Audience Voice

Audience Voice reads the comments on posts from the accounts in a portfolio. Open a portfolio’s Analytics page and select the Audience Voice tab. It’s included in plans with intelligence features. Pick the last 30 or 90 days (90 is the default).

For free, on every visit, you see:

• The comment mix: how many comments ask questions, show buying interest, complain or praise.
• Demand signal: comments that show buying interest, and the products or names they mention.
• Sentiment: positive, neutral and negative comments.
• Most mentioned: the names and products people bring up most.

Finding themes groups the comments into:

• Questions: what people keep asking.
• Pains and objections: what they complain about or don’t believe.
• What resonates: what they praise, with a link to the post that drew most of that praise.

Every count is a number of comments. Quotes are shortened and never show who wrote them.

When it works

Audience Voice needs comments. With fewer than 30 analysed comments in the window you’ll see how many there are so far. From 30 you see the comment mix; from 60 you can find themes, which uses one analyze credit. If finding themes fails, or there are no questions, complaints or praise to group, the credit is refunded. Theme finding can be switched off for a while; then you still see the counts, and no credit is used. If you add or remove accounts, you still see the last result, marked as made before the change, until you regenerate.

Small accounts get few comments. The fastest way to more is to track 3–5 bigger creators your audience already follows. Open the Winners Brief tab, look at posts marked “via #hashtag”, and use Track.

Over the API

The same report is available to AI assistants through get_audience_voice (free) and generate_audience_voice (one credit).