We all know the pain of launching a product and hearing crickets. But recently, I noticed a new kind of pain: being completely invisible to AI.
When a potential user asks Perplexity or ChatGPT for "the best tool to do X," the AI usually recommends the big, legacy companies. Why? Because LLMs struggle to find and index our solo, isolated SaaS websites. We are tiny islands in a sea of data.
I recently built a tool called CitableHub to help SaaS founders optimize their sites for AI bots (Generative Engine Optimization). But looking at the data, I realized something huge:
AI visibility is a numbers game, and we need a Network Effect.
If you have one isolated SaaS, the AI might skip you. But if we pool hundreds of Indie Hacker projects into one highly-structured, machine-readable directory, the AI crawlers (like GPTBot and ClaudeBot) will treat it as a massive, authoritative source of truth.
The more projects we list on CitableHub, the more "citable" every single project inside becomes. A rising tide lifts all boats.
We don't need to fight the AI algorithms alone. I've set up CitableHub to act as this collective bridge. It takes your project and translates it into the exact format LLMs love to ingest.
Itβs 100% free to list your startup. Let's build the biggest, most structured directory of indie tools on the web, so the next time someone asks ChatGPT for a solution, it cites us.
You can add your project to the graph here: (https://citablehub.com/)
What do you guys think of this collective SEO approach for AI? Has anyone tried grouping data to get noticed by LLMs?
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