Product Hunt

AI Visibility

Discovered On Jul 12, 2026
Primary Metric 15
Check how ChatGPT, Gemini and Claude talk about your brand
Your customers ask ChatGPT, Gemini, Perplexity and Claude before they ever reach Google. AI Visibility checks how those assistants talk about your brand: whether they name you, who they name instead, and which sources they trust. You get a visibility score, a competitor leaderboard, an AEO audit of your site, and a fix list you can act on the same day. Free to run on any brand and website.
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Developer & User Discourse

[Redacted] • Jul 12, 2026
Really like that you're measuring AI visibility as a competitive landscape instead of just another SEO score.One thing I'm curious about: as LLMs update constantly, how do you distinguish between a temporary ranking fluctuation and a genuine shift in a brand's AI visibility? That seems like the difference between founders reacting to noise versus making better strategic decisions.Congrats on the launch! 🚀
[Redacted] • Jul 12, 2026
The competitor leaderboard idea is genuinely useful, most AEO tools stop at your own score and leave you guessing who is actually winning those prompts.
[Redacted] • Jul 12, 2026
Ran it on a couple of small brands I work with and was surprised how differently ChatGPT and Claude described the same product. The competitor leaderboard is genuinely useful, not just a vanity score.
[Redacted] • Jul 12, 2026
the "assistants change their answers between runs" honesty is the right instinct, but it raises the obvious question: how many samples per assistant go into one score? a single ChatGPT call is basically one noisy draw, and if the tool only fires once per assistant per check, two people running it an hour apart on the same brand could get meaningfully different scores and think something changed when it's just sampling variance.
[Redacted] • Jul 12, 2026
Interesting direction. Have you noticed cases where an AI model confidently gives outdated or incorrect brand information, and if so, how do you distinguish hallucinations from missing public data?
[Redacted] • Jul 12, 2026
Love how it surfaces which sources the assistants actually trust rather than just giving a vague score, that level of detail makes the fix list feel actionable instead of generic.
[Redacted] • Jul 12, 2026
We’ve been using AI Visibility for our SaaS, and it’s one of the few GEO/AI visibility tools that provides insights we can actually act on. We especially like seeing which prompts we’re already visible for, where competitors are ahead, and how our visibility changes over time. The reports have already inspired new content ideas, including comparison pages, integration guides, and content focused on real customer questions.A couple of features we’d love to see: email notifications when a scheduled report is ready or when visibility changes significantly, plus a “content opportunities” section suggesting blog topics based on prompts where competitors are cited but we aren’t. A directory of potential guest post partners or industry blogs would also be a great addition.
[Redacted] • Jul 9, 2026
Hey Product Hunt đź‘‹

I'm Andrew, maker of AI Visibility.

I come from SEO. Last year I watched a familiar pattern break: clients kept their rankings, but the buyers stopped arriving from rankings alone. People were asking ChatGPT which tool to pick, and the answer either named my clients or quietly handed the deal to someone else. Nobody could tell me which one was happening.

The tools I tried either charged for a dashboard before showing anything useful, or returned a single score with no way to act on it.

So I built the check I wanted to run myself. Enter a brand and a website, and AI Visibility shows you how ChatGPT, Gemini, Perplexity and Claude talk about it. You get:

🔍 A visibility score built from live answers, not estimates
🏆 A leaderboard showing who the assistants name instead of you
📎 The sources they cite, including the ones where you are missing
đź›  An AEO audit of your site with a fix list, ordered by impact

The whole check is free. Run it on your brand, or on a competitor.

Being honest about the edges: assistants change their answers between runs, so the score is built to absorb that rather than promise exactness, and the fix list is a starting plan, not a done-for-you service.

I would love to know: when you check your own brand, what did the assistants get wrong about you? I'll be here all day.