Share of voice by model and prompt
Know the exact percentage of category answers that name you vs each rival.
See how often ChatGPT, Claude, Gemini, Perplexity and Grok recommend you - and your share of voice against competitors, by model, prompt and geography.
Buyers act on what assistants say. Visibility tracking turns that invisible layer into a number you can move - and defend to your CEO.
Know the exact percentage of category answers that name you vs each rival.
See who is winning the answer, and where to attack.
Catch a visibility drop before it costs you pipeline.
One score across 5 assistants, not five dashboards.
An agency used visibility tracking to brief 6 articles for a hospitality client; mentions on Perplexity doubled. Placeholder pilot result until a named customer result is available.
The Cleotic visibility score is a 0 to 100 composite of two measured components, mention rate (the percentage of your tracked prompts where the AI names your brand) and average position (how early in the answer the mention appears). A brand mentioned often and early will score close to 100.
ChatGPT, Gemini, Claude, Perplexity, Grok, Qwen, and Bytdance Seed refreshed daily on Business and Enterprise. Starter covers ChatGPT, Perplexity, and Google models. Every score can be broken down per model, so you can see exactly which assistant is, or isn't, mentioning you.
Daily on Starter, Business, and Enterprise. Up to hourly on Enterprise Custom. You can filter any view by the last 7 days, 30 days, 365 days, or a custom range, and trace every movement back to the model and prompt that drove it.
There is no universal good score. What matters is your score relative to the competitors you track, and the direction of the trend. A 50 that is climbing beats a 70 that is falling, and a 65 against a top competitor on 40 is a strong position.
Yes. Every plan includes CSV export, and any MCP-capable AI agent can read your visibility data through Cleotic's MCP server. Enterprise Custom adds the option for data warehouse delivery to Snowflake, BigQuery, Redshift, or Databricks.