Track share of voice

Collect a dataset that spans the brands

Share of voice compares brands within one dataset, so the dataset has to contain all of them. Run keyword research scoped to the category and your competitor set rather than just your own name — for example a query that names the rival project-management tools and the jobs people use them for, so the conversation captures everyone, not only you.

Use boolean operators to widen the net across the category. The operators are AND, OR, NOT, plus parentheses for grouping and "double quotes" for exact phrases. The default join between two keywords is OR (which broadens reach) — add AND to require co-occurrence and NOT to exclude. Operators are case-insensitive and shown uppercase. For a project-management comparison you might collect with asana trello "monday.com" notion clickup (implicit OR across the set) or "project management" AND (asana OR trello OR notion). Sanity-check the live mention-count estimate before you run.

Open skills

Open the chat or project where you collected the dataset. In the chat composer, click the Open skills book icon to pop the skills picker. The picker shows Favourite skills with a Browse all skills footer.

Browse all skills

Click Browse all skills to open the full library. In the left Skills sidebar, open the Market research category — that is where Mentioned brands lives. You can also type into the search box to find it by name.

Use this skill

Open the Mentioned brands skill to read what it does: it pulls the pre-computed brand-mention field from each post, aggregates reach, volume, dominant sentiment and context per brand, and renders a share-of-voice bar chart. Click Use this skill to attach it to the current chat draft — it appears as an inline chip in the composer. If no chat is open, Use this skill is disabled with the tooltip Open a chat or project to apply this skill.

Add context and send

Attach your category dataset as context in the composer before you send — the skill reads whatever dataset you attach, so the share-of-voice comparison only covers the brands inside it. With the skill chip and the dataset context chip both on the message, send it. The skill does not run on its own; the analysis (and any credit cost) happens only when you send.

If you would rather skip the picker entirely, you can ask the assistant in plain language instead — for example compare share of voice across Asana, Trello and Notion in this dataset, with the same dataset attached as context. The result is the same kind of brand comparison.

Share-of-voice chart

The hero artifact is a horizontal bar chart of the top brands by reach, with each bar coloured by that brand's dominant sentiment — positive, negative, neutral or mixed. This is your share-of-voice view: the longer the bar, the larger the brand's slice of the conversation; the colour tells you whether that slice is friendly. Read your own bar against your competitors' to see who owns the category discussion and at what cost in sentiment.

Brand detail table

Below the chart, the brand detail table gives one row per brand: name, reach (distinct users mentioning it), volume (total mention count across posts), dominant sentiment, a one-to-two-line context note on how the brand is framed, and a representative verbatim quote with a link. Use it to separate reach from volume — a brand can be mentioned a lot by a handful of loud accounts, or a little by many.

Notable patterns

The skill closes with two to four notable patterns worth acting on: a brand punching above its reach (few mentions but strong sentiment), a brand dominating the conversation, a co-mention pattern where two brands almost always come up together in comparison threads, or a sentiment skew. These are the read-outs that turn a chart into a positioning decision — for instance, learning that your tool is co-mentioned with a specific rival whenever people discuss a particular workflow.