Definition
Answer Engine Optimization (AEO) is the discipline of optimizing content so that AI answer engines — ChatGPT, Perplexity, Google AI Mode — surface the brand directly in answers, with or without an underlying ranking page.
In Depth
AEO and GEO are often used interchangeably; AEO emphasizes the answer surface (what shows up in the AI's response) while GEO emphasizes the generative engine itself. Practical AEO work in 2026 looks like: question-shaped headings that match how users actually ask AI assistants, clear two-line definitional answers near the top of pages, structured FAQ schema that LLMs can lift, and a presence on the platforms AI engines cite (Reddit threads, YouTube transcripts, Wikipedia, GitHub READMEs). Tracking AEO is what AI search visibility tools do; many SaaS founders pair an Otterly or Peec dashboard with a Scavio-driven daily citation script.
Example Usage
The SaaS founder ran weekly AEO snapshots against a 30-keyword grid and watched the brand's AI Overview citation share grow as Reddit AMAs and llms.txt updates compounded.
Platforms
Answer Engine Optimization (AEO) is relevant across the following platforms, all accessible through Scavio's unified API:
Related Terms
GEO (Generative Engine Optimization)
GEO (Generative Engine Optimization) is the 2026 discipline of optimizing content, structured data, and third-party ment...
AI Search Visibility
AI search visibility is the measurable presence of a brand, domain, or page in answers generated by AI search engines — ...
Answer Engine Citation Share
Answer engine citation share is the percentage of responses to a defined prompt set, run against answer engines like Cha...