

📍 Visit Josh at Sharp Sight Labs

🤝 Connect on LinkedIn: Josh Ebner

Show Highlights:

0:00 - Introduction: How AI is reshaping client management in professional services

4:29 - Why professional service firms struggle with client data and decision-making

9:00 - How KnownWell’s AI scores client relationships and predicts retention risk

14:10 - AI vs. human intuition: Why gut instinct isn’t enough for scaling client relationships

19:30 - How AI surfaces upsell opportunities and prevents churn before it happens

24:45 - The future of AI in operations and why marketing firms must adapt

26:00 - Closing thoughts: How AI can give your business a competitive edge

Find Courtney on LinkedIn 

Knownwell

Hop Online

Paris Childress on LinkedIn

Show Notes: 
4:00 - Building an ICP Matrix with AI: Understanding customer profiles 
8:00 -  How To Use client call transcripts to build better AI outputs 
14:00 -  Creating an AI council: Getting 30 people on board without fear 
16:00 -  Using GPT-4 as a strategic thought partner for agency transformation

Zach on LinkedIn

Reveal.ai

6:01 - Exploration of how to use customer insights in marketing

11:05 - Zach explains how customer understanding manifests in marketing efforts

15:48 - Discussion on personalization in outreach and scaling efforts

21:13 - Explanation of Anthropic's prompt builder and its benefits

26:36 - Exploring different ways to use customer conversation transcripts for content creation

31:05 - Recommendations for teams to get more out of AI, including developing an "AI-first mindset"

35:57 - Discussion on creating SOPs and improving processes with AI

Most outbound teams burn through their TAM with the same generic sequences and wonder why CAC keeps climbing. Parthi Loganathan, CEO of LetterDrop, runs a one-person BDR team that books seven-plus meetings a week using a different approach: identify the small slice of buyers actively evaluating competitors, then build campaigns that lead with value instead of pitch.

In this conversation, Parthi breaks down how LetterDrop reverse-engineers competitor pipelines from public online signals - who is commenting on whose posts, who is connecting with which AEs, who is engaging with which content. He explains the highest-converting outbound campaign he has ever run (giving competitors' qualified leads away for free to VPs of Sales), why agentic systems will absorb the brittle Zapier-style workflows BDRs run today, and what part of the BDR job is permanent: face-to-face channels, creative campaign design, and intelligence work that requires actually understanding the buyer.

He also shares why he believes SaaS is entering a compression cycle - where the software that survives exposes itself as APIs and MCPs for agents instead of dashboards for humans - and why his team just shipped 70% of LetterDrop as MCP endpoints for Claude Code users.

Key Takeaways

1. Only 5% of your TAM is in-market at any time. Reaching out to the other 95% is what is killing BDR economics. Parthi's whole thesis is that outbound stops working when you spray and starts working when you read public signals to find the active 5% before competitors do.
2. You can reverse-engineer your competitor's CRM from public data. LetterDrop builds a graph of who is talking to whom online - comments, connections, engagement patterns - and uses that to guess which prospects are actively talking to your competitors. Without scraping anything proprietary.
3. The "free lead" campaign is LetterDrop's highest-converting outbound play. Identify someone evaluating a competitor, send the lead directly to that competitor's CMO or VP of Sales as a free gift. Perceived value is hundreds to thousands per qualified lead, so it gets opened, replied to, and converts at rates a pitch sequence cannot touch.
4. BDRs keep the face channels and the creativity. Agents take everything else. Account intelligence, sequencing, decisioning, and brittle Zapier-style workflows go to agents. BDRs own calls, video DMs, in-person, and the campaign creativity that requires understanding why your buyers actually buy.
5. SaaS is compressing toward APIs and MCPs. The software that survives the agent era will not be dashboards. It will be hard-to-replicate data exposed as MCP endpoints. LetterDrop already shipped 70% of its product as MCPs for Claude Code users - a preview of where B2B SaaS pricing power is heading.

LetterDrop - Signal-based outbound and competitive intelligence platform

SuperMarketers: Build your AI visibility system at https://supermarketers.ai

Follow Gen on LinkedIn: https://www.linkedin.com/in/genfurukawa

Greg Brooks on LinkedIn

SearchTides Website

Highlight Timestamps:

• 3:45 - Greg explains how AI is changing search behavior and the importance of creating efficient, valuable content
• 9:15 - Discussion on the process of identifying core topics and creating content strategy
• 16:30 - Greg shares a real-world example of content strategy using personal lending as a topic
• 23:45 - Insights on the future of commerce and how AI will impact company growth and consumer choice
• 28:30 - Greg's perspective on the importance of brand equity in the future of marketing

Kevin Dean is the CEO and President of ManoByte, a leading inbound marketing agency specializing in sales and marketing automation, HubSpot CRM implementation, and business intelligence solutions. 

