AEO vs GEO: two names for overlapping work

Answer engine optimization was used for years to describe optimizing for featured snippets, People Also Ask boxes, and voice assistants: systems that return one answer rather than a list. Generative engine optimization came into wide use after a 2023 research paper of that name studied how to make content more visible in answers written by large language models.

Today both labels are applied to the same goal: being the source an AI system uses when it answers a question. That is why the search results for this query mix pages arguing they are different with pages arguing they are the same.

The differences are of emphasis, not technique.

Both need pages that search and AI crawlers can fetch and read in static HTML, a clear direct answer near the top, headings that match the questions people ask, accurate and current facts, and a consistent description of your brand across the web. Google states that no special schema or file is required for its AI features; the ordinary SEO foundations apply. If you do that well, you have done most of AEO and most of GEO at once.

If your buyers mostly search Google, start with AEO-shaped work on the pages that already earn impressions: rewrite the opening as a direct answer and restructure sections around the questions in People Also Ask. If your buyers increasingly ask assistants for recommendations, add the GEO layer: verify AI crawler access, fix a prompt set, and work on mentions in the comparison pages and threads those assistants cite.

Audit crawler access and rendering. Rewrite priority pages answer-first. Add sourced tables and an honest statement of limitations. Track Search Console impressions for question queries alongside citations for 30 to 50 prompts run several times per engine. Revisit monthly. SerionFlow is the wrong tool if your gap is off-site mentions or PR; it builds pages on your domain and does not place you on other sites.