AI brand visibility

Picture a buyer who asks ChatGPT, Perplexity, Gemini, or Claude: "What are the best tools for [your category]?" The answer names two or three products, sketches who each is for, and sometimes cites a review page or directory. AI brand visibility is whether your brand is in that answer — and whether the description matches what you actually sell.

Three failure modes show up again and again:

1. Omission — the assistant never names you on category questions.
2. Misdescription — you are named, but the category, audience, or offer is wrong.
3. Weak framing — you appear as a footnote while competitors get the recommendation language.

All three are visibility problems. Only the measurement method differs: omission shows up in Visibility % and share of voice; misdescription and weak framing show up in Sentiment and cited sources.

A complete picture needs both kinds of prompts.

Branded prompts

Branded prompts are questions that already include your name: "What is [Brand]?", "Is [Brand] good for X?", "How does [Brand] compare to [Competitor]?" Here the job is accuracy and sentiment. Buyers who already know you still ask assistants for a second opinion. A thin or wrong answer can lose a deal you thought you had won.

Unbranded / category prompts

Unbranded prompts are the discovery questions: "Best tools for Y", "Alternatives to Z", "Software for [job to be done]". Here the job is appearance and share of voice. If you never show up, ranking well on Google does not rescue the shortlist the assistant just wrote.

Use both. Branded-only monitoring flatters brands that are known but absent from category answers. Unbranded-only monitoring misses tone problems on the prompts that close deals.

SEO visibility is about blue links and SERP features. AI brand visibility is about being written into the answer.

A page can rank and still be left out of the prose. An assistant can also cite a third-party roundup instead of your homepage, even when your site is strong. Citations often come from directories, review sites, and other people's comparisons — not only from pages you control.

The work overlaps where clear facts help both ranking and answers. The goal does not. For GEO vs SEO in more depth, see generative engine optimization — this page stays on the brand outcome.

You do not need a dozen KPIs. Four signals describe the state of the brand in AI answers. The full monitoring playbook lives on AI visibility monitoring; here is the short form.

Visibility %

Were you mentioned at all on the tracked prompts? This is the omission check.

Sentiment

When you were mentioned, was the tone fair, thin, or negative? This catches misdescription and weak framing.

Share of voice

How often do you appear next to the competitors a buyer would actually compare on the same prompts?

Cited sources

Which pages does the answer rely on — yours or third-party? That tells you where consistency work belongs.

Per-model reality matters. ChatGPT, Perplexity, Gemini, and Claude do not always agree. A blended score can hide a missing mention on the assistant your buyers prefer. Read each model on its own.

Most gaps come from materials, not from a secret ranking trick.

• Vague or inconsistent "who we are / who we serve / what we sell." If your site, LinkedIn, and directory listings tell three different stories, answers drift.
• Thin answer pages for buyer questions. Assistants reward pages that actually answer pre-purchase questions. Category fluff does not.
• Stale third-party profiles and roundups. Engines cite other people's pages. An outdated G2 blurb or "best of" list can outrank your own clarity.
• Treating llms.txt, schema, or sitemaps as magic. Useful labels help crawlers. They are not a switch that forces a mention.
• Honest limits. You do not control the model. You control evidence and the materials it can find.

If the picture looks messy, gather evidence before a rewrite. An AI Visibility Audit (€299 / $339 / £259) is one way to get a four-model readout and a 30-day plan before you change the site.

There is no guaranteed path to a ChatGPT recommendation. There is a practical sequence.

1. Measure — run the same branded and unbranded prompts across the models that matter. See AI visibility monitoring for cadence and metric definitions.
2. Fix highest-impact materials — clarify who you are and who you serve on your own site; publish pages that answer real buyer questions; align third-party descriptions with that story.
3. Re-measure — answers move. A one-off look goes stale. Trends tell you whether the fix changed the answer.

When you are choosing how to track or which specialist to use, the compare hub — including Peec, Otterly, and Mentionable — is the place for product-level context.

Free snapshot / trial — see how visible you are today on the models included in the plan you try. Start from the homepage.

AI Visibility Audit — one offer at €299 / $339 / £259. It runs ChatGPT, Perplexity, Gemini, and Claude, then delivers a written report, a 30-day action plan, and a 30-minute walkthrough.

Ongoing plans — Starter, Pro, and Scale at the monthly prices on the homepage. Keep measuring as you fix materials.

Agency — portfolios and multi-brand work. Talk to us; pricing is agreed up front. Not a fourth self-serve price.

The audit is a one-off evidence pack; subscriptions are ongoing monitoring.