Manobyte - https://www.manobyte.com/

Kevin on LinkedIn - https://www.linkedin.com/in/kjdean/

Matt McGrory on Linked IN

Check out Arwen

Timestamps: 
0:57 - Explanation of AI-powered content moderation

2:57 - Using RAG for brand-specific engagement

5:22 - Balancing AI automation with human oversight

8:28 - Prompt engineering and human-reinforced learning

9:00 - Using AI for creative storytelling in marketing

12:27 - Manual moderation techniques before AI tools

14:00 - Creating a structured approach to social media engagement

17:32 - Understanding brand health reports and benchmarks

21:38 - Analyzing sentiment and emotions in social media campaigns

26:53 - Key takeaways for growing on social media using AI

30:46 - Closing remarks and contact information

Check out Omneky

Hikari on Linked In

Show Highlights: 

2:09 - Current AI capabilities in marketing

4:40 - Building effective brand assets for AI

6:53 - Analyzing marketing metrics with AI

9:06 - The future of personalization in advertising

10:55 - Limitations and potential of AI in marketing

14:27 - Integrating AI with existing marketing automation

17:54 - Advice for marketers to stay ahead in AI

21:51 - The enduring importance of human elements in marketing

Check out Tykr: https://tykr.com/

Show Highlights: 

00:00 Introduction and Guest Welcome

00:19 Sean Tepper's Background and Journey

02:24 Ticker's Growth and Features

03:49 Marketing and AI Integration

04:17 Content Creation Workflow

06:47 SEO and Content Optimization

10:39 Leveraging AI for Content

19:53 Learning Resources and Final Thoughts

Thanks to this week’s sponsor, Landbot, AI Chatbot Generator for Conversational Experiences.

Marketing, Sales, and Customer Service teams save time and cut operating costs by automating conversations with Landbot's AI Chatbot Generator.

Start your free trial here:

https://bit.ly/4dRYGJw

Show Highlights: 

1:00 - Dan’s Marketing Journey: Dan shares his transition from graphic design to a comprehensive marketing role, including his work at Sweetfish.

3:10 - The Impact of AI on Marketing: Dan explains how AI is becoming integral to all aspects of marketing and why he decided to focus on it.

5:35 - Repurposing Content with AI: Detailed explanation of how Dan uses AI to turn a single podcast episode into 40 pieces of content in 60 minutes.

8:00 - Tools and Techniques: Discussion on the tools like Cast Magic and custom GPTs Dan uses for efficient content repurposing.

10:15 - The Step Method: Dan introduces his "Step Method" for creating high-quality content using starter content, templates, examples, and prompts.

12:45 - The Power of Super Prompts: Insights into how super prompts enhance AI-generated content and make it more effective.

15:20 - Practical AI Applications: Examples of how AI can handle repetitive marketing tasks like scheduling and reporting.

17:50 - Personalization with AI: How to use AI for creating personalized and actionable content for different audience segments.

20:35 - Automating Education: Discussion on using AI to customize learning experiences and course content.

22:50 - Challenges and Learnings: Dan shares his experiences with the limitations and potential of AI tools in marketing.

25:00 - Future of AI in Marketing: Dan's vision for the future of AI in marketing and how marketers can stay ahead of the curve.

27:35 - Final Thoughts and Contact Information: Dan provides his final thoughts and shares how listeners can connect with him.

Learn More About Dan Sanchez: https://danchez.com/

Dan’s Podcast: https://aidrivenmarketer.com/

Timestamps

• 01:00 - Kyle's Background and NFPs.ai Overview Kyle shares his journey from working in nonprofits to founding NFPs.ai and the mission behind it.
• 04:00 - The Power of AI in Everyday Tasks Discover how AI can simplify personal and professional tasks, from fixing cars to strategic planning.
• 09:00 - Identifying Automation Opportunities Learn how to spot repetitive tasks ripe for automation and break them down for maximum efficiency.
• 14:00 - Tools for Automation: Make.com vs. Zapier Comparing different automation tools, their pros, cons, and suitability for various tasks.
• 19:00 - The Importance of Webhooks Understand how webhooks can simplify and enhance your automation processes.
• 23:00 - Real-life Automation Examples Kyle shares practical examples of how he uses automation to streamline operations and save time.

NFPs.ai

Kyle Behrend on Linked In

Kyle Behrend, Founder of NFPs.ai, is a seasoned not-for-profit professional with over 13 years of diverse experience. His mission is to empower not-for-profits by providing access to AI knowledge and tools to maximize impact. 

Kyle's background spans from animal care to operations management, equipping him with a unique skill set in communication, teaching, and problem-solving. Through NFPs.ai, he aims to foster a future where not-for-profits confidently harness AI to save resources and increase their impact.

Dan Chuparkoff is a keynote speaker with more than 25 years of hands-on, team-transformation experience at organizations of all shapes and sizes. He’s been a leader at Google, McKinsey, Atlassian, and an impressive array of startups and enterprises. He has consulted with countless other teams on AI, innovation, change-management, and collaboration. Dan’s clients have included many of the global Fortune 500 as well as some of the startup circle’s newest and brightest stars.

