Generative engine optimization: get named in the answer, not ranked on a page.
When a buyer asks ChatGPT, Gemini, Claude or Grok who to call, GEO is the work that puts your business in the answer. This page defines the term, separates it from answer engine optimization and Google AI Overviews, and shows how the Command Center counts it and what moves the number.
What is GEO, and what does it get my business?
Generative engine optimization, GEO for short, gets your business named when a person asks an AI engine a buying question. A search engine returns a page of links and the buyer picks one. A generative engine writes one answer, names a handful of businesses, and the buyer calls one of them. GEO is everything you change about your public footprint so your name is in that answer.
Success is a mention in the generated text, not a position on a page. That is the whole difference from search engine optimization. The same facts, pages and reviews feed both, and the two are measured with different instruments.
Do I need GEO and AEO, or are they the same thing?
Treat them as the same work seen from two angles. Answer engine optimization asks whether you are named in the answer a buyer receives on one question. Generative engine optimization asks whether the pages you publish are the material the engine draws on to build that answer. One is the name in the result, the other is the source behind it.
The Command Center gives them one view, labelled AEO / GEO, because the measurement is identical: ask the question a buyer would ask, read the answer, record whether you are named. The companion entry on earning the citation covers the narrower term.
Do Google AI Overviews count toward my GEO score?
No. Google AI Overviews are a generated answer, but they sit at the top of a Google results page and behave like a search result written as a paragraph. So the Command Center measures them through the search view, which reads Search Console: the queries you appeared for, impressions, clicks and average position, published two to three days behind. The answer-engine view covers the four chat engines only, each asked through its own API.
Keeping the two apart keeps the number honest. Folding a Google result into a chat-engine score mixes two sources with two different delays into one figure, and that figure stops telling you what to do next.
How do I know whether the engines are naming me?
Ask and count. A fixed set of questions, written from what your customers actually ask, goes to ChatGPT, Gemini, Claude and Grok through each engine's own API with live web search on, because that is how a real person uses them and an ungrounded model only recites what it memorised. Each question is asked bare, the way a person types it, with no persona or preamble, because a wrapper changes what the engine retrieves and measures our prompt instead of your buyer's experience.
Every answer is read for your business name and recorded as cited or not cited, per engine, per question. The score is cited answers over answers received. A blank answer is a measurement error and leaves the denominator; it never counts as a miss, because an engine that returned nothing has not declined to name you. The view shows the score, its change since the last run, a per-engine split and the literal list of questions where you were cited and where you were not. The score is taken at baseline and re-run as the program moves, and the date of the last run sits beside it.
What do I change to get named more often?
Make the facts about your business agree everywhere an engine looks. Grounded engines read your Business Profile, directories and review sites directly, so the same inputs that move search move this number: pages that answer the buyer's literal question in plain words; structured data that says what you are and where you work; reviews and citations that agree with each other; and copy on your own site written to be quoted rather than skimmed.
Phrasing is the input most people miss. On one measured account, the same business in the same city was named by all four engines for one wording of a question and by none of them for a neighbouring wording. A question set skewed to one phrasing measures the phrasing, not the business, so the set has to span the buyer's vocabulary before the number is worth moving. That work is the program behind the score, on all tiers, and the answer-engine view tells you whether it worked.
GEO, AEO, AI Overviews and SEO, in one table.
| Term | What it means | Where it is measured |
|---|---|---|
| Generative engine optimization (GEO) | Being the material a generative engine draws on to compose its answer, across a category of buyer questions | Answer-engine view, per run, stamped with the run date |
| Answer engine optimization (AEO) | Being named in the answer a buyer receives on one question | The same view and the same measurement |
| Google AI Overviews | A generated summary at the top of a Google results page | Search view, via Search Console, 2 to 3 days behind |
| Search engine optimization (SEO) | Ranking on the results page and earning the click | Search view: average position, queries, impressions, clicks |
| The score | Cited answers over answers received; blank answers excluded | Per run, with change since the last run |
| Engines | ChatGPT, Gemini, Claude and Grok, each through its own API | Fixed set, so runs are comparable |
Your GEO score is the share of generated answers that name you, out of the answers that actually came back, on a fixed set of questions your buyers ask.
Questions, answered.
Is generative engine optimization the same as answer engine optimization?
Close enough that the Command Center measures both in one view. AEO means earning the citation on one question; GEO means how engines describe and recommend you across a whole category. The instrument is the same: ask, read, count.
Which engines count as generative engines?
ChatGPT, Gemini, Claude and Grok, each asked through its own API with live web search on. The set is fixed so the score compares from one run to the next.
Are Google AI Overviews part of the GEO score?
No. They are a search result, so they are measured through the search view, which reads Search Console two to three days behind Google. The answer-engine score covers the four chat engines only.
How often is it re-scored?
At baseline and as the program moves. The score carries the date of its last run.
Does GEO replace SEO?
No. Buyers still use both, so the same screen carries a search view for average position, queries and clicks and an answer-engine view for citations. The facts, pages and reviews that feed one feed the other.
What does a good score look like?
One that moved for a reason you can open. The score is the share of generated answers that named you, out of the answers received, on a fixed question set, and every question behind it lists how many of the four engines named you.
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- Refreshed when you open itLive data on page load, never a monthly PDF
- Counted from your own formsLeads recorded server-side, compared daily with Ads and GA4
- Four answer engines, measuredChatGPT, Gemini, Claude and Grok, with a published denominator
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