Prospecting
Cloro
Track how a brand shows up in ChatGPT, Gemini and Perplexity answers.
Official site: cloro.dev
What it does
- Monitor AI-search visibility across major assistants, plus Google SERP data
A different kind of visibility than a search-rank tool tracks: what ChatGPT, Gemini and Perplexity actually say when asked about a brand or category, not where a page ranks on Google. Worth having for tracking whether a brand shows up in an AI answer, not just a search result.
Why through Tulina
Most systems now publish their own way for a model to reach them, and that is a good thing — it is what Tulina connects to. The connection was never the hard part. Deciding who may use it, what it is allowed to return, and what the model knows before it asks: that is.
The keys stay in one place
Connect Cloro once. The credential is encrypted in a vault, never held in clear, and never pasted into a chat or a workflow file. A person uses their own key where they have one, their team's where they do not, the organisation's after that — so nobody is blocked and nobody is handed more access than they need. Revoke it once and everything running on it stops.
What leaves is filtered before it leaves
Roles decide who can reach Cloro at all. Beyond that, a policy on the connector itself decides what comes back: fields dropped, identifiers masked or hashed, people pseudonymised. The data is minimised at the source rather than after it has already reached a model.
Every call is on the record
Runs are logged for the organisation — what was called, by whom, when. That is what makes an automated action reviewable after the fact, and what a security review asks for first.
The run starts knowing your company
A direct connection gives a model access. It does not tell it how your company names things, which accounts matter, or what was decided last quarter. Tulina carries that across every tool, so the same request against Cloro returns something usable instead of something generic.
Processes that run on Cloro
None published yet.