Every SEO tool I've used hands you a 200-issue report and expects you to take it on faith. We've bet TrustGrowth on the opposite premise audits grounded in Search Console evidence, and proof pages where we publish our own scores publicly, including when a change didn't help.
But I'm genuinely curious where the bar is for other people running sites: what would an SEO tool have to show you before you'd act on its recommendations or pay for them? Before/after data? The methodology? Something else?
Hey Product Hunt, Ravi here, Founder of TrustGrowth.ai.
While growing an earlier product I hit the mountain many makers here will recognize: SEO knowledge is scattered across a hundred places, unstructured, and the few people who understand how it fits together share only slivers. Climbing that next to actually building your product slowly drains you — it drained me.
TrustGrowth is what I built to fix it. Connect a verified site and it turns your own Search Console evidence into the whole picture in one place: a trust score you can open and inspect, the specific issues holding the site back, keywords worth pursuing, and a strategy drawn from all of it — without you having to become an SEO specialist first.
It is also why this is not another AI tool handing you a black-box answer and asking for trust. Concretely: every number traces back to evidence you can inspect, your proof page is public — timestamp, source context, and weak signals included — and nothing changes without your approval. Content workflows are coming; I would rather say that plainly than pretend they are here.
Don't take my word for any of this. The playbook TrustGrowth runs on — Groundcrew — is open source: inspect the method, or run it with your own agent. And I dogfood TrustGrowth on trustgrowth.ai itself, publishing its current proof, weak dimensions, and unresolved issues. A live baseline, not a victory lap.
We are all climbing the same mountain, so: add your site, then share your scorecard in the comments — you can grab it straight from your proof page — and see where you land on the leaderboard. Self-deprecating scores are welcome — I model that with my own.
Public proof: https://trustgrowth.ai/proofs/trustgrowth?utm_source=producthunt&utm_medium=launch&utm_campaign=ph_2026_07_23
Leaderboard: https://trustgrowth.ai/leaderboard?utm_source=producthunt&utm_medium=launch&utm_campaign=ph_2026_07_23
Open playbook: https://github.com/techwright-lab/groundcrew