What's behind this week's shift in share of voice? Before MCP, answering that me
By Melissa Burdick · June 11, 2026 · Curated by George's Blog
What's behind this week's shift in share of voice?
Before MCP, answering that meant pulling data from multiple places across multiple platforms, then piecing together enough of the picture to make a call assuming you had access to the right signals at all.
Competitive positioning data, for example, isn't something most retailers' native reporting is built to surface.
With Pacvue's MCP server connected to your AI tool of choice, that same question can be answered in one place.
Live campaign data, share of voice, and cross-retailer signals, all accessible in plain language inside the AI tool you're already using. No manual exports. No platform switching.
But speed is only half the story. As Nate Shurilla, Pacvue's Head of APAC, puts it:
"The risk isn't that AI gets you the wrong answer. It's that AI gets you the right answer to the wrong question — because it can only see part of your business."
Tell an AI to improve your ROAS without giving it the full picture, and it might target your branded keywords, hit the number, and quietly cannibalize revenue you were already going to capture organically. The model isn't broken. It just didn't have enough context to know what it was trading away.
That's why complete data access matters as much as fast data access. When your AI can see ads, organic, and incrementality signals together, it's optimizing toward actual business outcomes — not metrics that look good until they don't.
Pacvue's Report MCP and Data Query MCP are live, with Campaign Management capabilities a fast follow. Each new phase expands what your AI can reach and act on.
What's the highest-friction question your team is still answering manually? Drop it in the comments.