Hey Indie Hackers! Rafael here.
Since getting CitableHub set up here yesterday, I've been thinking a lot about the shift in product discovery. We spend months optimizing our landing pages for Google (traditional SEO), but when a user asks ChatGPT, Claude, or Perplexity for a tool in our niche, our products are completely invisible.
The truth is, LLMs don't browse the web like humans. They get stuck on heavy JavaScript, ignore marketing fluff, and look for structured, semantic data. If your app isn't built to be machine-readable, you are missing out on the fastest-growing acquisition channel of 2026.
I call this GEO (Generative Engine Optimization). To get cited by AI agents, your product needs to feed them the right signals.
Here is what we are building at CitableHub to fix this discoverability gap:
The Citability Score: A metric to see how visible and accurately referenced you actually are to AI agents.
MCP Gateways: A machine-readable profile that LLMs can instantly digest and cite without guessing.
GEO Audits: Actionable steps to translate your marketing site into AI-friendly context.
I'm currently opening up free GEO Audits for the community to test the engine. If you want to see how your product looks through the eyes of an AI, you can run it through CitableHub or drop your link in the comments and I'll run it for you.
Has anyone here successfully acquired users directly from an AI prompt yet? I'd love to hear your experiences!