Launch Intel
RankControl

RankControl

TrustMRR

Most AI search tools tell you where you're mentioned and stop.RankControl does the work: seven AI agents find the questions buyers actually search, write brand-matched long-form guides, and publish th

Most AI search tools tell you where you're mentioned and stop.RankControl does the work: seven AI agents find the questions buyers actually search, write brand-matched long-form guides, and publish them as native posts on your own domain with your approval.Then it tracks what comes back: AI citations, Google rankings, backlinks, and leads by source. Content lives on your domain and compounds even if you leave. One flat plan, 30-day free trial.

Visit productView on TrustMRRAug 3, 2026Content CreationSoftwarestripe
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Actual performance

10customers
$4,000MRR/mo
Made the leaderboard

Traction signals

Domain Rating5

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, google · Missing: mac, macos, cursor
87%87% 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.
TrustMRRFits verified-revenue profile · Strong signals: google · 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.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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