AI Visibility Check

Indie Hackers

See how ChatGPT, Gemini & Perplexity describe your business.

AI Visibility Check (by CyberSpark UK) is a free website audit tool that shows how ChatGPT, Gemini, Claude, and Perplexity perceive and cite your brand across 273 technical checks in 60 seconds.

Visit product View on Indie HackersJun 1, 2026commitment-full-time employees-10-plus founder-multi

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, perplexity, chatgpt · Missing: mac, agents, macos

64%64% 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.

Indie HackersIH features products with proven revenue · Strong signals: gemini · Missing: supports, created, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ai · Missing: api, 000, profitable

26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source

16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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