Why LLM visibility matters
When a buyer asks ChatGPT for the best CRM for a ten person consultancy, they read a written answer and a handful of sources, and the brands named in that answer become the shortlist. A brand missing from the answer misses that buyer at that moment.
Tracking which assistants name you, which cite your pages and who they name in your place is the AI equivalent of rank tracking. The numbers show where you are strong, where you are missing and whether your work is changing either.
How assistants decide what to mention
There are two routes, and most assistants use both.
- Search at answer time. The assistant runs a web search, reads the pages it finds and writes an answer with citations. Your chances follow SEO fundamentals: rank for the search it runs, answer the question clearly and sit on a site it trusts.
- Memory from training. Without a search, the assistant answers from what it learned in training. Your chances depend on how often and how favorably your brand was discussed across the web before that training.
Both routes reward the same thing: lasting, credible coverage of your brand on sites other than your own. See answer engine optimization for the work itself, the generative engine optimization guide for the evidence, and the free LLM SEO tool to test one question now.
The three numbers
- Mention rate: the share of answers that name your brand.
- Citations: whether an answer cites your pages among its sources, and how high your site appears in that list. First is worth more than fifth.
- Share of voice: your mentions as a share of all mentions of you and your competitors across the same answers. See share of voice.
Sentiment adds a fourth view: being named matters less if the answer warns people off you.
What Rank.ai measures
Rank.ai asks ChatGPT, Claude and Gemini your buying questions every day, through each engine’s API with web search on, and you can add Perplexity, Grok or DeepSeek to any question. For every answer it records:
- whether your brand was named, and the sentiment toward it;
- the other brands named, including the competitors you track;
- every page the answer cited, in order, and where your own site first appears.
Each day those runs roll up, for every question and engine, into your mention rate, your citation rate and your share of voice against the competitors you track. See the AI visibility tool for how it works and what it costs.
Tracking LLM visibility consistently
Answers vary. Ask the same assistant the same question twice and you can get different wording, different sources and sometimes a different recommendation. One run proves little either way.
Consistency comes from method: fix the wording of each question, ask on a schedule, and read the trend over weeks. Rank.ai keeps each question’s wording fixed and asks it every day, so the chart shows movement you can trust more than a screenshot.