Find out what artificial intelligence says about your brand
Your customers stopped scrolling ten blue links. They ask ChatGPT or Gemini, read one answer and decide. LLM Visibility shows whether you appear, in what position, and how you’re described — and what to do about it.
No card. 150 credits, one project and seven days to see your real numbers.
Search has changed. Your analytics haven’t
Search Console won’t tell you ChatGPT is recommending a competitor. Your rank tracker doesn’t know what Gemini says about your pricing. The buying conversation has moved inside the model.
Before · 10 blue links
Users picked between options. You competed for the click.
Now · 1 synthesized answer
“For your case I’d recommend Your Brand, plus a couple of alternatives by budget…”
The model picks for the user. If it doesn’t name you, you don’t exist in that conversation.
Finally, honest numbers about your AI presence
Showing up is not enough. Showing up first is worth a lot more. That’s why our score combines presence and position — instead of flattering you with a flat percentage.
Presence and position quality in one number. Penalises every lost slot.
Share of answers that mention you. The ‘do I exist?’ metric.
Your mention share vs competitors, with no per-answer double counting.
How the model describes you, not just whether it names you. 0–100, with context.
How LLM Visibility works
You pick the questions
Add your customers’ real buying queries, or generate prompts with AI in one click.
We ask the models
Every prompt is run on ChatGPT and Gemini, in the country and language you choose.
We read it two ways
A deterministic layer detects your brand word by word. An AI layer extracts sentiment, position and sources.
You act
Metrics per model, prompt and time, with the exact sentence behind every number.
An end-to-end GEO command center
Where other tools stop, we keep going: all the way to the actions that move your numbers.
Do I appear, where, and how?
- Prompt tracking grouped by buying intent
- Share of Voice vs competitors
- Sentiment analysis and mention context
- Raw responses, word by word
Where does it come from?
- Citations: the websites feeding the models
- Entity association the AI attributes to you
- Crawler analysis: what GPTBot is reading
- Reddit, Wikipedia and YouTube as sources
What do I do to improve?
- LLM Training Signal: buy presence in cited sources
- Competitive Battle Cards by topic
- Reputation monitor with Slack alerts
- GEO recommendations on your own data
Buy presence on the sources AI already trusts
We cross every domain models cite with 7,700+ outlets where you can place content. Publishing where the model already cites is one of the most direct paths to being mentioned in its next answers.
ChatGPT and Gemini don’t agree
You may dominate one and be invisible in the other. A single average would hide it. We compare them side by side.
One credit, both models
One credit equals one prompt run on ChatGPT and Gemini. You pay for the questions you track and the cadence. No per-seat fees.
Start seeing what AI says about you
The brands that will win the next decade of search are already measuring this today.
Seven days free · 150 credits · No card