I'm Abiot, the person behind RankEcho launching today.

The short version: when buyers ask ChatGPT, Claude, Perplexity, Gemini, or Google AI Overviews "best tool for X," most visibility platforms can only tell you whether you appeared. RankEcho closes the loop it finds the prompts where engines cite competitors instead of you, generates a deploy-ready fix for each gap, then re-tests the same prompt after you ship and shows whether the citation moved. Evidence, not dashboards.

Ask me anything how the audit works, how the proof loop measures movement, pricing, the stack (it runs on Cloudflare), or why I built it this way. Blunt questions welcome; I'd rather fix a real objection than collect polite ones.

The next big piece on the roadmap: automated fix deployment. Instead of copy-pasting the answer block and schema RankEcho generates, an approved fix would land as a pull request in your own repo you review the diff, you merge, and the merge commit becomes the ship marker the proof loop measures against. Never silent, always your approval.

Looking for a handful of founding design partners for that build if fixes-as-PRs (or a WordPress version) would fit your workflow, say so here and tell me about your setup.

And beyond that: what's missing? What would make this a no-brainer for your team or your clients? Feature requests, integrations, engines you want covered everything posted here goes on the real roadmap, and I'll reply to each one.