Labrika

AppSumo

Labrika is appreciated for its comprehensive SEO audit reports, user-friendly interface, and actionable recommendations. Some users have faced challenges with Google Analytics integration and minor technical knowledge requirements. With a 4.8 overall rating and 135 reviews, Labrika is a solid buy for those in need of an AI-based all-in-one SEO tool. Given the 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoOct 13, 2020

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Actual performance

157reviews

Made the leaderboard

Traction signals

Rating4.8 / 5

Purchases11,289

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: reviews, friendly, interface · Missing: plus, platform, intuitive

86%86% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, user · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

61%61% 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, users · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, 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

30%30% 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

12%12% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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