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. When a buyer asks an assistant for a shortlist in your category, this is the work that decides whether you are on it.
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Definitions
Answer Engine Optimization Earns a Place Inside the Answer
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. Running them with two vendors pays twice for 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 stays the same between them: clear, structured, well-sourced content. The longer comparison, with what changes and what stays the same, is in AEO vs SEO: what changes for marketing teams. Where each name came from is set out in answer engine optimization vs generative engine optimization.
Measurement
Answer Engine Optimization Is Measured in Citations, Monthly
We run the questions that matter to your business through four AI engines every month, and record who was cited and how that changed. Every priority page is also scored on our AI readability audit, which shows how easily an engine can parse, trust and quote it. Both readings land in one monthly report, so the number you take upward is a measurement. How that runs inside an engagement is 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
An Engagement Runs on Four Pillars
Content, technical structure, authority and measurement. The same four are tracked across every AI engine each month, so what was done and what it produced sit in one report. Delivery runs through our search & AI visibility program.
Content
The questions buyers type, answered in the first sentences of the page and refreshed on a set cycle. Your pages become the passage an engine lifts when it answers.
Technical
Schema, clean semantic structure and a machine-readable site, so nothing on your side stops an engine reading and trusting the page it wants to quote.
Authority
Bylines tied to real author entities and a citation plan on the sites engines already trust, so your name arrives with the evidence an engine needs to use it.
Measurement
Citations across four AI engines, rankings and AI-referred sessions, counted monthly and landing in one report a marketing leader can forward as it is.
Coverage
Four Engines Have to Be Measured Together
ChatGPT, Perplexity, Gemini and Claude. Those four cover the assistants B2B buyers 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
Quotations, Statistics and Sources Earn the Citation
Writing changes earn citations. 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
A Citation and a Mention Are Two Different Numbers
A mention is the engine naming you in the text. A citation is the engine using your own domain as a source. 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
Answer Engine Optimization Pays for Considered Purchases
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, and it decides whether you are on the shortlist a buyer gets back when they ask an assistant for one.
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 matches what buyers search for and what the work optimizes for, which is being the answer.
No. Search engines and AI assistants are two different discovery surfaces buyers use, and both send traffic that converts. We run AEO and SEO as one connected program, because the same technical and content foundations feed both, and paying two vendors for the overlap is paying twice.
It starts with the questions your buyers 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 cited across ChatGPT, Perplexity, Gemini and Claude, and adjust the plan based on what we find, so every month closes with a number you can take upward.
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 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.