Guide · AI visibility

What is AI visibility?

AI visibility is how often, and how favorably, AI engines mention your brand when people ask questions in your category. It is measured on a fixed set of prompts as the share of answers that name you, alongside share of voice against competitors, position in the answer, citations and sentiment.

What AI visibility means

When a buyer asks ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity or Microsoft Copilot for the best option in your category, the answer names a few brands. AI visibility describes how often yours is one of them.

The basic unit is a single answer: one prompt, asked of one engine, in one country, on one day. Each answer either mentions your brand or it does not, places you somewhere relative to other brands, may cite your site, and describes you in a certain tone. AI visibility is what you get when you collect those answers across many prompts and many days.

It is the measurement side of generative engine optimization and answer engine optimization. Those disciplines describe what to change; AI visibility tells you whether it worked.

The core AI visibility metrics

Visibility (mention rate). The share of answers that mention your brand. If you track 50 answers and 20 of them name you, your visibility is 40%. This is the number most tools call an AI visibility score.
Share of voice. Your mentions as a share of all mentions of the brands you track. It shows how you compare with competitors on the same answers.
Position. Where your brand appears in the answer relative to the other brands named. Being listed first is different from being listed fifth.
Citation rate. The share of answers that cite your own site as a source. You can be mentioned without being cited, and cited without being recommended.
Sentiment. Whether each mention describes you positively, neutrally or negatively.
Sources. The domains and pages the engines cite across your prompts. These show which third-party sites shape the answers in your category.

The numbers in these examples are illustrations of the arithmetic, not benchmarks.

AI share of voice compares your brand with the competitors you choose to track, on the same set of answers. Count every mention of every tracked brand across those answers, then divide your mentions by the total.

For example, suppose that across a week of answers your brand is mentioned 30 times and your three tracked competitors are mentioned 70 times between them. Your share of voice is 30 out of 100, or 30%. If a competitor you were not tracking starts appearing, it does not count until you add it, which is why choosing the right competitor set matters.

Share of voice and visibility answer different questions. Visibility asks how often you show up at all. Share of voice asks how much of the conversation you hold when brands are being named.

How AI visibility is measured

Choose prompts. Write the questions your buyers ask: category questions, comparisons, alternatives and problem questions. Group them into topics so you can see where you are strong or weak.
Choose engines and countries. Engines answer differently, and the same engine can answer differently by country and language, so decide where each prompt should be checked.
Collect answers on a schedule. Ask the same prompts repeatedly, ideally every day, and store each answer with its sources.
Detect mentions. Check each answer for your brand name and domain, and for each competitor, recording position and whether your site was cited.
Score sentiment. Classify how each mention describes you.
Aggregate over a window. Calculate visibility, share of voice, position, citation rate and sentiment per engine, per topic and over time.

Repetition is the important part. AI answers are not fixed: the same prompt can return a different set of brands on a different day. A single check shows one possible answer, while a trend across many checks shows where you actually stand.

Why AI visibility differs by engine and country

Each engine combines its own model with its own way of retrieving information. Google's AI Overview and AI Mode draw on Google Search, while ChatGPT with search, Perplexity and Copilot run their own web searches. The sources they find, and the brands they name, can differ for the same question.

Location matters too. A buyer in the United States and a buyer in Germany can get different answers to the same prompt, because local sources and local brands differ. If you sell in several markets, measure each one separately rather than blending them into one number.

Common AI visibility measurement mistakes

Judging from one screenshot. One answer is a sample. Look at repeated checks before drawing conclusions.
Only tracking branded prompts. A question that contains your brand name will almost always mention you. Track the category questions where buyers have not decided yet.
Ignoring competitors. A visibility number without competitors on the same prompts has no reference point.
Ignoring sources. The cited domains explain why an engine answers the way it does, and point to where you could earn a mention.
Blending engines and countries. An average across very different engines and markets can hide a gap in the one that matters most to you.

Improving the numbers is the job of GEO and AEO: crawlable pages, answer-first content, consistent facts and a presence on the sources engines already cite. The AI search optimization guide lays those steps out in order.

Measure it with AnswerTrack

AnswerTrack asks ChatGPT, Google AI Overview, Google AI Mode, Gemini, Perplexity and Microsoft Copilot the questions your buyers ask, automatically once a day, in the country you choose for each prompt. Every answer is stored with the sources it cited, and each one is checked for your brand name and domain.

You get mentions, position in the answer, share of voice against the competitors you track, citations and sentiment, per engine and over time. Prompts are grouped into topics, the gaps become a ranked list of actions, and an on-demand AI readiness audit checks your own site's robots.txt, sitemap and llms.txt.

Plans from $19/mo. 7-day trial.

Start 7-day trial See pricing

FAQ

What is a good AI visibility score?

It depends on your category and on the prompts you track. Broad category questions in a crowded market will give lower numbers than narrow questions in a niche. Compare yourself with competitors on the same prompts, and watch the direction of the trend rather than chasing a fixed target.

How is AI share of voice calculated?

Count every mention of every tracked brand across the same set of AI answers, then divide your brand's mentions by that total. If you are mentioned 30 times and your tracked competitors 70 times, your share of voice is 30%.

How often should AI visibility be checked?

Often enough to see a trend. Because the same prompt can return a different answer from one day to the next, repeated checks on a fixed set of prompts are far more reliable than an occasional spot check.

Should I track prompts that include my brand name?

A few, to see how engines describe you, but most of your prompts should be unbranded category questions. A prompt that names your brand will usually mention you, so it says little about whether buyers who have not heard of you will find you.

What is the difference between a mention and a citation?

A mention is when the answer names your brand in its text. A citation is when the answer links to or lists a page as a source. An engine can mention you while citing other sites, or cite your page without recommending you, so the two are tracked separately.