AI search glossary — GEO, AEO and everything else, in plain English

Traditional search rewarded pages; generative engines reward evidence. When someone asks an AI assistant “which clinic should I trust?”, the system assembles an answer from what it already knows and what it retrieves — and it prefers brands whose facts are clear, agree with each other across the public web, and are confirmed by sources the brand does not control. GEO is the discipline of supplying exactly that: one approved set of facts, independent corroboration, and content structured so a machine can lift it accurately.

An Indian example: two dental clinics in Noida are equally good. One has a consistent website, corrected directory profiles, published patient guides and independent mentions; the other has a Facebook page and an outdated listing. When a parent asks ChatGPT for a paediatric dentist, only one of them is easy to name — and it is not a coincidence which.

Why it matters to your business: your next customer may never see a results page at all — only an answer. GEO decides whether you are in it.

An answer engine does not read a page the way a person does. It looks for a passage that answers the question whole — one that still makes sense when lifted out of the page. AEO writes for that reader: every heading a real question, every first sentence a direct answer, every fact stated where it is used rather than three paragraphs earlier, and schema markup underneath so the structure is explicit.

An Indian example: a CA firm in Ahmedabad publishes “What does a GST audit cost?” with the honest range in the first sentence. When a founder asks that exact question, the engine has a passage it can quote and attribute — the firm gets named; the competitor with a brochure page titled “Our Services” does not.

Why it matters to your business: GEO earns the right to be known; AEO makes each page quotable. ProminAI treats them as one discipline — this glossary and the FAQ are themselves built the AEO way.

They are easiest to separate by asking what each one is trying to win: a click, a citation, or a quote. A page can rank #4 and still be the only brand an AI answer names — or rank #1 and never be mentioned. Keep your SEO if it earns traffic; add GEO and AEO for the layer it does not touch.

Why it matters to your business: most Indian businesses have bought SEO for years and never once been named in an AI answer. The gap between those two facts is this whole category.

Visibility here has three honest components: presence (are you named at all?), accuracy (is what is said about you correct and current?), and company (who is named beside or instead of you?). It varies by platform, by phrasing, by user and by day — which is why serious measurement is a dated record of observations, never a single number.

An Indian example: a Jaipur coaching institute is named by Perplexity for “best NEET coaching in Jaipur” but invisible on ChatGPT, which names three competitors — and Gemini describes it with a campus address it left two years ago. That is one brand with three different visibility positions, all real.

Why it matters to your business: you cannot manage what you have never checked. The free AI Presence Check records where you stand today, in writing.

Citations are how answer engines show their working: Perplexity links sources by default, Google's AI experiences cite pages they draw from, ChatGPT cites when it searches the web. What earns citation is consistent: clear self-contained passages, facts corroborated across independent sources, and pages the platform's crawlers are allowed to read.

What no one can honestly sell is the citation itself. There is no ad slot inside an organic AI answer, no partnership that inserts a brand, no fee that buys a mention. Anyone guaranteeing “citations in ChatGPT” is charging for the platform's decision, which is not theirs to sell. The work that can be sold honestly is the evidence the decision is based on.

Why it matters to your business: it is the difference between buying the work and buying a promise that cannot exist — the first is an asset, the second is the part of this market that is a scam. Our proof page draws that line precisely.

Search and answer systems increasingly reason about entities — companies, people, places — rather than keywords. An entity is strong when every surface that describes it agrees: same name, same category, same locations, same leadership, same claims. Every disagreement (an old address on a directory, two spellings of the founder's name, a stale service list) makes the machine less certain, and less certain means less cited.

An Indian example: a Pune manufacturer is “Precision Engineering Works” on its site, “PEW Industries” on a B2B directory and “Precision Engg. Works Pvt Ltd” in a news mention. Three names, one company, zero confidence — an AI answer simply picks a competitor that is one thing everywhere.

Why it matters to your business: entity clarity is the cheapest visibility work that exists — most of it is correcting what is already public. It is stage one of the Authority Engine.

Mentions are the corroboration layer: independent surfaces confirming that you exist, do what you say, and serve whom you claim. Quality decides everything. A mention on a relevant, indexable platform with an accurate description strengthens the record; a burst of spam listings with inconsistent details weakens it — which is why refusing junk mentions is a feature, not a limitation.

What ProminAI refuses to count: anything not live, not clickable, not accurate, or not consistent with the approved Brand Truth File. Planned work appears in the portal so you can see it coming — with the cumulative count unchanged until each item is live. Mention targets are cumulative across a plan period, never a monthly quota to be gamed.

Why it matters to your business: corroboration is the signal a brand cannot give itself — and the count you pay against should be one you can click. That rule is the portal's whole design.

Google maintains the most famous one, but the idea is general: systems keep structured records of things, not just pages. You do not apply to join a knowledge graph; you become includable when your public facts are consistent and corroborated enough for a machine to hold them with confidence. Structured data (schema.org markup), consistent profiles and independent mentions are the raw material.

Does your business need to be in one? You need to be eligible: clean entity facts, agreed everywhere, confirmed independently. Whether a particular graph shows a panel for you tomorrow is the platform's decision — but every step toward eligibility is also a step toward being cited by answer engines, so the work pays either way.

Why it matters to your business: the graph is where machines look you up before they talk about you. Make sure what they find agrees with itself.