Learn more about Dan Here

Show Highlights: 

• 0:58: Dan Chuparkoff discusses his journey from traditional marketing to AI and innovation.
• 3:00: The transformative impact of AI-powered meeting note-taking tools.
• 7:00: Dan explains the "hierarchy of human expertise" and the types of work AI cannot do.
• 11:00: How AI enhances persona management in marketing for highly personalized customer interaction.
• 18:00: The significant role of AI in language translation and global market expansion.
• 20:00: Personal insights on using AI for daily business operations and client communications.

Find Jérémy Grandillon on Linked In

Check out the AI Sales Innovator

Timestamps: 

• 1:08 - Jeremy's journey from rookie sales rep to building a sales & marketing department from scratch
• 3:27 - The trial-and-error process Jeremy used to crack the code on creating engaging LinkedIn content
• 5:45 - How to train a custom GPT model to generate original, on-brand LinkedIn posts tailored to you
• 10:24 - Jeremy's framework for targeting your ideal customers on LinkedIn's vast network
• 13:32 - Crafting personalized cold outreach by leveraging AI to research prospects at scale
• 17:15 - The multichannel sequence Jeremy recommends for starting conversations with new leads
• 19:39 - Qualifying prospects through genuine dialogues while avoiding pushy sales tactics
• 21:44 - Nurturing leads with valuable content to build long-term trust when they aren't ready to buy
• 23:44 - Jeremy's essential AI tools for content creation, lead research, outreach, and sales meetings
• 27:46 - Top LinkedIn creators and YouTube channels to follow to stay on the cutting edge of AI

BENlabs.com

Alex Montas Hernándezon Linked In

7:45: How AI helped Ben Labs increase website traffic by 50%

13:57: Using AI to create templates for high-stakes emails

19:48: Automating video content creation with AI

26:46: Alex's favorite AI tools for marketers

28:33: The importance of simplicity when incorporating AI into your workflow

Tamara Ceman breaks down the exact AI workflow she uses to synthesize customer interviews, prioritize insights, and build interactive marketing tools - without exposing client data.Tamara is a B2B SaaS marketing consultant who's run marketing at Markup (now part of Eros) and U-Screen, and now helps founders break through growth plateaus as an interim head of marketing. In this episode, she walks through her four-tool stack: Granola for AI note-taking, Miro AI for clustering customer conversations into stickies, Claude Projects for synthesis with memory and context, and Lovable for shipping interactive workshop tools and team utilities. She also covers the data privacy reality that shapes every consultant's AI workflow, and why the handover between AI output and human judgment is where most marketers fail.Chapters00:00 Welcome and the "practical marketer" positioning01:00 Tamara's background and consulting methodology04:00 How AI changed marketing work (and what to stay skeptical about)08:00 The consultant's reality: data privacy and disconnected tools09:30 Granola: AI note-taking for customer interviews14:00 Miro AI: turning conversations into prioritized stickies17:00 The human-AI handover for judgment calls21:00 Claude Projects: setting up memory, context, and instructions25:00 Lovable: building no-code marketing tools (live demo)30:00 Where to find TamaraKey TakeawaysMost marketers fail at the handover between AI synthesis and human judgment. AI gets you to a draft fast - your job is the polish, the validation, and the call on what's actually accurate.Spend five minutes setting up a Claude Project with custom instructions, memory, and uploaded context (PDFs, screenshots, brand docs) before any real work. The output gets dramatically better and stays consistent across chats.Lovable lets you build interactive workshop tools, customer-facing exercises, and team utilities (Tamara demoed a YouTube script generator) without writing code. The use case: anywhere your team is doing repetitive work that doesn't need a human in the loop.Find TamaraPractical Marketer: https://practical-marketer.comSubscribeSuperMarketers Podcast on YouTubeMore from Gen: https://supermarketers.aiFollow me 👇https://www.linkedin.com/in/genfurukawa/===============================Who am I, and why should you listen to me?I’m Gen Furukawa — founder, operator, and marketing systems builder. I’ve built and sold a SaaS company, led marketing at a high-growth startup, and now help B2B SaaS teams scale content and demand with automation, AI, and strategy.At SuperMarketers, we don’t just give you content - we create powerful inbound growth engines that generate qualified leads without hiring too many people. I’ll share the exact strategies, processes, and automated systems we use with clients to help you turn your ideas into action, faster.Turn Your Team into a LinkedIn Growth Engine. Learn more: https://supermarketers.ai

UTTR.com

Sam Viskovich on Linked In

2:00 - The philosophy behind UTTR's fractional team approach

4:50 - Areas where AI is useful for marketers (ideation, copywriting, analysis)

11:00 - The promise and challenges of personalization at scale

17:30 - The importance of creativity in digital advertising

24:40 - How Sam stays up to date with marketing and AI developments

SalesCaptain.io

Bill Stathopoulos on Linked In

1:11 - Bill shares the organic story of how Sales Captain started and grew to a successful B2B outbound agency.

