Updated
Updated What changed on
- Added Ahrefs' March 2026 study of 863,000 SERPs on how AI Overview citations relate to rankings.
- Added Pew Research's click-through measurement from real browsing data rather than a keyword panel.
What is answer engine optimisation? Honest definition.
The 30-second answer
Answer engine optimisation (AEO) is the practice of getting your content cited inside AI-generated answers - from ChatGPT, Perplexity, Claude, Gemini, AI Overviews and similar. In 2026 it is functionally interchangeable with GEO and LLMO. The term originated around voice search (Alexa, Siri) and expanded to cover AI chatbot citations. Same discipline as GEO; the choice of acronym is mostly about audience.
ChatGPT
Perplexity
Claude
Gemini
AI Overviews
Copilot
What the measurements actually show
of pages cited in Google AI Overviews also rank in the top 10 for that query.
How it was measured: 863,000 keyword SERPs and 4 million AI Overview URLs. Ahrefs measures the top 10 as blocks, counting ads, featured snippets and video packs as separate blocks.
was the same measurement in July 2025, so the overlap between ranking and being cited has roughly halved in eight months.
How it was measured: 1.9 million citations from 1 million AI Overviews. Ahrefs notes it improved its parsing between this study and the 2026 update, so part of the change may be measurement rather than behaviour.
is how often people clicked a search result when an AI summary was present, against when it was not. Roughly half the click rate.
How it was measured: Browsing data from 900 US adults who agreed to share their activity, covering March 2025. US only, one month, and now over a year old. It remains the largest published real-user measurement rather than a keyword-panel estimate.
of visits to a page carrying an AI summary resulted in a click on a source cited inside that summary.
How it was measured: Same 900-person US panel, March 2025. This is the figure that matters most for anyone selling AI citation as a traffic channel.
AEO, GEO, LLMO - which is which
The acronym soup confuses everyone. Here is the practical sorting:
| Term | Origin | Audience that uses it |
|---|---|---|
| AEO | Voice search era (2018-19), expanded for AI chatbots | Traditional SEO leaders, agencies, marketing teams from a search background |
| GEO | November 2023 Princeton academic paper | Younger marketing leaders, SaaS founders, AI-literate teams |
| LLMO | Practitioner coinage, 2024 | Developer-led teams, technical marketing, devrel |
In delivery the work overlaps almost entirely. The same schema work, the same content depth work, the same named-author work. Pick whichever term your audience recognises.
What AEO involves
- FAQ schema. AEO traditionally leans heavily on FAQPage schema because voice and AI answer engines extract from it cleanly.
- Direct-answer paragraphs. One-sentence or two-sentence answers at the top of each section. The shape voice assistants and AI engines pull cleanly.
- Question-led page architecture. Pages structured around the questions buyers actually ask, with each question answered explicitly.
- Conversational query forms. Targeting "how do I", "what is the best", "why does my", "should I" - the queries voice and AI users actually phrase.
- Schema for products, services, organisations. The structural credibility layer.
How AEO and GEO differ in practice
Not much. The honest list of differences in 2026:
- AEO practitioners emphasise FAQ schema and conversational query forms more (legacy of voice search).
- GEO practitioners emphasise citation tracking and Reddit/community presence more (legacy of the academic paper and the SaaS adoption).
- AEO often skips the AI bot access work (robots.txt for GPTBot etc) that GEO foregrounds.
If you are buying a service, ignore the acronym and ask what the deliverable actually includes. The acronym is a tell, not a contract.
AEO vs SEO: when each one applies
SEO targets the ranked list of blue links Google has served for 25 years. AEO targets the direct answer Google AI Overviews, ChatGPT, Perplexity and Claude now serve above (or instead of) those blue links. Two surfaces, two scoring weights, mostly overlapping work.
- Where SEO is still primary: commercial-intent queries (buying a product, comparing vendors, finding a service near you). Click still happens. Rank still matters.
- Where AEO is now primary: definitional queries ("what is X"), how-to queries ("how do I X"), comparison framing queries ("X vs Y") - all of which get a direct AI answer above the SERP. Click rate on these is dropping sharply (Pew 47%, Seer 55%, MailOnline 56% CTR drops on AIO-present queries).
- Where both apply equally: branded queries, navigational queries, transactional product pages. The click and the citation are both available.
For most UK B2B brands in 2026 the right move is to budget AEO and SEO as one programme, weighted 70% shared work and 30% AEO-specific. Splitting them between two consultants double-pays for one job.
How to measure AEO success
SEO measures rank position and organic click. AEO measures three different things:
- Citation frequency. How often your brand appears as a named source inside AI engine answers on your priority queries. Sample weekly with a tool (Profound, AIClicks, Otterly) or manually through ChatGPT/Perplexity browser windows.
- Citation share-of-voice. Your appearances as a percentage of total citations against named competitors on the same queries. Useful for board reporting.
- Query coverage. How many of your priority queries cite you at all (binary present/absent across the priority list).
What to ignore: raw traffic from AI engines in GA4 alone. AI engines often cite without sending a click - your brand mention is the win, not the visit. Use GA4 as a directional secondary metric, not the primary one. Reporting cadence: weekly or fortnightly. Daily creates noise (AI outputs vary per session). Monthly is too slow if you are actively running work.
The honest position
For most UK buyers in 2026 the right answer is: get a senior SEO consultant who has matured into AI search work. The label they use (SEO, AEO, GEO, LLMO) matters less than whether they have actually run citation tracking, set up Google-Extended access, written FAQ-shaped answer blocks and seen citations land. Pick the practitioner, not the acronym.
More on AEO terminology.
Is AEO the same as GEO?
In 2026 the practical answer is yes. AEO emerged from the SEO industry; GEO emerged from academia. Both refer to optimising for cited inclusion in AI-generated answers. Some practitioners draw distinctions but in delivery terms the work is the same.
Which term should I use when briefing internally?
AEO with traditional marketing leaders who came up through SEO. GEO with younger marketing leaders, especially in SaaS, or where AI literacy is high. LLMO if the audience is technical. Use whichever term the buyer recognises - the underlying work is the same.
Did AEO come from voice search?
Partly. AEO as a term was used from around 2018-19 about optimising for Alexa, Siri and Google Assistant voice-answer queries. The current AEO discipline expanded that frame to cover AI chatbot citations. The voice-search origin is why some practitioners still emphasise FAQ schema and conversational query forms.
Do I need to choose between AEO and traditional SEO?
No. AEO is the layer on top of SEO that prepares the site for AI extraction and citation. The foundations (technical SEO, content depth, named author, schema) serve both surfaces.
Is AEO worth a separate budget line?
Usually no. The work folds into an SEO budget. The exception is AI citation tracking tools (Profound, AIClicks, Otterly) which sit on a separate vendor line. Community work (Reddit, vertical forums) sometimes warrants its own line too.
Jason Burns
Independent UK SEO, GEO and AI consultant. 17 years in search. Portfolio includes 3M, BlackRock, Unilever and E.ON. Owner of SEO Moves Ltd since 2014.
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