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Scovant
Real AI agents test your site, not another static score
Static checkers see what your site declares: robots.txt, sitemaps, structured data. Scovant runs real AI agents that attempt actual purchases and bookings and report what happened - stopping at checkout, never entering payment details. Every deploy is compared against a CI baseline, so agent-readiness regressions surface before agents hit them. And one site is tested against ten different LLM agents, because what a premium model handles fine can still trip up a cheaper one.
Hey Product Hunt,
I built Scovant because "is my site AI-ready?" kept getting answered by checklists. A checklist tells you what your site declares. It doesn't tell you whether an agent can actually complete a purchase on it.
So Scovant runs the agent. It opens the site, navigates, adds to cart and goes to checkout - and stops there, it never enters payment details. You get the transcript of what happened, not a grade on your metadata.
Two things I care about most:
- Agent-readiness is a regression, not a score. Every deploy is compared against a baseline, so a broken flow surfaces before agents hit it.
- One site, ten models. What a premium model handles fine can still trip up a cheaper one, and you don't get to choose which agent visits you.
The scoring methodology is public - every rule and weight is documented.
Happy to answer anything.
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About Scovant on Product Hunt
“Real AI agents test your site, not another static score”
Scovant was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #150 on the daily leaderboard. Static checkers see what your site declares: robots.txt, sitemaps, structured data. Scovant runs real AI agents that attempt actual purchases and bookings and report what happened - stopping at checkout, never entering payment details. Every deploy is compared against a CI baseline, so agent-readiness regressions surface before agents hit them. And one site is tested against ten different LLM agents, because what a premium model handles fine can still trip up a cheaper one.
Scovant was featured in SaaS (43.6k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 245.1k products, making this a competitive space to launch in.
Who hunted Scovant?
Scovant was hunted by agents scovant. 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 Scovant stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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