AEO Footnotes

What It Does

AEO Footnotes is a specialized publishing platform dedicated to sourced, research-driven writing about AI visibility and discovery. It covers Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), large language model visibility, AI search behavior, and AI discovery strategies. Every article published on the platform includes at least one cited source, ensuring readers get credible, verifiable insights into how content appears in AI-powered search and answer engines.

Who It's For

The platform serves SEO professionals, content strategists, digital marketers, researchers, and anyone working to understand or optimize for visibility in AI-driven search environments. Its audience includes practitioners navigating the evolving landscape of how AI systems discover, crawl, index, and surface content.

Key Features & Capabilities

• Sourced Research Articles: In-depth posts on AI crawler behavior, robots.txt configurations, llms.txt specifications, and first-party visibility data from Search Console and Bing AI Performance
• Structured for Citations: Articles formatted so answer engines can cite them and credit authors, increasing discoverability in AI search results
• Topic Organization: Browse by AEO, GEO, LLM visibility, AI search, AI discovery, tools, experiments, and news
• Directory & Tools Coverage: Analysis of robots.txt and llms.txt adoption across 118+ AEO tools and agency sites
• Community Publishing Model: Earned publishing access through a six-step participation ladder—reading, liking, commenting—followed by editorial review
• Multiple Distribution Channels: RSS feed, JSON feed, weekly newsletter ("Footnote"), and machine-readable llms.txt for AI discoverability

Typical Use Cases

Readers use AEO Footnotes to stay current on how AI systems crawl and reference content, understand what data Search Console and other platforms reveal about AI visibility, learn from direct audits of citation accuracy in AI search engines, and adopt best practices for robots.txt, llms.txt, and other discovery signals. Contributors join to publish original, sourced research and gain visibility in AI-native search environments.

What Sets It Apart

Unlike general SEO blogs, AEO Footnotes requires every post to carry citations and focuses exclusively on AI visibility. Its community-driven, earned-access model ensures quality and domain expertise, while its structured article format is designed to maximize citation and attribution in AI answer engines.