AI visibility explained

AI visibility: the outcome, not the method

AI visibility names a result you can try to observe, not a technique. It asks whether, and how, a source shows up inside a generated answer from a system like ChatGPT, Perplexity, Claude or Google AI Overviews. GEO, AEO and (in the AI-search context) SEO are the labels given to the practice of trying to improve that outcome. Confusing the outcome with the method is where a lot of the field's overclaiming starts: a vendor sells "AI visibility" as a deliverable, when what is actually being sold is a set of tactics with uneven evidence behind them, covered in full on how to be found in AI search.

GEO: generative engine optimisation

GEO traces to a specific, dated, checkable source: GEO: Generative Engine Optimization by Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande, first submitted to arXiv on 16 November 2023 and accepted to KDD 2024. This is the one clean origin story in this cluster: an academic paper, a named set of authors, a specific date. The paper's headline 40% figure is separately, and extensively, misused; see the anatomy of that claim. The origin of the term itself is not in dispute, only what the paper's numbers are later claimed to show.

AEO: answer engine optimisation

AEO's origin is less clean than the summaries in most guides suggest. The commonly repeated story credits Jason Barnard of Kalicube with coining the term via a Trustpilot white paper in January 2018, later presented at BrightonSEO as "A Universal Strategy for Answer Engine Optimisation (Beyond Position 0)". We went to Barnard's own account directly.

The source describing this is self-published, carries an internal date contradiction between its own page date and the events it describes, and does not itself state in so many words that Barnard coined the phrase, only that his research with Trustpilot preceded it. That is not the same as the term being undocumented; a named person, a named collaborator and an approximate date all exist. It falls short of the clean, single-source-verified origin GEO has.

SEO: search engine optimisation

SEO is the oldest term in this set and, on investigation, the most contested. The version that circulates widely credits the term to 1997, usually naming Bruce Clay or John Audette. A separate, named, first-hand account puts it two years earlier.

Bob Heyman's account, naming himself and Leland Harden, and citing their own 1997 book Net Results as documentation, dates the coining to the summer of 1995, working on the Jefferson Starship website. It directly conflicts with the 1997 date attached to Bruce Clay and John Audette that most retrospectives repeat. A third party, Jason Gambert, separately and wrongly claimed to have invented the term in 2007, prompting Heyman's account in the first place. Three named claimants, no independent adjudicator: treat "SEO was coined in 1997" as the popular version of a genuinely unsettled question, not a settled fact.

Where the terms sit relative to each other

Interest in the terms themselves has already peaked and is not growing in a straight line, which matters for anyone deciding which label to build a strategy or a website around.

GEO carries roughly double AEO's search volume, according to that same analysis, yet the report observes practitioners converging on AEO as the standard label going forward. This site uses GEO in its name and covers both terms, because a reader searching for one usually wants the other, and the underlying practice is the same regardless of which acronym wins.

None of this terminology history changes what is actually evidenced to work. For that, see how to be found in AI search, and for the strongest case that the entire category is overbuilt, see is GEO a scam?.

Common questions

What is AI visibility?

AI visibility is how often, and how prominently, a brand or source is mentioned or cited when AI assistants such as ChatGPT, Perplexity, Claude or Google AI Overviews answer a question related to it. It is descriptive, not a technique: it names an outcome you can try to observe, not a method for achieving it. GEO, AEO and SEO are the names given to methods aimed at improving it.

What is the difference between GEO and AEO?

Almost none in practice. Generative engine optimisation (GEO) comes from a 2023 academic paper and emphasises the generated answer. Answer engine optimisation (AEO) is the older, marketing-originated term and emphasises the answer being given. Rankability's analysis of 3,751 keywords across 48 months of Google Keyword Planner data found GEO carries roughly twice AEO's search volume, while practitioners increasingly converge on AEO as the label. No meaningful methodological difference separates the two disciplines.

Is AI visibility the same as SEO?

Overlapping but not identical. Classic SEO optimises primarily for ranking in a search engine results page. AI visibility concerns whether a source is drawn on inside a generated answer, which increasingly happens independent of that source's organic ranking position. Ahrefs found the share of AI Overview citations drawn from the organic top 10 fell from about 76% to 37.9% in six months, which is the measurable gap between the two.

Who coined the term "AI visibility"?

We could not find a documented coining event or a first named use, unlike GEO and AEO, both of which trace to a specific paper or talk. "AI visibility" reads as a plain descriptive phrase that emerged gradually as vendors needed a category name broader than GEO or AEO, sometime around 2024 to 2025, rather than a term one person or paper introduced. If a reader can point us to a documented first use, we will grade and publish it.