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 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

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