FixAEO

FixAEO

TrustMRR

FixAEO shows how your brand appears in AI answers — ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek, and Google AI Overviews. Run a free scan to see where you're mentioned (and where comp

FixAEO shows how your brand appears in AI answers — ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, DeepSeek, and Google AI Overviews. Run a free scan to see where you're mentioned (and where competitors beat you), then get a prioritized list of fixes to get cited more often. Built for founders, marketers, and SEO/GEO consultants tracking the shift from search to answer engines.

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Actual performance

1customers
$29MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating8
MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: claude, google, perplexity · Missing: mac, agents, macos
92%92% 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 HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google, answers · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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