Spotting a recommendation gap
A brand is mentioned in most answers for its category but rarely recommended. Citation analysis shows answers lean on a comparison article that omits it — a concrete outreach target.
↗AI Visibility
You can't improve what you can't see. We track how AI answer engines talk about your brand and your competitors across the questions your buyers actually ask — and explain what the numbers can and can't tell you.
The problem
Explained
AI visibility is how present — and how accurately represented — your brand is inside AI-generated answers. It has several distinct parts:
| Signal | Question it answers |
|---|---|
| Mention | Is the brand named in the answer at all? |
| Recommendation | Is it suggested as an option the user should consider? |
| Citation | Is one of its pages linked as a source? |
| Position | Where in the answer does it appear relative to competitors? |
| Accuracy | Are the facts stated about it correct and current? |
| Sentiment | Is the description positive, neutral or negative? |
Rankings are fairly stable, observable and reported by search engines themselves. AI answers are generated per request and vary with wording, context and time. That makes AI visibility a statistical measure: we report the share of sampled answers in which something happened, not a single position.
Every report states the prompts, platforms, number of runs, dates and locations used. We distinguish observed results from interpretation, and we flag when a change is within normal run-to-run variation. Where it helps, we combine prompt sampling with analytics data on AI referral traffic and with SEO metrics, so the picture connects to business outcomes.
Prisol’s approach
We agree a set of prompts that reflect real buyer questions — category, comparison, problem and brand queries — rather than vanity phrasings.
Each prompt is run multiple times per platform on a schedule, so results reflect patterns rather than one-off answers.
We record mentions, citations, recommendations, position within the answer, accuracy and sentiment separately.
Share of answers is only meaningful relative to the alternatives buyers are shown.
Deliverables
Scope is agreed per engagement. These are the standard components.
A documented set of prompts by topic, intent and funnel stage, reviewed with you.
Results for ChatGPT, Gemini and Google's AI features, Perplexity and Copilot, reported separately.
How often your brand appears and is recommended across sampled answers, versus named competitors.
Which of your pages — and which third-party pages — are cited as sources.
Factual errors or outdated descriptions found in answers, with the likely source and a fix.
Trends, notable changes and recommended actions, with sampling method and limitations stated.
Process
Agree platforms, markets, competitors and the prompt set.
Run the first sampling cycle and establish starting measures.
Repeat sampling on a fixed schedule and capture changes.
Feed findings into SEO, AEO and GEO work and measure the effect.
In practice
Illustrations of the kind of work involved — not client results.
An honest limit. AI visibility measurements are estimates from samples. Results depend on prompt wording, location, account state and timing, and platforms do not publish usage data. We report method and confidence alongside every number and never present sampled visibility as market share or traffic.
A brand is mentioned in most answers for its category but rarely recommended. Citation analysis shows answers lean on a comparison article that omits it — a concrete outreach target.
Several answers quote an old pricing model. The accuracy log traces it to a stale directory profile, which is corrected.
FAQ
AI Search
How to measure AI share of voice: mention, recommendation and citation share across ChatGPT, Gemini, Perplexity and Copilot, with worked maths.
AI Search
A method for measuring brand visibility in ChatGPT, Gemini, Perplexity and Copilot — prompt sampling, the metrics that matter, and the limits to report.
GEO
Generative engine optimization explained — what GEO is, how it differs from SEO and AEO, what it can influence, and where its limits are.
See also: case studies · contact us · all services
AI Visibility Audit
Start with a one-off audit across the major AI platforms before committing to ongoing monitoring.
Prefer email? prithvi@prisol.org