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shantanu das

Infrasity AEO/GEO Engine - Turn your content into AI answers (AEO/GEO for devtools)

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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.

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shantanu das
Maker
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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 🙌
Raghav

AI visibility has always been confusing for me and has become more confusing for me with so many tools with so much of the Read only information. This is something which looks like to give me a direction of what is to be done for fixing. Any limitation of the recommendations or direction for the prompts which i select?

Apoorv Tripathi

This looks promising. I have been using several AI visibility tools, and other than fancy dashboards and graphs, I did not see anything specific as to what has to be fixed to improve the rankings this is finally something that knows the How part of the LLM visibility story.

Speed Rogers

That is an interesting approach to AI Visibility tools. @arvish_suresh how many prompts can I add at once?

shantanu das
Maker

@arvish_suresh  @speed_rogers you can add upto 50 prompts for all the clusters you create

Aya Vlasoff

Congrats on the launch! As a marketer at a pre-launch startup, getting discovered by AI models before we even hit Google is something I hadn't thought about until now. Can you track visibility across multiple AI models at once, or do you have to monitor them separately?

Sounak Bhattacharya

"Track and grow visibility across AI models" — how does the measurement actually work? Are you querying ChatGPT/Claude/Gemini with the high-intent prompts on a schedule and parsing whether your brand shows up in the response? And if so, how do you handle the non-determinism — same prompt can return different answers on different runs.

Secondly, The "competitor share" metric is the interesting one here. Is that share-of-voice across all prompts in a category, or just the ones where you're already showing up? Because the scarier number for most devtool teams is probably the prompts where neither they nor their competitors appear — the total blind spot.