The problem this solves
Every marketing channel hosts the same recurring scene: someone asks a factual question - what is our share of voice, who ranks for the term we care about, do the AI assistants mention us - and the channel answers with vibes. A half-remembered number from last quarter, a screenshot from an old deck, a confident guess. The person who could pull the real figure is heads-down, the tool that holds it is behind a login most of the channel does not have, and the conversation proceeds on folklore.
The folklore compounds. A number cited from memory in March gets re-cited in June as established fact, drifting further from source each time. Decisions lean on it. And the people who do have tool access become an involuntary help desk, interrupted several times a week to look up figures that are, individually, two minutes of work and, collectively, a meaningful tax on the team's only analysts.
The structural fix is to put a participant in the channel whose answers come with receipts. When any question about rankings, visibility, or share of voice gets a reply containing the current number and the named source it came from, two things change: the channel's working facts stay fresh, and citing the source becomes the norm because the norm is now effortless.
How the mission runs
- The agent joins the channel and waits. Once added to #marketing, the agent responds only when @mentioned with a question. It does not interject, summarize unprompted, or react to ambient conversation. The contract is narrow on purpose: the channel gains an answerer without gaining noise, and every response is one somebody asked for.
- The question routes to the right source. A ranking question goes to SERP for the live picture. A share-of-voice or term-research question draws on Keyword Intelligence. A question about how AI assistants represent your brand runs through AI Visibility. The agent picks the lens the question actually needs, and combines sources when the question spans them.
- The answer posts in-thread with numbers and sources. The reply carries the current figure, the comparison that gives it meaning - movement against last month, position against named competitors - and where each number came from. It is sized for a channel read: the answer first, the evidence right behind it, no dashboard link standing in for substance.
- Follow-ups deepen in the same thread. When the asker replies "and how does that compare to Q1" or a teammate adds "what about the branded terms", the agent continues with thread memory intact, extending the analysis rather than starting over. One question becoming three is the normal shape, and the thread holds the whole exchange coherently.
- Recurring questions surface a rhythm. Ask in the thread for a standing version of anything the channel keeps requesting - share of voice on the first of each month, a ranking check on the terms that matter - and the agent proposes the scheduled mission for your confirmation. Ad hoc questions and scheduled answers meter to the same workspace balance.
The prompt
This is the exact objective the agent receives. Swap the obvious placeholders for your own domain, segment or channel and run it as-is from the console, Slack, or the API.
What comes back
A channel where factual marketing questions get factual answers: @mention the agent and receive the current number, its trend, and its named source in the thread, usually within minutes. Follow-ups deepen the analysis in place. Over time, a channel history where claims are sourced by default, and the team's analysts stop being a lookup service for figures the agent can pull.
Make it yours
- Scope it by channel: a #seo instance that leans on SERP and Keyword Intelligence, and a #brand instance answering AI Visibility questions, each with its channel's norms.
- Add a weekly unprompted exception: one Monday post with the three numbers the channel asked about most, current as of that morning, sources attached.
- Let it referee: when two teammates cite conflicting figures, either can @mention the agent to pull the current number and settle it in the thread with the source shown.
Frequently asked questions
Will it answer questions outside its data, like campaign budgets?
It answers what its sources can support - rankings via SERP, term and share-of-voice data via Keyword Intelligence, assistant visibility via AI Visibility - and says plainly when a question falls outside them. A clear "I do not have that data" preserves the property that makes the agent useful: every number it posts is sourced.
Can anyone in the channel use it, or only workspace admins?
Anyone in the channel can @mention it; that is the point of putting it where the team talks. Its answers draw on the workspace's metered balance under limits the workspace owner sets, so access is broad while spend stays governed by the same threshold rules as every other surface.
How current are the numbers it posts?
Queries run at ask time, so rankings and visibility reflect the source's current state rather than a cached report. Where a source has an inherent refresh cadence, the agent states the as-of date with the figure, so the channel always knows exactly how fresh the number it is citing is.