
An agent pulled a real client’s live authority data, ran our findability audit, and wrote a client-ready weekly report — automatically, with every number sourced from a tool, none invented. Here’s exactly how, and how it plugs into our Analytics, Search Console, and Google Ads agents.

What the agent pulls
The Weekly MAA Report (Managed Agent Audit) is one engine that merges several data sources into a single story for the client:
The worked example: Western Trading Post
Live pull, June 28: the site already ranks for 547 keywords, 210 in the top 3, drawing ~2,066 organic visits/month worth about $24,261 — real authority. But the findability audit flagged the leaks: no Organization schema, no sameAs, no share image, and no hub page. So the report writes itself: strong foundation, three automated fixes queued, and the paid footprint routed to the Ads agent. The first report sets the baseline; next week shows the movement.
How it’s generated (and kept honest)
Pull → analyze → write. A small script (report_gen.py) renders only the numbers that were passed in, so the report literally cannot invent a metric — if a source isn’t connected, it says so rather than guessing. A mid-size model (Sonnet) does the analysis and the prose; the data pulls and rendering are deterministic. Cost is pennies of connector units plus a few cents of tokens per client per week.
How it coordinates with the other agents
This is the part worth aligning on: the Weekly MAA Report is the merge point. Our agent owns SEO authority, findability, AI-presence, and the publishing/fixes; Daniel’s agents own Google Analytics, Search Console, and Google Ads. Rather than three disconnected reports, we want one weekly report per client that stitches all of it together — shared client/account identifiers, one schedule, one branded output. The hooks are already in the report (the GA/GSC/Ads rows are stubbed and waiting).
