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Rampify
From audit to verified fix, across search and AI answers
Rampify finds where you’re invisible in Google and AI assistants, shows it in a dashboard, and writes each fix as a spec you hand to your AI tool in one click: Claude, Cursor, VS Code or Conductor. Your agent makes the change and opens the PR, you deploy, and Rampify re-verifies it landed, so the fix is real, not a hallucination. It runs no inference of its own, working through the AI subscription you already have, with no token markup or lock-in.
About a year ago I started building websites with AI. I’d built plenty before, in the early days directly writing HTML, CSS and JavaScript. And later, using platforms like WordPress or HubSpot, which quietly handle the SEO side for you.
Building from scratch with AI, I didn’t realize how much I’d given up until I sat down to do SEO and found out my site was a client-rendered single-page app with almost nothing in the HTML. Google could barely read it, and the AI crawlers couldn’t see it at all. My coding agent built the whole thing and never once mentioned that the stack we were on wouldn’t get me found.
Then I hit a second problem. The data I needed (Search Console, analytics, keywords) was all out there, but scattered across different tools, and none of it was tied to my actual website. I could pull all of it and still not really know what was going on.
So I started building the thing I wished I’d had. One connection that brings your data and a crawl of your own site together in one place, organized around your pages, that your AI agent can actually use. It finds where you’re invisible in search and AI answers, writes each fix as a spec, your agent makes the change, and it checks the fix actually worked. That became Rampify.
I’d love your feedback, especially if you’ve built a site with AI and then tried to get it found. Did you run into the same things?
About Rampify on Product Hunt
“From audit to verified fix, across search and AI answers”
Rampify was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #56 on the daily leaderboard. Rampify finds where you’re invisible in Google and AI assistants, shows it in a dashboard, and writes each fix as a spec you hand to your AI tool in one click: Claude, Cursor, VS Code or Conductor. Your agent makes the change and opens the PR, you deploy, and Rampify re-verifies it landed, so the fix is real, not a hallucination. It runs no inference of its own, working through the AI subscription you already have, with no token markup or lock-in.
On the analytics side, Rampify competes within Marketing, SEO and Developer Tools — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Rampify performed against the three products that launched closest to it on the same day.
Who hunted Rampify?
Rampify was hunted by Alnoor Pirani. 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.
Hey Product Hunt, Alnoor here, maker of Rampify.
About a year ago I started building websites with AI. I’d built plenty before, in the early days directly writing HTML, CSS and JavaScript. And later, using platforms like WordPress or HubSpot, which quietly handle the SEO side for you.
Building from scratch with AI, I didn’t realize how much I’d given up until I sat down to do SEO and found out my site was a client-rendered single-page app with almost nothing in the HTML. Google could barely read it, and the AI crawlers couldn’t see it at all. My coding agent built the whole thing and never once mentioned that the stack we were on wouldn’t get me found.
Then I hit a second problem. The data I needed (Search Console, analytics, keywords) was all out there, but scattered across different tools, and none of it was tied to my actual website. I could pull all of it and still not really know what was going on.
So I started building the thing I wished I’d had. One connection that brings your data and a crawl of your own site together in one place, organized around your pages, that your AI agent can actually use. It finds where you’re invisible in search and AI answers, writes each fix as a spec, your agent makes the change, and it checks the fix actually worked. That became Rampify.
I’d love your feedback, especially if you’ve built a site with AI and then tried to get it found. Did you run into the same things?