4:04 - The importance of defining your total addressable market and ideal customer profile for successful cold outreach.

6:00 - Bill explains the power of cold email as a targeted and cost-effective outreach method.

9:30 - Key components of a successful cold email campaign: audience, messaging, offer, and supporting content.

13:00 - How Sales Captain uses AI tools like Clay for lead segmentation and enrichment, saving time and manual labor.

Originality.ai Website

Jon Gillham on Linked In

Highlights from the conversation: 

• 1:30 - Jon's background and the story behind Originality.ai
• 4:45 - The challenges of using AI-generated content at scale while providing value to users
• 7:20 - How content marketers are leveraging AI-generated content to get ahead
• 10:15 - The importance of evolving content strategies beyond just words and incorporating original research
• 13:40 - Jon's personal use of ChatGPT to improve communication and content creation
• 16:50 - The potential of multimodal AI in transforming content creation and consumption
• 19:30 - Actionable tips for marketers to effectively use AI-generated content
• 22:00 - The future of AI content detection and its implications for the industry

MarketingPros.ai

Isabella Bedoya on Linked In

• 0:37 Isabella introduces Marketing pros.ai and its mission to integrate AI into marketing and sales.
• 1:47 Discussion on common AI applications in marketing for efficiency and ROI enhancement.
• 3:24 Exploration of top pain points in marketing that AI can address: content, copywriting, and email.
• 5:41 Insights into the use of custom GPTs for generating targeted content and the importance of quality control.
• 9:09 How to automate customer engagement and qualification through AI-driven communications.
• 11:53 The use of AI in automating and streamlining email responses and customer interactions.
• 17:18 Introduction to AI agents for direct customer calls and automated scheduling.
• 20:21 Favorite AI and automation tools that Isabella recommends for marketers.
• 23:38 Sources and resources Isabella uses to stay updated on AI advancements in marketing.
• 27:10 Advice for marketers looking to start with AI: focus on one area and experiment.

Michael Goldrich on Linked In
Vivander Advisors

Show Highlights:

• 3:45 - Michael's background and experience with AI
• 6:30 - The 5-step process for implementing AI
• 10:15 - AI use cases and opportunities for marketing teams
• 13:30 - Low-hanging fruit for marketers to get started with AI
• 17:00 - Granular details on prompts and best practices
• 20:30 - Transition to focusing on the book “Too Many Hats, Too Little Time”
• 23:00 - Real-world examples and applications
• 26:30 - Recommendations for tools and strategies for marketers
• 30:15 - Where to learn more and the book details

LightMagic.ai

Connect with Tyler Fisk on Linked In

Neama Dadkhahnikoo on Linked In

Show Highlights: 

3:45 - Introduction to Neama Dadkhahnikoo and his role at Google Outbound, focusing on Cloud AI.

6:00 - Discussion on the daily applications of AI in marketing and productivity, and its impact on market strategies.

8:05 - Neama shares unique AI use cases in data analysis and customer representation, emphasizing diverse data sets for accurate AI outcomes.

12:18 - Exploring AI's capabilities in enhancing email and presentation productivity, and customizing AI models for specific business needs.

14:22 - Insights into the future of AI in marketing automation and the importance of human oversight in automated processes.

16:29 - Best practices for structuring prompts to get the most effective responses from AI tools in marketing tasks.

18:57 - The role of data annotation and human feedback in improving large language AI models, and their relevance to marketing.

21:07 - Neama talks about integrating AI with marketing analytics for deeper insights and better decision-making.

23:12 - Future vision of AI in marketing: Recommendations for marketers to prepare for an AI-driven landscape.

25:42 - Closing remarks: Neama's advice for aspiring marketers to leverage AI in their marketing strategies effectively.

Danny on Linked In

TranscribeIQ

SHOW HIGHLIGHTS: 

• 4:30: Danny discusses using AI to understand and improve customer journeys.
• 9:15: Exploring personalization in customer experiences through AI.
• 14:00: Effective communication strategies informed by AI insights.
• 20:45: Danny's experience with TranscribeIQ and applying AI in business.
• 27:10: Practical ways to integrate AI into everyday business processes.

Rebecca Clyde on Linked In

Botco.ai Website

Conversation Highlights: 

• 2:35 - Enhancing Customer Experience with AI: Rebecca Clyde discusses Botco.ai’s approach to improving customer experiences and services through AI.
• 6:21 - Doubling Conversion Rates with AI: Insights into how Botco.ai's AI chatbot technology has significantly increased conversion rates for healthcare providers.
• 9:19 - AI Adoption Strategies for Marketing: Rebecca shares effective ways companies can adopt AI in marketing and the benefits of internal AI tools for employees.
• 15:10 -  Emerging Trends in AI and Marketing: Rebecca Clyde elaborates on critical AI trends marketers should watch out for heading into 2024, including data preparation and utilization of AI insights.

