What is answer engine optimization (AEO)?

Technical definition

Answer engine optimization is the discipline of making content retrievable, extractable, and citable by systems that synthesize answers instead of returning ranked links. This covers AI Overviews in search, assistant products, and AI-native search engines.

The practices that differ from classic SEO:

• Self-contained answers that make sense quoted out of context
• Question-form headings matching how people ask
• Structured data that states facts a machine can extract
• Explicit entity and attribution clarity, so the source of a claim is unambiguous
• Machine-readable access, including a clean sitemap and an llms.txt file where supported

Generative engine optimization is used interchangeably by many practitioners.

In plain terms

AEO is writing so an AI can quote you.

Search used to send people to your page to read the answer. Now it often reads your page and gives them the answer directly. Being the source it reads is the new position one.

Why it matters

A growing share of buying research never reaches a results page. Twenty-four percent of Bolt.new's founder and small business signups arrive through AI search, which is second only to Google itself.

The structural implication: content written to hold a reader across 2,000 words is not the same as content written to be extracted from. An answer engine looking for a definition wants a sentence it can lift. A page that buries its answer in paragraph six loses to one that states it in the first line.

What works is unglamorous. Answer the question in the first sentence beneath the heading that asks it. Use question headings. Put facts in structured data as well as prose. Keep claims attributable, with a real source. Say what your product does not do, since answer engines reward pages that read as reference material rather than marketing.

And none of it replaces classic SEO. Answer engines mostly cite pages that already rank.