Findrix
Tracks how often AI engines cite a brand and ships ready-to-send fixes for the gaps
Findrix runs a brand's buyer-question prompts against ChatGPT, Gemini, Perplexity and four other engines repeatedly, then reports citation share against named competitors, flags outdated facts the AI repeats (like a wrong founding year), and maps which outside sources actually feed the answers. It writes the fixes and outreach emails in full so nothing requires manual drafting, though nothing goes live without the client's sign-off. First results land in about 40 minutes, and every metric is shown with its uncertainty rather than as a bare number.
What holds up
- +Reports uncertainty under every metric — no need for a caveat slide when presenting to a client
- +Fixes and outreach emails come pre-written, not just flagged as tasks to draft
- +First results in about 40 minutes from signup, not days of manual auditing
- +Pricing is unlimited clients and seats, billed by prompts rather than per seat
Mind the limits
- −Operates in a crowded, newly-hyped category (AI/GEO visibility) with no long track record yet
- −Nothing publishes without manual client sign-off — reduces the hands-off automation claim somewhat
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