Jeff Staats on Linked In

Hayley Marketing 

Show Highlights: 

• [00:00:00] Introduction: Uncover the unique staffing approach of Jeff Staats and Haley Marketing.
• [00:05:09] Strategy Development with AI: Learn how AI assists in crafting marketing strategies for staffing firms.
• [00:10:35] Implementing AI in Staffing: Insights into successful AI integration for staffing operations.
• [00:16:17] Practical AI Tools: Discover essential tools for enhancing marketing efficiency with AI.
• [00:22:18] AI Learning Resources: Tips for expanding your AI knowledge in the marketing realm.

Andréa Jones has published 400 podcast episodes while raising two kids under five. Her system is not hustle - it is infrastructure built from necessity.

The podcast is her content hub. Every idea starts as a voice note in Google Notes, gets structured in a ChatGPT project trained on her proprietary Mindful Marketing framework, audience personas, and email voice. She records in Riverside, then runs the audio through Cast Magic - a repurposing tool that generates 20 pieces of content per episode: show notes, social quotes, one-liners, newsletter drafts, and thread-style posts trained on her voice.

She layers these outputs into two Airtable calendars - an editorial calendar for signature content and a social media calendar she populates months in advance during high-energy windows. Content from episode 399 might not hit social until two months later.

Andréa also runs Uncommon Marketing Agency, where she builds AI-powered interactive web experiences for brands - including an 8-bit style game for Niagara Falls tourism that replaces the generic results you get from ChatGPT or Claude with a curated, closed-loop brand experience.

Her strongest take: marketers need to get "elegant" with prompting. The inputs need to be as detailed as the outputs you expect - audience personas, objection handling, awareness levels. Most people skip this and get generic results.

1. One podcast episode produces 20+ content pieces through Cast Magic - Andréa uploads each episode's audio and gets titles, timestamps, social quotes, one-liners, newsletter drafts, and thread-style posts - all trained on her voice. She edits but never starts from blank.

2. Content batching on energy cycles beats daily consistency - She populates her Airtable social calendar months in advance during high-energy windows, then coasts during low-energy periods. Her calendar currently runs through June with repurposed podcast content.

3. ChatGPT projects trained on your framework cut outline time from 2 hours to 20 minutes - She uploaded her Mindful Marketing framework transcripts, audience personas, offer positioning, and email voice into a single ChatGPT project she uses for every episode.

4. Your AI inputs need to be as long as your expected outputs - Her client's sales page read like generic ChatGPT because the prompt didn't include audience personas, objection handling, or awareness levels. Context engineering is the differentiator.

5. Closed-loop AI experiences beat open web for brand marketing - Uncommon Marketing Agency builds interactive web games that surface only the brand's curated content, avoiding the noise and dated information that LLMs pull from the open internet.

• OnlineDrea - Andréa's personal brand: courses, podcast, and the Do Less Market Better Kit (free course)
• Uncommon Marketing Agency - Gamified and interactive AI-powered marketing experiences
• Mindful Marketing Podcast - 400 episodes on anti-burnout marketing strategies
• Cast Magic - AI podcast repurposing tool (generates 20+ content pieces per episode)
• Riverside - Podcast recording and transcript-based editing

Key TakeawaysLearn More

Mason Yu is a growth professional with extensive experience in SaaS, the creator economy, and music, who loves to build products and businesses. He works on the SEO Product at ClickUp, and is pursuing his MBA/CS at Chicago Booth School of Business focused on product management, marketing strategy, and computer science.

Find Mason on Linked In

Highlights from the conversation: 

02:49: Exploring Programmatic SEO

07:31: Programmatic SEO Strategies

11:24: Overcoming challenges with Programmatic SEO

20:17: Mason's Favorite use Cases of AI in Marketing

24:46: AI Tools and Resources for Marketers

Bernard Huang is the Co-Founder at Clearscope.

Clearscope helps thousands of content teams from businesses like Adobe, Shopify, Condé Nast, Nvidia, Deloitte, Intuit, and HubSpot drive more search traffic.

Clearscope is a small, bootstrapped team that's built a best-in-class product that is already doing millions in revenue as a leading tool for SEO and content marketers. 

Find Bernard online: 

Bernard on Linked In

Bernard on X

HIGHLIGHTS: 

01:45 - Bernard explains how ClearScope helps optimize content for search engines by identifying important keywords and entities.

08:20 - He discusses how AI content often just summarizes what Google already knows, so doesn't add value. But human-directed prompting can make AI content more unique.

13:40 - Examples of how Bernard uses AI assistants like ChatGPT for quick drafts, templates, and brainstorming ideas.

21:00 - Tips for crafting AI prompts to create high-quality content, like giving the AI a specific blogger persona and intent.

