If you’re tracking AI visibility manually — running prompts every Monday and copying answers into a spreadsheet — you’ll burn out by week three. This is the lightweight pipeline we built for our own team and recommend for clients getting started: under twenty minutes, no engineering team needed.
The stack
- BrandAxis — runs the prompts daily, captures answers, citations, sentiment.
- Looker Studio — pulls the BrandAxis CSV export, renders three charts.
- A single Slack webhook — posts the weekly digest into a
#geo-trackingchannel every Monday at 9am.
That’s it. No Airflow, no warehouse, no analyst.
The three charts
Keep the dashboard ruthlessly minimal. Three charts, that’s all anyone reads:
- Share of answer over time. A line chart, weekly granularity, your brand vs your top 3 competitors. The shape tells you everything.
- Citation source mix. A bar chart of the top 10 domains the models are leaning on this week. Surfaces where the conversation is happening — usually a Reddit thread you didn’t know about.
- Sentiment delta. A small heatmap, last 4 weeks × 3 models. Red means trending negative on that model. Catches issues before they show up in the share-of-answer line.
The Slack message
Three lines, every Monday morning. “Share of answer this week: 27% (↑2 from last week). Top citation: reddit.com/r/SaaS/comments/xxxx. One thing to know: Gemini sentiment dropped on pricing-related queries — investigate.”
If your dashboard takes longer than ten seconds to glance at, nobody will glance at it.
Tags How-to Dashboards Tutorial