Category · English
What is GEO?
GEO (Generative Engine Optimization) is the discipline of being present inside the answers generative engines give — ChatGPT, Gemini, Perplexity, Claude and Google AI Overview. The same field is also called AEO (Answer Engine Optimization), LLM SEO and AI visibility; all four ask one question: when a user asks an AI, whose name appears in the answer, and which sources is that answer built from?
How is GEO different from SEO?
SEO targets a position among ten blue links and measures success in clicks. GEO targets presence inside the single answer the engine writes, where the user often clicks nothing at all — so a click stops being the measure of success.
The unit of measurement changes too. In SEO the unit is a rank for a keyword; in GEO the unit is an individual answer: one question was put to one engine, and the brand was either named or it was not. That binary outcome is countable, which makes GEO more directly measurable than rank forecasting.
Research published at KDD 2024 reports, on its own benchmark, that adding statistics, quotations and cited sources to a source already retrieved into the answer raises that source's visibility; the additions do not bring a source that is never retrieved into the answer. Classic keyword-density tactics measured as ineffective on this surface in the same study.
Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 (arXiv:2311.09735)Why does AI visibility matter now?
Search behaviour is shifting to answers delivered on the page: SparkToro and Similarweb's 2026 analysis finds that in the US more than two thirds of Google searches (68%, January to April 2026) end without sending a click to any site; the measurement covers the US, not Türkiye. When a user takes the answer directly, a brand absent from that answer receives no visit and no click at all.
The Turkish market has not yet settled on a name for this surface; even the category label itself (GEO, AEO, LLM SEO) has not settled into one form.
SparkToro / Similarweb, 2026 zero-click search analysis (US, January to April 2026)How is AI visibility measured?
Measurement starts with a registered set of questions: the questions real buyers ask, written without naming the brand. A question that names the brand already guarantees the brand appears in the answer, so it is not evidence of visibility — that distinction is the most basic rule of the method.
Every question goes to every engine and every answer is recorded individually. Whether the brand was named is resolved against namesake confusion — a name like 'GoPeople' pointing at both an HR product and an Australian courier company is the most common way a measurement breaks silently.
A cell we could not measure is never counted as a zero. A question that hit a provider error leaves the denominator and is disclosed separately; when 'we measured and found nothing' and 'we could not measure' become the same number, the report claims a certainty it does not have.
We measured our own product: 116 answers, 0 mentions
GeoMono measured its own visibility with its own instrument and publishes the result unchanged. The run, under the product's former name GoPersona, was planned as 130 cells across 5 engines; in the 116 measurable spontaneous answers, the product was never named.
- Planned observations
- 130
- Measurable spontaneous answers
- 116
- Answers naming the product
- 0
- Answers carrying at least one source
- 108 / 116
- Unmeasurable observations
- 9
26 registered questions × 5 engines
answer-bearing observations in the denominator
measured, and observed in none of them
93.1% — in this category engines read sources
removed from the denominator, never counted as zero
Two other brands measured the same day with the same instrument came out differently: a digital signage product was named in 6 of 97 answers (6.2%), an HR assistant in 1 of 84. These numbers are not a grade; they are the comparison line for the next measurement.
27 August 2026 · ChatGPT · Gemini · Claude · Perplexity · Google AI Overview
Frequently asked questions
What is GEO?
GEO (Generative Engine Optimization) is the discipline of being present inside the answers generative AI engines give — ChatGPT, Gemini, Perplexity, Claude and Google AI Overview. The same field is also called AEO, LLM SEO and AI visibility.
Are GEO and AEO the same thing?
GEO and AEO are two names for the same discipline in practice: both target presence inside the answer an engine generates. AEO (Answer Engine Optimization) emphasises answer engines, GEO (Generative Engine Optimization) emphasises generative ones; the measurement method and the interventions are the same.
How is AI visibility measured?
Registered questions that do not name the brand are put to every engine, every answer is recorded individually, and whether the brand was named is resolved against namesake confusion. Observations that could not be measured leave the denominator and are disclosed; they are never counted as zeros.
What is GeoMono and whose product is it?
GeoMono is an AI visibility analytics product based in Istanbul, run by its own company; its registered trade title will be published once the company's registration completes. Its only official address is geomono.com; it is unrelated to the US sales tool 'Personas' at gopersonas.com.
Does GeoMono measure its own visibility?
Yes. In the measurement of 27 August 2026, made under the product's former name GoPersona, 130 observations were planned across 5 engines; in the 116 measurable spontaneous answers GoPersona was never named, and the result was published unchanged. In the same measurement 93.1% of answers carried at least one source.
Start with your own site
The free scan measures whether AI crawlers can reach your site and whether your pages are quotable. No signup, no card, no email.