31:20 - Bernard explains how AI is making people distrust written content, so brands should focus more on quality over quantity

Show Highlights

Here are timestamped key points from the podcast conversation:

00:06:44 - Favorite AI Tool is Anthropic Claude

00:07:51 - Why Scribe + Loom is invaluable for Nils

00:08:32 - How to use Idea Density in prompts

00:09:55 - Favorite AI Use Case is writing educational emails

00:10:12 - Best Resource is the AI Solopreneur newsletter

00:13:44 - Future of AI is embracing change management in businesses

00:16:33 - Nils advice for getting into AI as a marketer

About Nils Liedlich:

Nils Liedlich, the visionary Co-Founder behind Letter Leverage, is a trailblazer in the world of AI brand development. With a remarkable talent for crafting captivating newsletters and email courses, he empowers AI brands to not just survive but thrive in today's competitive digital landscape.

By capitalizing on the power of educational emails, Nils assists AI brands in unlocking the full potential of their existing web traffic, transforming it into a stream of valuable leads. In just the past four months, Nils's ingenuity and expertise have contributed to generating multiple six figures 

Nils on LinkedIn

Nils on X

Here are timestamped key points from the podcast conversation:

00:04:12 - Favorite AI Tool: Claude

00:05:34 - Best Automation: Generative coding, creates applications 17x faster

00:07:01 - Favorite Prompts: Ideas for creative marketing campaigns

00:09:22 - Resource to Learn AI: Iterate.ai platform and training

00:12:01 - AI Marketing Challenges: Adoption and integration

00:14:44 - AI Marketing Solutions: Start small, focus on mindset

00:16:29 - Future of AI: Rapid acceleration across industries

00:19:11 - Advice for Aspiring AI Marketers: Mix marketing and tech skills

About Jon Nordmark: 

Jon Nordmark is co-founder and CEO of Iterate.ai, a low code enterprise AI company with brands like ULTA Beauty, Circle K, and Maaco among its client list.

Prior to Iterate.ai, Jon spent a decade as the CEO of eBags.com, guiding it to over $100 million in annual revenues and the ultimate sale to Samsonite. eBags was known for groundbreaking innovations in the retail and direct-to-consumer sectors, setting trends like dropshipping from third-party warehouses, negative cash conversion cycles, and A/B split testing.

At Iterate.ai, Jon is rapidly innovating in the AI space with Iterate.ai, powering low code software for large enterprises. 

Links: 

www.iterate.ai

Jon on Linked In

Shanif Dhanani, Founder of Locusive, is an AI, Software, and ChatGPT Consultant. He’s a serial entrepreneur with over 10 years of experience in AI, data science, and software development. He helps businesses make better use of their data (especially with large language models) with custom software and machine learning.

Links Mentioned: 

• Shanif Dhanani on Linked In
• Locusive

Timestamps

00:04:23 - Favorite AI Use Case: Long-form content creation

00:06:12 - Favorite AI Tool: Claude for SEO articles

00:09:34 - Best Automation: TLDV for meeting transcripts

00:11:56 - Favorite Prompts: Outlines for long-form articles

00:13:45 - Resource for Learning: Your content and newsletters

00:18:23 - Challenges in AI Marketing: Conceptualizing use cases

00:21:34 - Future of AI in Marketing: More advanced content generation

00:26:01 - Advice for AI Marketers: Automate time-intensive tasks

Conversation Highlights: 

1. Favorite AI Use Case: Shanif mentions using AI for content generation, particularly for creating high-quality long-form articles. He also discusses using AI for social media content and video generation.

2. Favorite AI Tool These Days: Shanif mentions several AI tools he uses, including CoPilot for code writing, ChatGPT for generating SEO-optimized articles, TLDV for recording and transcribing meetings, and Vocal Video for video editing with AI.

3. Best Automation You Can't Live Without: Shanif emphasizes the importance of automating tasks that take up a lot of time. He specifically mentions automating content generation using AI tools like ChatGPT.

4. Favorite Prompts: Shanif discusses using prompts for generating content and outlines for long-form articles. He also mentions using prompts to query AI for information retrieval and search within his data.

5. Best Specific Resource for Learning: Shanif mentions learning from marketers who are advanced in using AI for marketing, like Chase Diamond and Justin Walsh. He also suggests learning by using AI tools to solve specific problems and tasks.

6. Challenges and Solutions in AI Marketing: Shanif mentions that some challenges marketers face include conceptualizing where AI can help and generating high-quality long-form content. He suggests starting with specific tasks that AI can automate and experimenting with AI for different channels.

7. Future of AI in Marketing: Shanif acknowledges the increasing interest in AI adoption across various marketing fields, highlighting its current applications in content generation, SEO optimization, and automation, and anticipates its ongoing evolution as marketers discover novel ways to employ AI for personalization, engagement, and efficiency.

8. Advice for Aspiring AI Marketers: Shanif advises aspiring AI marketers to learn the fundamentals of marketing first. Then, identify the channels they want to invest in and figure out how AI can automate efforts in those channels.

Six to nine targeted bottom-of-funnel pages will outperform 50 top-of-funnel blog posts for pipeline - and Lashay Lewis has the client data to prove it.

