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Learns a YouTube channel's own style to generate matching titles, descriptions, tags, and timestamps.
TitleGen studies a YouTube channel's recent uploads, tone, and calls to action, then generates titles, descriptions, tags, and timestamps meant to match that specific channel instead of producing generic clickbait phrasing. It also researches keywords and flags trending outlier videos in a creator's subniche. The founder, Connor Davis, built it after running his own YouTube automation channel and finding existing tools produced titles that did not match his channel's voice. The company is based in London. A free plan allows five generations with no card required, and paid plans add unlimited generations plus more channel profiles.
Free gives 5 generations; Pro is $9/month for unlimited generations and 2 channel profiles, Creator is $29/month with outlier tracking, and MAX/Agency is $149/month for agencies managing many channels.
Use tool ↗TitleGen's angle over a generic AI prompt is that it reads a channel's own upload history before writing anything, which should keep suggestions closer to a creator's actual voice than a one-size clickbait formula. The free plan is thin, but enough to judge fit before paying $9 a month.
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