Answer engine optimization (AEO): what it is and how to do it

Answer engine optimization (AEO) is the practice of increasing how often, how prominently and how accurately AI assistants such as ChatGPT, Perplexity, Claude, Gemini and Copilot mention and recommend your brand. Where SEO competes for a ranking and GEO competes for a citation inside search, AEO competes for a place on the shortlist an assistant gives when someone asks for a recommendation.

Why AEO matters now

Assistants have become a research tool for buyers. When a founder asks "which SEO agency should a SaaS startup hire", the assistant names a few options and explains why. If you are not among them, you are not considered. Unlike a search result, there is no page two.

SEO, GEO and AEO compared

	SEO	GEO	AEO
Surface	Ranked results	AI Overviews, AI Mode	ChatGPT, Perplexity, Claude, Gemini, Copilot
Win condition	Position	Citation	Mention or recommendation
Primary lever	Relevance and links	Citable passages and entity clarity	Independent validation and consistent entity information
Metric	Rankings, clicks	Citation share	Share of model

The three share most of their inputs. Treat them as one programme with three scoreboards.

The signals answer engines use

Training knowledge

What the model learned about your category and brand during training: reviews, articles, documentation, forums and news over several years. Breadth and consistency matter more than any single page.

Live retrieval

Most assistants now search the web before answering commercial questions. The pages they read are the ones that rank, especially comparisons, reviews and "best of" lists.

Entity clarity

Whether the model can connect your name, your site, your products and your claims into one coherent entity. Structured data, consistent descriptions and official profiles feed this.

Independent validation

Third parties saying you are a credible choice: review platforms, publications, communities, partners. Assistants weight these above self-description.

An AEO framework

1. Prompt research

Collect the questions buyers actually ask, from sales conversations, support and search data. Group them by stage: discovery, comparison, recommendation, validation.

2. Benchmark

Run the prompt set across each assistant monthly. Record mentions, position, accuracy and cited sources. Establish your share of model and your competitors'.

3. Fix the entity

Publish a clear, consistent description of what you do and for whom. Add Organization, Service or Product, and Person schema. Align social profiles, directories and press boilerplates.

4. Close citation gaps

For each prompt where competitors are cited and you are not, identify the source type the assistant used and create or earn an equivalent: a comparison page, a review presence, a publication feature, a community answer.

5. Make your site retrievable

Allow the assistants' crawlers, publish llms.txt, keep key content in HTML and rank for the underlying keywords. This is where technical SEO and AEO meet.

6. Correct inaccuracies

Trace wrong claims to their sources and fix them. Outdated pricing pages and stale third-party listings are the usual culprits.

7. Report and iterate

Report share of model, recommendation rate and accuracy next to pipeline. Re-prioritise monthly.

What good looks like: a worked example

A mid-market payroll software company ran a fifty-prompt benchmark and found it was named in 12 percent of answers, while two competitors were named in over 60 percent. The gap traced to three source types the assistants relied on: two "best payroll software" listicles on industry sites, a review platform where the company had eleven reviews against competitors' several hundred, and a comparison page on each competitor's site that mentioned the company inaccurately.

Over two quarters the team earned inclusion in both listicles through a data study on payroll error rates, ran a compliant review programme that took them past 200 reviews, and published honest comparison pages of their own. Share of model rose to 48 percent, and the assistants' description of the product changed from "a basic tool for very small teams" to an accurate summary of its mid-market positioning. Assisted pipeline from organic channels grew the following quarter. None of the work was exotic; it was the ordinary work of building evidence, aimed with a benchmark.

Common AEO mistakes

• Optimising one page and waiting. Assistants weigh a body of evidence; a single page rarely changes an answer.
• Ignoring accuracy. Being named with the wrong price or the wrong audience can cost more than not being named.
• Measuring once. Answers vary run to run; only a repeated, fixed prompt set shows the trend.
• Treating it as PR alone. Coverage without retrievable, well-ranked pages leaves live search with nothing to read.

How AEO fits your team

Content owns comparison and validation pages. PR and partnerships own independent coverage. Product marketing owns the entity description. SEO owns retrievability and measurement. When these sit in one programme with one scoreboard, progress compounds. That is the model behind our AEO service, and the reason it sits alongside AI SEO rather than apart from it.

Not sure where you stand? Run our free AI Visibility Checker for five prompts, or request a free audit for a full benchmark.

Frequently asked questions

What is the difference between AEO and SEO?

SEO optimises pages to rank in search results. AEO optimises your brand and content to be mentioned, cited and recommended inside AI-generated answers from conversational assistants.

What is the difference between AEO and GEO?

GEO targets generative features inside search engines such as Google AI Overviews. AEO targets standalone assistants such as ChatGPT and Perplexity. The techniques overlap heavily.

Does AEO replace SEO?

No. Answer engines retrieve from search results and learn from well-linked, authoritative pages. Strong SEO is a prerequisite for AEO.