Comment collection at campaign scale
The platform gathers comments from tracked publications across the campaign, so analysis covers the real conversation, not a hand-picked sample. For campaigns with hundreds of posts, that is a volume no human team reads manually, and precisely the place where AI earns its keep.
Sentiment classification that admits nuance
Each comment is classified as positive, neutral, negative or mixed, because real audience reactions are rarely binary. "Love the creator, not sure about the price" is mixed, and the model treats it that way instead of forcing a label. Aggregated views show how sentiment distributes across the campaign, per market, per creator and over time.
Complaint and brand-risk flags
Beyond sentiment, the system flags comments that deserve human attention: product complaints, delivery issues mentioned by customers, or statements that could grow into a reputational problem. Flagged threads are surfaced to our team while the campaign runs, so a brewing issue is spotted in the comments section before it becomes a headline.
Semantic trackers with client-safe labels
Semantic trackers group comments by the themes your brand cares about, such as taste, price perception, packaging or purchase intent, each presented under client-safe labels in the portal and in exports. You see what the audience talked about and how they felt about it, without wading through raw comment dumps.
A reporting capability, not a headline number
We treat sentiment as a reporting capability that adds context to campaign results, not as a trophy metric to lead a press release. In your reports it appears alongside reach and engagement, helping you judge creative direction, product feedback and market differences with evidence rather than gut feeling.
FAQ
How are comments classified?
An AI model assigns each collected comment one of four sentiment classes: positive, neutral, negative or mixed. On top of classification, the system applies complaint and brand-risk flags to comments that warrant human review, and semantic trackers group comments by theme.
What are semantic trackers?
Configurable themes that matter to your brand, such as price perception, packaging or purchase intent. Comments matching a theme are grouped under it with client-safe labels, so your report shows what the audience discussed and the sentiment within each theme.
Can sentiment results go into our campaign reports?
Yes, that is the point. Sentiment summaries and semantic tracker results appear in the client portal and flow into PPTX and XLSX exports next to reach and engagement metrics, giving your report a qualitative layer grounded in the actual audience conversation.
What happens when a brand-risk comment is flagged?
Flagged comments are surfaced to our campaign team during the campaign, not after it. Depending on the case, we review the thread, inform your team and agree on a response. Early visibility is the value: issues get handled while they are still small.