Command
Use the Peec MCP to pull brand visibility for each of my projects over the last 7 days. Calculate the average visibility score across all projects. Then identify any project where visibility is more than 20% below that average. For each underperforming market, also pull the top 3 competitors by share of voice in that project. Return a ranked table showing: project name, current visibility score, global average, percentage gap, and which competitor is leading in that market. Export the ranked table to a Google Sheet. Connect it to Looker Studio for a live underperforming-market dashboard.
Managing AI search visibility across ten or more markets means someone is always working from stale data. The market that was on track last quarter may have quietly deteriorated while attention was elsewhere. And the signal rarely arrives clearly because each project lives in its own dashboard, requiring separate logins, separate exports, and separate comparisons to spot the pattern.
This workflow pulls every project in a single query, calculates the global average automatically, and surfaces only the markets that need attention. It also shows which competitor is currently filling the gap in each underperforming market, so the conversation about budget and priorities starts from evidence rather than instinct. For enterprise teams and agencies managing multiple regions, this is the difference between proactive management and discovering a problem six months too late.
