Fix the right products, build what customers are actually asking for, and plan the next quarter on counts rather than anecdotes. Clayface turns voice of the customer data from your site reviews, marketplace listings, forums and social video into one organised view, sorted by the product each person is talking about.
Track mentions across Instagram, TikTok, YouTube and X, along with video intelligence that equips you to read on-screen text, audio, products and logos inside the clip.
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Every mention scored for sentiment and mapped over time, so you can see what moved the needle and when the mood shifted.
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Every mention scored for sentiment and mapped over time, so you can see what moved the needle and when the mood shifted.
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Benchmark share of voice, engagement and sentiment against any competitor. Spot their launches, gaps and unhappy customers as they surface.
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What is working and what is not, mapped to the line, model or variant it refers to rather than the brand as a whole. Each product carries its own feedback history, so a change in formulation, supplier or packaging shows against the product that changed.
The people who love your product are already saying what they want next, in videos, in comment threads and in forum posts nobody is reading. Clayface pulls those requests out of every corner of the web and stitches them into one organised list, ranked by how many people asked.
Questions left unanswered on a listing, price objections and comparisons against a rival, taken from the conversation around the purchase rather than after it. Each blocker carries the products and the markets where it appears most.






475M+
creators database
25+
Social media platforms covered
5B+
Signals processed monthly
“Our old tool showed us maybe a fifth of the campaign. Clayface picked up creators talking through the product for a full minute without ever typing the brand name in the caption. That changed what we thought the campaign had actually done.”
“The video breakdown was the moment it landed. Screen time, what was said, what was visible, sentiment, all on one view. Nothing else we looked at could tell us which part of the video the reaction was to.”
“We were rebuilding the same competitor sentiment comparison by hand every month. Now it runs on a schedule and the numbers hold up when someone asks where they came from.”
