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LLMGeoKit – Free scanner for AI/LLM visibility (the new SEO)

Hacker News

LLMGeoKit – Free scanner for AI/LLM visibility (the new SEO)

AI assistants like ChatGPT, Claude, and Perplexity are replacing Google for millions of searches. But most websites are invisible to them. LLMGeoKit is a free scanner that analyzes your site across 7 dimensions of LLM visibility: - Robots.txt & crawler access - Structured data (JSON-LD) - Metadata & Open Graph tags - Content structure - llms.txt (the new standard for AI) - Citation signals - Content extractability Get your score in 30 seconds. No signup required. We built this because SEO is evolving into GEO (Generative Engine Optimization), and most companies have no idea where they stand.

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Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, google, new · Missing: mac, agents, macos
80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, scanner · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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