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Infrasity AEO/GEO Engine
Turn your content into AI answers (AEO/GEO for devtools)
Search is changing. Your buyers ask ChatGPT, Claude, and Gemini what tools to use — not Google. Infrasity GEO helps devtool teams track and grow their visibility across AI models. • Measure answer inclusion, citations, and competitor share • Discover high-intent prompts (not keywords) • Identify gaps where you’re missing from AI answers From SEO to AEO/GEO — optimize for answers, not rankings.
Hey everyone 👋
We didn’t start out trying to build an AEO/GEO product.
Over the past year, working with devtool teams, we kept seeing the same problem:
Teams were publishing blogs, docs, and tutorials…
But when you actually asked ChatGPT or Claude what tool to use — they weren’t showing up.
That felt like a broken loop.
All existing tools were built for Google (keywords, rankings, traffic),
but discovery was clearly shifting toward AI answers.
So we started manually testing prompts, tracking mentions, and reverse-engineering why some tools kept getting recommended while others didn’t.
That eventually became Infrasity GEO.
Instead of thinking in:
→ keywords → we think in prompts
→ rankings → we track answers
→ traffic → we measure citations
Still early, but we’re seeing patterns around what actually gets picked up by LLMs (docs, Reddit, structured content).
Would genuinely love your thoughts:
Have you ever checked if your product shows up in ChatGPT or Gemini?
If yes — were you happy with what it said?
If no — how are you thinking about AI discovery today?
Happy to share everything we’ve learned so far 🙌