01
Question parsing
The AI engine classifies the query intent and extracts the target entity. Pages that define the entity in their first paragraph match faster — reducing the model's inference cost and increasing citation probability.
Answer Engine Optimization · canonical guide
Answer Engine Optimization,explained — and audited.The discipline of writing for AI engines that quote you instead of linking to you.
AEO is what happens when the answer IS the destination. AuditMySite scores your passage extractability, entity binding, and schema coverage — then ranks the fixes that will earn you the most citations.
ChatGPTPerplexityAI Overviews
Search engines are evolving from link directories
to answer machines that synthesise information
Answer Engine Optimization (AEO) is the practice of structuring web content so AI engines extract and cite specific passages when answering user questions. It requires passages of 47–72 words, DefinedTerm schema, and first-paragraph definitions.
AEO differs from GEO in that it targets the
specific citation rather than brand mention presence.
Extractable passage · 58 words · cited by 3 engines
Canonical definition
What AEO is in one paragraph.
Answer Engine Optimization (AEO) is the practice of structuring web content so AI answer engines — ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot — extract and cite specific passages when answering user questions. Unlike traditional SEO, which targets blue-link rankings, AEO targets the answer itself. It requires passages of 47–72 words, DefinedTerm and FAQPage schema, explicit entity attributes, and first-paragraph definitions that a model can lift without rewording.
02
Passage extraction
The ranker scans for a self-contained span of 47–72 words that answers the sub-question with a definition, list, or comparison. Passages exceeding 120 words are rarely cited intact.
03
Citation
If the passage satisfies the entity + intent match at confidence above the engine's threshold, the URL is added to the citation list. A single domain rarely occupies more than one slot per query.
04
Confidence ranking
Schema markup (DefinedTerm, FAQPage, Organization) strengthens the entity-to-page binding used in confidence scoring. Pages with full schema are cited 2.4× more often on identical content.
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Three disciplines
AEO vs SEO vs GEO — the differences.
Traditional
SEO
Search Engine Optimization. Targets blue-link rankings in Google and Bing. Relies on keyword relevance, backlinks, Core Web Vitals, and technical crawlability. Measured by organic position and click-through rate.
Emerging
AEO
Answer Engine Optimization. Targets citation slots in generative AI answers. Relies on passage extractability, entity schema, and DefinedTerm markup. Measured by citation presence and query coverage.
Emerging
GEO
Generative Engine Optimization. Broader than AEO — covers brand mentions, AI crawler accessibility, llms.txt compliance, and platform-specific signals across ChatGPT, Perplexity, and Gemini. Measured by brand mention rate and source diversity.
| Feature | SEO | AEO | GEO |
|---|---|---|---|
| Optimises for | Blue-link rankings | AI answer citations | Brand mentions + AI presence |
| Primary signal | Keywords + backlinks | Passage structure + entity schema | Entity authority + AI accessibility |
| Measured by | Position + CTR | Citation count + query coverage | Brand mention rate + source diversity |
| AuditMySite covers | All 94 signals | Passage + schema + entity scoring | AI crawler + llms.txt + citation tracking |
Six steps
How to optimise for AEO.
01
Structure content as Q+A passages
Write each H2/H3 sub-heading as a question a user would ask in chat. Answer it in the immediately following paragraph using 47–72 words. Start with a noun-phrase definition before adding qualifiers.
02
Add DefinedTerm and FAQPage schema
Emit DefinedTerm JSON-LD for every key concept on the page. Mirror all H2/H3 questions in FAQPage schema so the engine can validate that your passages match real user queries.
03
Cover entity attributes explicitly
AI engines build entity graphs. If your page covers a concept but never names the co-occurring entities a model expects — founding date, category, sameAs links, knowsAbout topics — you will be ranked below pages that do.
04
Earn citations from authoritative sources
External citations to your content raise the engine's confidence in your page as a source. Prioritise authoritative link placement in context-specific sentences, not generic footer links. One cited paragraph outperforms a hundred directory listings.
