AEO: the Answer Engine Optimisation playbook for 2026
MMarkage
10 min read
AEOSEOAI

AEO: the Answer Engine Optimisation playbook for 2026

Playbook

AEO: the 2026 Answer Engine Optimisation playbook.

Beyond GEO. How to engineer your content to be *the* answer.

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AEO in one paragraph

Answer Engine Optimisation (AEO) is the practice of structuring content, entities and schema so that AI answer engines — Google AI Overviews, ChatGPT, Perplexity, Gemini, Claude — cite your brand when users ask a question in your category. AEO overlaps with SEO (both reward authoritative, well-structured content) and with GEO (both optimise for generative retrieval) but its specific target is the synthesized answer and its source list. If you're not in that list, you're invisible to the fastest-growing slice of search.

Why AEO matters now

Search is splitting in three. Traditional SERPs are still the majority, but shrinking. Generative answers inside search (Google AI Overviews) are the fastest-growing slice, already surfacing on 30%+ of informational queries in English markets. And the pure-play answer engines (ChatGPT, Perplexity, Gemini) are the new front page for research-heavy queries in B2B, finance, healthcare and technology. Brands that win AEO show up across all three; brands that only do SEO are optimising for a shrinking surface area.

The AEO stack, layer by layer

Layer 1 — Entity hygiene. Make sure Wikipedia, Wikidata, Google Knowledge Graph and your schema.org markup all agree on your brand name, description, founding date, HQ, founders and industry. Disagreement confuses LLMs. Layer 2 — Answer-extractable content. Every important page opens with a direct 1–2 sentence answer, followed by supporting detail. LLMs heavily weight the first paragraph when extracting citations. Layer 3 — Structured data. Organization, FAQPage, HowTo, Article, Product, Service, BreadcrumbList schema on every page type. Layer 4 — Citation-worthy assets. Original research, proprietary benchmarks, statistics-led reports. LLMs cite primary sources over rehashed ones by a wide margin. Layer 5 — Third-party signals. Mentions in Reddit, Substack, podcasts, industry Slack communities and editorial press — because citation models weight these heavily.

How to measure AEO

Pick 30–50 high-intent queries in your category. Run each through ChatGPT with browsing, Perplexity, Google AI Overviews and Gemini, weekly. Track three metrics per engine: Is your brand cited? What's your position in the source list? Which competitors are cited more often? Over 90 days, you'll see the effect of your AEO program in citation share-of-voice. Supplement with referral traffic from AI engines (ChatGPT, Perplexity, Gemini now show up in GA4 referrers, though tagging is inconsistent).

AEO FAQs

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Overlapping but distinct. SEO targets SERP rankings. AEO targets citation inside a synthesized answer. They share technical foundations; they diverge on content structure and signal strategy.

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Markage Team · 17 April 202610 min read