SuperMarketers.ai: Your Roadmap to AI-Driven Marketing

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.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.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.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.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.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 pipelineBuilt from the Bottom (Substack) - Lashay's deep dives on content strategy, AI search, and building in publicTeal - Resume builder used as a live case study for the BOFU frameworkConveyor - Security questionnaire automation platform, client example for AI search resultsPerplexity - AI search engine referenced for competitor citation behaviorFletch (Anthony Perry), Rob Kaminsky - Product marketers whose homepage positioning frameworks inspired Lashay's content approachSuperMarketers: Build your AI search visibility system at https://supermarketers.aiConnect with Gen: Follow for weekly breakdowns on AI visibility and content systems -> https://www.linkedin.com/in/genfurukawaConnect with Lashay Lewis: Follow her for deep dives on bottom-of-funnel content and AI search strategy -> https://www.linkedin.com/in/lashaylewisKey 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.--- Key Takeaways1. 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 strategiesConnect 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 2026If 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 Welcome00:40 AI's Impact on SEO and Content02:28 Effective Content Strategies in the AI Era04:42 Incorporating AI in Content Creation06:35 Keyword Research and LLM Visibility09:36 Data Journalism as a Defensible Moat13:02 Social Media's Role in Content Strategy16:31 Content Refresh and Update Strategies19:39 Closing Thoughts and Contact Information