This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Clarivy Observe Snapshot Baseline is a one-time AI decision visibility audit. Choose 5 buyer questions, run them across 8 production model endpoints, and get a human report, AI-readable Markdown brief, and raw-data index so your team can see how AI systems find, trust, compare, and recommend your brand. Launch-week offer: 10 qualified Product Hunt makers can join a real Snapshot Baseline feedback cohort with priority review.
Clarivy Observe Snapshot Baseline is a small first read for one brand:
- 5 buyer questions
- 8 production model endpoints
- 40 raw datapoints
- human report
- AI-readable Markdown brief
- raw-data index for verification
The problem I am working on: teams are starting to ask "does ChatGPT / Claude / Gemini / other AI systems actually know how to recommend us?" Most answers today are either SEO guesses or simulated reports. Clarivy takes the boring route: run scoped buyer questions against production model endpoints, preserve the raw evidence, and make the output readable by both humans and internal AI agents.
For this launch, I would love feedback on three things:
1. Is "AI decision visibility" clear enough, or should the category be simpler?
2. Would you trust a one-time Snapshot before buying monitoring?
3. What 5 buyer questions would you test for your own brand?
For launch week, I am opening a small Product Hunt feedback cohort: 10 qualified makers get a real Snapshot Baseline with priority review. It is not tied to upvotes or reviews. Accepted makers complete the scope input and join a short feedback debrief after delivery.
This feels super timely. As more people ask AI for product recommendations, knowing how your brand is being represented is going to matter a lot.
About Clarivy Observe on Product Hunt
“Measure how AI recommends your brand”
Clarivy Observe was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #37 on the daily leaderboard. Clarivy Observe Snapshot Baseline is a one-time AI decision visibility audit. Choose 5 buyer questions, run them across 8 production model endpoints, and get a human report, AI-readable Markdown brief, and raw-data index so your team can see how AI systems find, trust, compare, and recommend your brand. Launch-week offer: 10 qualified Product Hunt makers can join a real Snapshot Baseline feedback cohort with priority review.
Clarivy Observe was featured in Sales (21.9k followers), Marketing (465.8k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 191.3k products, making this a competitive space to launch in.
Who hunted Clarivy Observe?
Clarivy Observe was hunted by TikKnock. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Clarivy Observe stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
TikKnock
Hi, I am TikKnock, building Clarivy.
Clarivy Observe Snapshot Baseline is a small first read for one brand:
- 5 buyer questions
- 8 production model endpoints
- 40 raw datapoints
- human report
- AI-readable Markdown brief
- raw-data index for verification
The problem I am working on: teams are starting to ask "does ChatGPT / Claude / Gemini / other AI systems actually know how to recommend us?" Most answers today are either SEO guesses or simulated reports. Clarivy takes the boring route: run scoped buyer questions against production model endpoints, preserve the raw evidence, and make the output readable by both humans and internal AI agents.
For this launch, I would love feedback on three things:
1. Is "AI decision visibility" clear enough, or should the category be simpler?
2. Would you trust a one-time Snapshot before buying monitoring?
3. What 5 buyer questions would you test for your own brand?
For launch week, I am opening a small Product Hunt feedback cohort: 10 qualified makers get a real Snapshot Baseline with priority review. It is not tied to upvotes or reviews. Accepted makers complete the scope input and join a short feedback debrief after delivery.