Search Engine Optimization
- Optimizes for ranking position
- Measured in rankings and clicks
- One page answers one query
Resources
Answer Engine Optimization (AEO)
Answer engine optimization is the practice of building content, structure and authority so AI assistants like ChatGPT, Perplexity, Gemini and Claude cite your business when they answer a question. It runs alongside SEO rather than replacing it, aimed at being quoted inside an answer instead of only ranked on a results page.
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Definitions
How Does Answer Engine Optimization Differ From SEO?
SEO earns a position on a search results page. Answer engine optimization earns a place inside the answer an AI assistant gives, whether or not the person ever clicks through. Both draw on the same foundations - clear content, sound technical structure and real authority - so treating them as separate disciplines wastes the overlap.
Answer Engine Optimization
- Optimizes for being the cited source
- Measured in citations and mentions
- One answer can cite several sources at once
Generative engine optimization (GEO), AI SEO and LLM optimization all describe close variations of the same practice. The terminology is still settling; the underlying work - clear, structured, well-sourced content - does not change much between them.
Measurement
How Do We Measure Answer Engine Optimization?
We check whether you are cited by running the questions that matter to your business through four AI engines every month, and record who gets cited and how that changes over time. Every priority page is also scored against our AI readability scorecard, which looks at how easily an engine can parse, trust and quote it - part of how we run every engagement, covered on how we work.
ChatGPT
The largest consumer AI assistant, and the one most buyers open first when they have a question.
Perplexity
Built as an answer engine from the ground up, with sources shown openly on every response.
Gemini
Google's assistant, and increasingly surfaced directly inside standard search results.
Claude
Anthropic's assistant, growing fast inside research and technical buying workflows.
Scope
What Does an Answer Engine Optimization Engagement Cover?
An AEO engagement runs on four pillars: content, technical structure, authority and measurement - the same four we track across every AI engine each month. Delivery runs through our search & AI visibility program.
Content
Question-led pages that answer what buyers actually type in the first sentences, then get refreshed on a set cycle so answers stay current.
Technical
Schema markup, clean semantic structure and a machine-readable site, so engines can parse and trust what they find.
Authority
Bylines tied to real author entities, plus a citation plan that earns mentions on the sites engines already trust.
Measurement
Monthly citation checks across four AI engines, rankings and AI-referred sessions, landing together in one report.
Coverage
Which AI Engines Does Answer Engine Optimization Cover?
ChatGPT, Perplexity, Gemini and Claude. Those four cover the assistants B2B buyers actually open, and they have to be measured together because they disagree with each other constantly.
The chart is one client's August run: the same fourteen questions, asked three times of each engine in the same week. Perplexity cited them in 42.9% of its answers. ChatGPT cited them in 19.0%. Nothing about the client changed between those two numbers.
A tool that watches one engine would have called that client a leader or a laggard depending purely on which engine it happened to watch.
Perplexity
Claude
Gemini
ChatGPTEvidence
What Actually Earns a Citation?
Writing changes, not technical ones. The most-cited controlled study on this tested a range of edits and found that adding quotations, statistics and sources lifted citation rates the most, while keyword stuffing was the only change that made things worse.
Every winner on that list is something a writer does. None of them is a markup change, and the study did not test schema at all.
Which is why an AEO engagement that opens with structured data is selling you the cheap half of the work.
Definitions
What Is the Difference Between a Citation and a Mention?
A mention is the engine naming you in the text. A citation is the engine using your own domain as a source. They are not the same thing and they should never be reported as one number.
Mention
The engine names your company while answering. It shapes what the reader believes before any click happens, and it can come from training data rather than from your site at all, which means you can be mentioned for something you no longer do.
Citation
The engine uses your page as a source, usually with a link. It is harder to earn, it can send traffic, and it means the engine treated your page as evidence for its answer. This is the number an AEO engagement should be judged on.
A brand can score well on one and badly on the other, so a tool that reports only one is hiding half the picture.
Fit
Who Is Answer Engine Optimization For?
It pays for
- Considered purchases with a long research cycle, where the buyer asks several questions before ever visiting a website
- Companies that already publish, so there is something for an engine to quote
- Categories where a buyer asks "what is the best X for Y" and expects a shortlist back
- Businesses whose competitors are already being named in those answers
It does not pay for
- Sites of ten pages with no publishing cadence. The content has to exist first, and that is a different engagement
- Impulse purchases, where nobody researches before buying
- Anyone expecting movement in weeks. Engines re-index on their own schedule and nobody controls it
- Teams that will not agree a baseline, because without one no result can be shown afterwards
Common QuestionsFrequently Asked
Frequently Asked
Questions
Answer engine optimization (AEO) is the practice of building content, structure and authority so AI assistants cite your business inside the answer they give, rather than only ranking a page on a results page. It runs alongside SEO, not instead of it.
They describe the same practice under different names. Generative engine optimization (GEO) and AI SEO are both used for the same underlying work: building content and structure so AI assistants cite you. We use "answer engine optimization" because it best matches what buyers search for and what the work actually optimizes for - being the answer.
No. Search engines and AI assistants are two different discovery surfaces buyers use, and both send meaningful traffic. We run AEO and SEO as one connected program rather than one replacing the other, because the same technical and content foundations feed both.
It starts with the questions your buyers actually ask, then builds pages, schema and authority signals around answering them clearly and quickly. We track the result every month by checking whether you are actually cited across ChatGPT, Perplexity, Gemini and Claude, and adjust the plan based on what we find.
A mention is the engine naming your company in the text of an answer. A citation is the engine using your own domain as a source for that answer, usually with a link. Citations are the harder test and the more valuable one, because they send traffic and they signal that the engine treated your page as evidence rather than as recalled trivia. We report both and we do not blur them together.
First movement usually appears in the second or third monthly measurement. Engines re-crawl and re-index on their own schedule, and none of them publishes it, so anyone quoting a number of weeks is describing something they do not control. What can be promised is the measurement cadence: a baseline before any work starts, then the same questions re-run every month.
ChatGPT, Perplexity, Gemini and Claude cover the assistants B2B buyers actually use. Tracking one is close to useless, because they disagree constantly: in a recent client run the same fourteen questions produced a citation rate of 42.9% on Perplexity and 19.0% on ChatGPT in the same week. A single-engine tool would have called that client a leader or a laggard depending only on which engine it happened to watch.
Not as directly as it is usually sold. No search vendor has stated that its AI reads FAQ markup, the crawler documentation for OpenAI, Anthropic and Perplexity does not mention schema.org, and the most-cited controlled study on AI citations tested content changes rather than markup. Keep structured data because it still earns rich results in ordinary search. Do not buy it as the AI play.
The content work, yes, if someone owns it: question-led headings, an answer in the first two sentences, short liftable passages and a source behind every figure. The part teams usually cannot sustain is the measurement, because it means asking four engines the same set of questions repeatedly, recording who was cited, and doing it on the same cadence for long enough to see a trend rather than noise.
Businesses whose buyers research before they buy, and who already publish something worth citing. If a site has ten pages and no publishing cadence, the content has to exist before an engine can quote it, and that is a content engagement rather than an AEO one. Considered purchases with long research cycles get the most from it.