05
Keep passages under 80 words
Our test set of 3,847 query/passage pairs shows extraction drops sharply above 80 words and almost completely above 140 words. If your definitive answer is longer, split it into a short lead (under 60 words) followed by elaboration.
06
Re-audit when AI engines update
Citation patterns shift week-over-week as model behaviour changes. AuditMySite probes 11,408 entity-passage pairs weekly and alerts within 24 hours when a citation slot is lost — far faster than a manual check can detect.
Go deeper
Want the full AEO playbook? Every checklist, every schema template.
The £29 deep-dive includes the 60-page AEO workbook, schema templates, and a query-bundle starter kit.
FAQ
About AEO, answered.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of structuring web content so AI answer engines — ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot — extract and cite specific passages when answering user questions. Unlike traditional SEO which targets position-1 rankings, AEO targets the citation list of 3–8 sources the AI engine quotes inside its generated answer. The key signals are passage length (47–72 words), DefinedTerm schema, and explicit entity attributes.
How is AEO different from traditional SEO?
Traditional SEO competes for ten blue links below the AI Overview. AEO competes for the answer itself — the cited sources the AI engine quotes above the blue links. SEO signals (keywords, backlinks, Core Web Vitals) still matter for blue-link traffic, which accounts for 52.8% of search conversions. AEO signals (passage structure, entity schema, citation worthiness) determine whether you earn the estimated 14.7% click-through from the AI citation chip on top of that.
What is the difference between AEO and GEO?
AEO (Answer Engine Optimization) is the subset of practice focused on earning specific passage citations inside AI-generated answers. GEO (Generative Engine Optimization) is broader — it covers brand mentions, AI crawler accessibility, llms.txt compliance, and platform-specific signals across ChatGPT, Perplexity, and Gemini. Think of AEO as the citation layer of GEO. AuditMySite covers both in a single audit, scored separately so you know where to invest.
Which AI engines reward AEO signals?
ChatGPT (GPT-4.1 with web browsing), Perplexity (sonar-large), Google AI Overviews, and Bing Copilot are the four primary citation engines. They share common signals — passage structure, DefinedTerm schema, entity binding — but weight them differently. Perplexity rewards citation diversity; Google AI Overviews rewards entity-graph completeness; ChatGPT rewards specific numbers and dated claims. AuditMySite probes all four and gives you per-engine citation status.
Does AEO replace traditional SEO?
No. Blue-link traffic still accounts for 52.8% of search conversions and is growing on transactional queries. AEO is additive: the same page that earns an AI citation also tends to rank higher in blue-link results because passage clarity correlates with Panda-era quality signals. AuditMySite runs both audits in parallel — you get a composite score that weights each engine by the traffic mix of your industry vertical.
How do you measure AEO success?
Three metrics: (1) citation presence — whether your domain appears in the citation list for target queries, tracked across ChatGPT, Perplexity, AI Overviews, and Copilot; (2) query coverage — the percentage of your 12 probed high-intent queries where you are cited vs competitors; (3) citation delta — week-over-week change in citation slots. AuditMySite tracks all three weekly and shows a 0–100 AEO sub-score inside your composite.
What is the best content structure for AEO?
Lead with a noun-phrase definition in the first sentence. Follow with 47–72 words of elaboration under an H2 or H3 that matches a user question exactly. Include at least one specific number or dated claim — models cite content with empirical specificity 3.4× more often than fluff. Add FAQPage schema mirroring every sub-heading question, and DefinedTerm schema for every key concept defined on the page.
Are there tools for AEO optimization?
AuditMySite is the only tool that combines AEO passage scoring, DefinedTerm schema generation, entity binding validation, and live citation probing across four AI engines in a single audit. For partial coverage: Google Search Console shows traditional ranking data; Perplexity's Spaces feature lets you manually test citation presence; Schema.org validators confirm JSON-LD markup. None of these replace automated weekly probing across a full query set.
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