Lashay breaks down the exact four-element framework she uses to build bottom-of-funnel content: pain points, features, benefits, and capabilities - stacked like Legos in a specific order. Pain leads because high-intent buyers need to connect immediately. Features follow because they solve the pain directly. Capabilities prove the features actually work.

She walks through live examples from clients like Teal and Conveyor, showing how she reverse-engineers sales call transcripts to extract the exact language buyers use - then maps that language to contextual AI search queries. The distinction matters: Google search is keyword-based ("best resume builder"), but AI search is context-based and persona-driven ("I'm a job seeker struggling to show impact across multiple resumes").

Lashay explains why she's skeptical of prompt volume tracking tools - if queries are essentially one-of-one, traditional volume metrics break down. Instead, she expands surface area by mapping synonyms and predicting before/after queries around a core topic.

She also shares her three-year founder journey from consultancy to failed product pivot and back again - including how muddied positioning nearly killed her business before BOFU.ai found its footing.

1. Pain points must lead every bottom-of-funnel page - High-intent buyers need to feel understood in the first few seconds. Leading with product history or "what is" definitions is a top-of-funnel mistake that kills conversion on BOFU pages. Lashay sees 8-minute read times on articles that lead with pain.

2. AI search is context-based, not keyword-based - Someone typing into ChatGPT writes a paragraph about their situation, not three keywords. Your content needs to match that contextual query by including persona, category, pain points, and capabilities - not just keyword-stuffed headers.

3. Sales call transcripts are the most underused content asset in SaaS - Your buyers' language is not your internal language. The gap between how your company describes itself and how the market talks about the problem is where positioning breaks. Sales calls close that gap.

4. Your competitors' pages about you shape your AI search presence - Lashay shows how Perplexity pulled a competitor's two-out-of-five rating of Teal into a citation. What you have public-facing matters because AI pulls from competitor alternative pages to describe you.

5. Prompt volume tracking is likely broken - If AI search queries are essentially one-of-one natural language strings, traditional search volume metrics don't apply. Expand surface area by topic, not by keyword. Map synonyms and before/after queries around a core topic instead.

• BOFU.ai - B2B SaaS content marketing consultancy focused on bottom-of-funnel content and attributable pipeline
• Built from the Bottom (Substack) - Lashay's deep dives on content strategy, AI search, and building in public
• Teal - Resume builder used as a live case study for the BOFU framework
• Conveyor - Security questionnaire automation platform, client example for AI search results
• Perplexity - AI search engine referenced for competitor citation behavior
• Fletch (Anthony Perry), Rob Kaminsky - Product marketers whose homepage positioning frameworks inspired Lashay's content approach

SuperMarketers: Build your AI search visibility system at https://supermarketers.ai

Connect with Gen: Follow for weekly breakdowns on AI visibility and content systems -> https://www.linkedin.com/in/genfurukawa

Connect with Lashay Lewis: Follow her for deep dives on bottom-of-funnel content and AI search strategy -> https://www.linkedin.com/in/lashaylewis

Key TakeawaysLearn MoreCTAs

Steve Toth has spent 15 years in SEO and now runs one of the sharpest AEO/GEO consultancies in B2B. His core argument: stop tracking where your brand ranks in LLM responses. Start measuring whether LLMs represent you accurately.

His Trust Alignment Framework scores how well ChatGPT, Perplexity, and Gemini answer questions about your product across six pillars - vertical, company size, comparisons, pricing, integrations, and features. The gap between your "sales-grade answer" and the LLM's answer is your visibility problem.

Steve walks through live demos showing how ChatGPT Deep Research and Perplexity surface follow-up refinements - and how collecting those refinements across 5-8 runs reveals which deal-breaker topics matter most in your category. He also shares a Claude project that clusters Google Search Console keywords by intent, giving B2B teams a proxy for LLM search demand when no reliable prompt volume data exists.

The conversation covers how each model cites differently - ChatGPT prefers general pages, Google AI Mode pulls specific passages from case studies and UGC - and why passage-level optimization matters more than page-level. Steve closes with his Spellbook case study: 90% non-branded organic traffic growth by targeting emerging keywords in the legal AI space and capitalizing on competitor sentiment gaps.

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Key Takeaways

1. LLM leads convert 4-5x higher than Google traffic - ChatGPT referral visitors spend 4-5x more time on site and convert at 4-5x the rate. These buyers arrive pre-educated with specific deal-breakers already defined. Your sales team closes them faster.

2. Stop tracking brand mentions in LLMs - measure representation accuracy instead - The Trust Alignment Framework compares your ideal sales answer against what the LLM actually says across six pillars (vertical, company size, comparisons, pricing, integrations, features). The delta is your real visibility gap.

3. LLM prompt volume tools are unreliable - use intent clustering as a proxy - Every word added to a prompt makes it less likely to be searched twice. Steve built a Claude project that clusters Google keyword data by intent and aggregates volume across the entire cluster, giving directional demand signals for AEO prioritization.

