AI search visibility · Profound
Profound
Enterprise platform tracking how often and how favorably a brand is cited in AI-assistant answers.
Profound tracks how a brand appears inside answers generated by AI assistants such as ChatGPT, Perplexity, Gemini, and Claude, rather than in traditional search-engine results pages. It analyzes large volumes of real user prompts to identify which questions in a category surface a brand's citations versus competitors', and reports on citation frequency, referenced source pages, and estimated traffic influenced by AI-driven answers. It also includes tooling aimed at improving a brand's odds of being cited, such as flagging pages an AI system appears to reference. As a category, this kind of AI-citation tracking is new, and methodology, how "visibility" or "share" is measured and how representative sampled prompts are, is not standardized across vendors, so figures should be read as directional rather than exact.
At a glance
| Vendor | Profound |
|---|---|
| Pricing model | Quote only |
| Free tier | Yes |
| Deployment | Cloud |
| Open source | No |
| Best for | Enterprise marketing teams wanting to track brand citations across major AI assistants. |
Pricing
A limited free trial is available; the main paid product is sold on custom, quote-based Enterprise contracts.
| Plan | Price | Notes |
|---|---|---|
| Trial | Free | 10 prompts run once, ChatGPT only, unlimited seats |
| Enterprise | Custom pricing (contact sales) | Daily prompt tracking across up to 9 answer engines, SSO/SAML, SOC 2 compliance |
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.
Features
- Tracks brand citations across ChatGPT, Perplexity, Gemini, and Claude
- Analyzes real user prompt volume by topic and category
- Reports citation frequency versus named competitors
- Flags source pages AI systems appear to reference
- AI-driven traffic and referral estimation
- Agency workspace mode for managing multiple clients
- SSO/SAML and SOC 2 compliance (Enterprise)
Profile last reviewed September 21, 2026