Clayface analyzes 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
A leading powersports brand tracks twenty motorcycle forums and private Facebook groups alongside social, so owner conversation about accessories and fit surfaces in the same view as everything else.
“We named the Facebook groups on a Tuesday and had them running by Thursday. Everywhere else that has been a month long exercise that does not always end up working."

A leading beauty brand analyzes every ambassador post as full video, so screen time, spoken claims and on screen products are measured rather than guessed from captions.
“It goes deeper on tone, voice and performance than anything else we evaluated, and it breaks a single video down rather than reading the caption around it.”

“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.
Campaign impact is measured as sentiment change and product mentions rather than impressions. Clayface separates the posts belonging to a campaign, scores each one across the caption, the comments, the spoken audio and the video frames, and reports the movement against the period before the campaign ran.
Complaints and praise are resolved to the product line, model or variant they refer to, so a fit issue on one size or a packaging complaint on one format is separated from general sentiment. Themes are grouped by your own categories rather than a vendor category tree.
Clayface pulls any creator out of the wider conversation and scores them on the sentiment they moved rather than the views they delivered, covering sponsored and organic posts alike. The same view runs on creators posting for competitors, so a roster can be built from observed performance rather than follower count.
Advocacy shows up as unpaid posts from people who were never briefed, and most of it sits in video where the brand is spoken or shown but never typed. Capturing those posts identifies who is already advocating, which products they talk about and which of them are worth bringing into a formal programme.