4. Each AI model cites sources differently - ChatGPT favors first-party "ultimate guide" pages. Google AI Mode pulls specific passages from case studies and UGC. Claude uses the Brave search index. Optimizing for one model does not guarantee visibility in others.

5. Passage-level optimization beats page-level for AI Mode - Google AI Mode uses a passage ranking index, not a page ranking index. It looks for 100-300 token excerpts that support its reasoning chain. You can pepper relevant content across case studies, homepages, and comparison pages rather than building one monolithic page per topic.

Learn More

- SEO Notebook - https://seonotebook.com - Steve's weekly SEO newsletter, running since 2019

- AI Notebook - https://ainotebook.com - Weekly newsletter focused on AEO/GEO strategies

Connect with Gen:

- www.supermarketers.ai

- www.linkedin.com/in/genfurukawa

I am creating an AI-run company that operates without a single employee. This is what it actually looks like inside.Sam Altman predicted the billion-dollar one-person company. Nat Eliason built Felix Craft. I wanted to test whether it was real -- so I built vibemarketers.ai: an AI marketing tools directory run entirely by an AI agent named Viv.Viv operates autonomously through OpenClaw. She communicates via Telegram. I spend 30 minutes a week reviewing her output. That's it.In this video I break down:- What Viv actually does (and what she can't do yet)- How the system is structured for autonomous operation- Why I built content for LLMs, not just search engines- What this means for the future of solo founder companiesResources:vibemarketers.ai: https://vibemarketers.aiSuperMarketers: https://supermarketers.aiConnect:LinkedIn: https://linkedin.com/in/genfurukawa#ZeroEmployeeCompany #AIAgents #FutureOfWork===============================Who am I, and why should you listen to me?I’m Gen Furukawa — founder, operator, and marketing systems builder. I’ve built and sold a SaaS company, led marketing at a high-growth startup, and now help B2B SaaS teams scale content and demand with automation, AI, and strategy.At SuperMarketers, we don’t just give you content - we create powerful inbound growth engines that generate qualified leads without hiring too many people. I’ll share the exact strategies, processes, and automated systems we use with clients to help you turn your ideas into action, faster.Turn Your Team into a LinkedIn Growth Engine. Learn more: https://supermarketers.ai

Derek Iwasiuk, co-founder of SearchTides, breaks down his 5-layer "AI Search Undercurrent" framework for getting brands recommended by ChatGPT, Google AI Mode, and Perplexity. We dig into how he tracks 500+ prompts per client, why fan-out queries are the new keyword research, and the free tactics any founder can use today to boost their AI visibility, from Reddit AMAs to $80 press releases.Derek has 18 years of SEO experience and now runs operations and strategy at Search Tides, an AI search agency focused on financial services and beyond.Connect with Derek: www.searchtides.com⚡️ Grow 10x Faster with AI-Powered Growth System. No Team, No Agency, No Stress. Go here: https://supermarketers.ai/Follow me 👇https://www.linkedin.com/in/genfurukawa/===============================Who am I, and why should you listen to me?I’m Gen Furukawa — founder, operator, and marketing systems builder. I’ve built and sold a SaaS company, led marketing at a high-growth startup, and now help B2B SaaS teams scale content and demand with automation, AI, and strategy.At SuperMarketers, we don’t just give you content - we create powerful inbound growth engines that generate qualified leads without hiring too many people. I’ll share the exact strategies, processes, and automated systems we use with clients to help you turn your ideas into action, faster.Turn Your Team into a LinkedIn Growth Engine. Learn more: https://supermarketers.ai

AI has changed search. But not in the ways most marketers think.

In this conversation, Ross Hudgens, founder and CEO of Siege Media, shares findings from analyzing 12,000 URLs across B2B and B2C brands. The results challenge a lot of assumptions about AI content, SEO decline, and where visibility is actually shifting.

We dig into why Google is still growing in key categories, why bottom-funnel content is outperforming, and how Siege is using AI to strengthen (not replace) human-driven expertise. Ross breaks down where brands are over-investing, under-investing, and how to think about content when LLMs are rewriting the rules of discovery.

We also unpack:

• Why “what is” and “how to” content is losing ground
• The rise of comparisons, pricing pages, templates, and calculators
• How Siege uses automation for keyword research and LLM visibility
• A practical way to track your brand inside AI search results
• Data journalism as a defensible moat in a commoditized content world
• Why LinkedIn is becoming the new open web
• How to refresh existing content with AI-assisted frameworks
• What every B2B marketer should prioritize heading into 2026

If you care about visibility in an era where AI engines decide what gets seen, this episode offers a clear blueprint for what actually works today.

00:00 Introduction and Guest Welcome

00:40 AI's Impact on SEO and Content

02:28 Effective Content Strategies in the AI Era

04:42 Incorporating AI in Content Creation

06:35 Keyword Research and LLM Visibility

09:36 Data Journalism as a Defensible Moat

13:02 Social Media's Role in Content Strategy

16:31 Content Refresh and Update Strategies

19:39 Closing Thoughts and Contact Information