AEO vs GEO vs SEO: which one matters for your site?

Three disciplines. One goal: get found. Here is how they differ, where they overlap, and why you need all three in 2026.

SEO, GEO, and AEO all chase the same outcome: your content showing up when someone asks a question. SEO targets classic Google rankings. GEO (generative engine optimization) targets AI-written answers, and AEO (answer engine optimization) targets being quoted as the direct answer. Since Google rolled out AI Overviews in 2024, the three overlap more than they differ, and you need the basics of all of them.

What's the difference between AEO, GEO, and SEO?

SEO

Target channel
Search result page rankings (Google, Bing)
Primary signals
Keywords, backlinks, PageRank, Core Web Vitals
Output
Position 1-10 on a SERP
Success metric
Organic click-through rate, impressions

GEO

Target channel
Generative AI responses and AI search surfaces
Primary signals
llms.txt, content quality, domain authority, citation network
Output
Brand mention or direct citation in AI answer
Success metric
Citation frequency, cited pages, AI visibility signals

AEO

Target channel
Direct answer extraction (featured snippets, AI Overviews)
Primary signals
Clear answers, evidence, descriptive structure, and crawlable pages
Output
Verbatim citation in AI or featured snippet
Success metric
Featured snippet ownership, AI citation frequency

Where do SEO, GEO, and AEO overlap?

All three reward high-quality, authoritative content. Strong domain authority, a healthy backlink profile, and fast page load times benefit SEO, GEO, and AEO equally. The divergence is in the layer above: SEO stops at ranking; GEO adds AI-readable formats (llms.txt); AEO adds answer structure (schema, direct-answer paragraphs). Invest in the foundation first, then layer GEO and AEO on top.

What do Google and the GEO researchers actually say?

The paper that introduced generative engine optimization built a benchmark of real queries specifically because AI visibility wasn't being measured the way search rankings are. Google's own AI features documentation says AI Overviews and AI Mode use the same underlying ranking signals as classic Search, no separate optimization track. AEO's structural half comes from older, boring standards: W3C heading guidance for scannable structure and the schema.org vocabulary for marking up direct answers so machines don't have to guess.

There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.

— Google Search Central documentation, “AI features and your website”

AI Overviews help people get to the gist of a complicated topic or question more quickly, and provide a jumping off point to explore links to learn more.

— Google Search Central documentation, “AI features and your website”

We facilitate systematic evaluation by introducing GEO-bench, a large-scale benchmark of diverse user queries across multiple domains, along with relevant web sources to answer these queries.

— Aggarwal et al., “GEO: Generative Engine Optimization” (arXiv:2311.09735)

What else do people ask about AEO, GEO, and SEO?

GEO (Generative Engine Optimization) is the broad practice of optimizing for any generative AI system. AEO (Answer Engine Optimization) is a subset focused specifically on direct-answer retrieval - the moment an AI picks one source as the definitive answer. All AEO is GEO, but not all GEO is AEO.

Both. SEO remains the foundation because AI systems still depend on crawlable, useful, trusted content. GEO and AEO add the machine-readable, citation-ready layer: clear answers, schema, llms.txt, authority signals, and measurement from sources such as Bing AI visibility data, Perplexity citations, and Search Console.

Not when the work improves the page for people and preserves crawlable, equivalent content. Relevant schema and clear structure can complement SEO. Optional llms.txt files do not change Googlebot indexing, and keyword density is not a target; avoid hidden, duplicated, or crawler-specific content.

SEO: Ahrefs, Semrush, or Moz for backlinks and rank tracking; Google Search Console for indexing data. GEO: geodeck for llms.txt, AI visibility tracking, and schema auditing. AEO: geodeck's schema validator and FAQ page auditor. A unified platform like geodeck handles the GEO and AEO layers automatically.

geodeck focuses on the GEO and AEO layers. It automates llms.txt generation and hosting, validates schema markup, tracks citation and crawl-readiness signals, submits new content through IndexNow, and integrates with Google Search Console for the SEO data layer.

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