Launch Intel
Keyword Discovery by SEO Co-Pilot

Keyword Discovery by SEO Co-Pilot

AppSumo

Customers are all about Keyword Discovery by SEO Co-Pilot, praising its comprehensive keyword research, efficient AI technology, and accurate keyword difficulty scores. There are a few hiccups like occasional issues with account access and credit depletion, just small bumps on the road.

Customers are all about Keyword Discovery by SEO Co-Pilot, praising its comprehensive keyword research, efficient AI technology, and accurate keyword difficulty scores. There are a few hiccups like occasional issues with account access and credit depletion, just small bumps on the road. Weighing the raves against the occasional grumbles, Keyword Discovery by SEO Co-Pilot is hitting the mark and is a solid buy for those in need of a reliable keyword research tool. Since this product is refundable, then encourage the customer to give it a try, because there's a 60-day money-back guarantee.

Visit productView on AppSumoSep 12, 2023
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Actual performance

62reviews
Made the leaderboard

Traction signals

Rating3.2 / 5
Purchases2,514

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
78%78% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: occasional, efficient · Missing: plus, platform, intuitive
75%75% 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 · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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