Clayface analyses posts, comments, spoken audio, on-screen text and products visible in frame across 25+ platforms. Every mention is resolved to the creator who posted it and the product it refers to.











Sentiment is classified from the caption, the comment thread, the spoken audio and the text on screen, then combined into one score per post with the underlying sources kept.
Mentions are pulled from post text, comments, audio and frames, then mapped to the product line, model or variant they refer to using your internal structure rather than a vendor category tree.
Name a rival set and every measure running on your brand runs on theirs, across the same platforms, the same signal layers and the same taxonomy.






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.”

Social monitoring handles individual posts as they arrive, usually for service replies or moderation. Social listening aggregates those posts into themes, sentiment and share of conversation across a period. Clayface works at the listening level and adds the layers text tools cannot reach, reading the spoken audio, the on-screen text and the products visible in frame alongside the caption and the comments.