Lenny's PodcastEthan Smith: How Webflow saw 6x conversion from LLM traffic
In LLM answers the breadth of citations beats classic page rank; Reddit, YouTube, and Dotdash listicles feed the model, and Webflow saw 6x LLM conversion.
At a glance
WHAT IT’S REALLY ABOUT
Mastering AEO: Tactical Playbook For Winning AI Answer Engines
- Ethan Smith, CEO of Graphite, explains how SEO is evolving into Answer Engine Optimization (AEO)—the craft of getting products recommended inside AI tools like ChatGPT, Gemini, Claude, and Perplexity.
- He argues AEO is built on the same foundations as SEO (search + content), but with important differences: LLMs summarize many citations, reward breadth of mentions, and have a much longer “tail” of highly specific questions.
- Smith shares detailed, practical tactics—on-site content, off-site citations (YouTube, Reddit, affiliates), answer tracking, and experimentation—that are already driving meaningful business results, including Webflow seeing 6x higher conversion from LLM traffic vs Google Search.
- He also debunks common myths (e.g., SEO is dead, AI-generated content will win), stresses the danger of pure AI content spam, and highlights emerging opportunities like help-center optimization and early-stage AEO advantages.
IDEAS WORTH REMEMBERING
5 ideasAEO builds on SEO, but the ranking logic in LLMs is citation-based, not position-based.
In Google, ranking #1 often wins the click; in LLMs, the model summarizes across many sources and tends to favor products mentioned most frequently in citations, so breadth of mention across the web becomes crucial.
Early-stage companies can win in AEO much faster than in classic SEO.
Unlike SEO, where domain authority takes years, AEO can surface a brand as soon as it’s cited—via a Reddit thread, YouTube video, or blog mention—allowing new startups to appear in answers almost immediately.
LLM traffic is smaller than search today but dramatically more qualified.
Webflow observed a 6x higher conversion rate from LLM-driven traffic than from Google Search, likely because users arrive after multi-step, high-intent conversations with the model and strongly trust its recommendations.
Reddit, YouTube, and high-authority affiliates are power levers for AEO.
LLMs heavily cite Reddit and major publishers (e.g., Dotdash Meredith brands, TechRadar), and they pull from YouTube/Vimeo; authentic participation on Reddit, focused B2B explainer videos, and paid or earned inclusion in listicles can significantly increase answer mentions.
Systematic question research and answer tracking are the foundation of AEO.
You need to transform high-value search/paid keywords into questions, use answer-tracking tools to monitor how often you appear across LLMs, and run controlled experiments (test vs control question sets) to identify what actually moves your share-of-voice.
WORDS WORTH SAVING
5 quotesAnything can be optimized. You just need to understand the underlying systems and the rules of the game.
— Ethan Smith
Everything that works in SEO works in AEO, but there are additional things beyond SEO that also work in AEO.
— Ethan Smith
Webflow saw a 6X conversion rate difference between LLM traffic and Google Search traffic.
— Ethan Smith
Early stage companies can win. They can win quickly, by getting mentioned as many times as possible by the citations.
— Ethan Smith
There’s more AI-generated content on the internet than human-generated content now—and yet, 100% AI-generated content still doesn’t work in search.
— Ethan Smith
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