Lenny's Podcast: Product | Career | Growth

The ultimate guide to AEO: How to get ChatGPT to recommend your product | Ethan Smith (Graphite)

September 14, 2025

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  • Answer Engine Optimization (AEO) is a significant shift in SEO, focusing on getting content cited and mentioned frequently within LLM answers rather than just ranking first in traditional search results. 
  • Early-stage companies can win quickly in AEO by focusing on citation optimization and answering highly specific long-tail questions, unlike traditional SEO which requires significant domain authority. 
  • The leads generated from LLM traffic are significantly more valuable, with Webflow seeing a 6x conversion rate difference compared to Google search traffic, due to the high intent built through conversational interactions. 
  • Purely AI-generated content does not work and is likely to be penalized by search engines, whereas AI-assisted content is the future of content creation. 
  • The internet is experiencing a concerning trend where AI-generated content is becoming more prevalent than human-generated content, potentially leading to a degradation of information quality. 
  • Optimizing help centers by moving them to subdirectories, improving cross-linking, and creating content for the 'long tail' of niche user questions is crucial for SEO and user support in the age of AI. 

Segments

Defining AEO and GEO
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(00:00:00)
  • Key Takeaway: AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are essentially the same concept, referring to optimizing for visibility within Large Language Model (LLM) answers, with AEO being a more precise term.
  • Summary: The hosts introduce the terms AEO and GEO, clarifying that they refer to the same goal: appearing as an answer within LLMs. The speaker expresses a preference for AEO due to its specificity.
AEO vs. Traditional SEO
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(00:06:03)
  • Key Takeaway: Unlike traditional SEO where a single top ranking often wins, AEO requires being mentioned as many times as possible across various citations because LLMs summarize multiple sources.
  • Summary: The discussion contrasts AEO with traditional SEO, highlighting that simply ranking first in citations isn’t enough for AEO. Instead, frequent mentions across diverse sources are crucial for LLMs to include a brand in their answers.
Value of LLM Traffic
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(00:36:34)
  • Key Takeaway: LLM-driven traffic is significantly more valuable, with Webflow observing a 6x higher conversion rate compared to Google search traffic, likely due to the high intent built through conversational interactions.
  • Summary: The conversation delves into the quality of leads generated by LLMs, presenting data from Webflow that shows a substantial increase in conversion rates for LLM traffic, suggesting a more qualified audience.
Actionable AEO Strategy
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(00:50:11)
  • Key Takeaway: A successful AEO strategy involves identifying target questions, tracking performance across LLM surfaces, creating landing pages that answer follow-up questions, and optimizing off-site citations through channels like YouTube and Reddit.
  • Summary: The hosts outline a step-by-step plan for AEO, covering question research, tracking, on-site content creation, and off-site citation strategies, emphasizing the importance of experimentation and reproducibility.
AI Content Effectiveness Study
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(00:51:38)
  • Key Takeaway: A rigorous study found that 10-12% of content in Google search and ChatGPT is AI-generated, and purely AI-generated content does not perform well, while AI-assisted content does.
  • Summary: The discussion delves into a study analyzing AI-generated content, its prevalence, and its effectiveness. The speaker shares their initial prediction of ‘spam’ upon ChatGPT’s launch and explains their reasoning based on past experiences with scraped content. The study’s methodology, including the use of an AI detector and analysis of both Google search and ChatGPT results, is detailed, concluding that AI-generated content is not effective, but AI-assisted content is the future.
Model Collapse and Derivatives
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(00:56:45)
  • Key Takeaway: Feeding AI derivatives back into models can lead to ‘model collapse,’ resulting in a loss of information diversity and an over-reliance on a single, potentially flawed, opinion.
  • Summary: This segment explores the concept of ‘model collapse’ and the dangers of an infinite loop of AI-generated derivatives. The speaker explains how training models on their own outputs can lead to a shrinking of diverse opinions and a convergence on a single, potentially inaccurate, viewpoint, using the example of ice cream flavors.
Future of LLMs and AEO
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(00:59:01)
  • Key Takeaway: LLMs and search are converging into a single experience, and future opportunities lie in autonomous agents that deeply understand users and make decisions on their behalf.
  • Summary: The conversation shifts to the future evolution of LLMs and search, predicting their convergence. The speaker outlines strategies for companies like OpenAI to avoid perverse incentives, such as preventing AI-generated content spam and focusing on valuable use cases like autonomous agents that can manage tasks based on deep user understanding.
Help Center Optimization for SEO
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(01:00:49)
  • Key Takeaway: Optimizing help centers by moving them to subdirectories, improving internal linking, and creating content for niche ’tail’ questions can significantly boost SEO and user support.
  • Summary: The discussion highlights the importance of help center optimization for SEO, especially in the context of AI-driven queries. Key recommendations include moving help centers from subdomains to subdirectories, enhancing cross-linking between help center pages, and creating content that addresses the ’tail’ of less common but important user questions, potentially by opening up to community contributions.
Lightning Round Recommendations
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(01:03:25)
  • Key Takeaway: Key books for professional development include those on emotional intelligence, persuasion, and measuring the immeasurable, emphasizing the importance of psychology and data in growth and business.
  • Summary: This segment features a rapid-fire Q&A session where the guest shares book recommendations: ‘Emotional Intelligence’ for understanding others, Cialdini’s persuasion books for influencing behavior, and ‘How to Measure Anything’ for tackling complex measurement challenges. The guest also discusses their media preferences (aggressive sports documentaries and climbing documentaries) and favorite products (camera and microphone for video calls).