Meet the Chief Marketing Officer
Agentic AI handles the volume. You hold the judgment. The new operating model for multi-location marketing leaders.
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About
the research
The title on the org chart still reads "Chief Marketing Officer." What it asks of the person holding it has moved on faster than the job description.
For two decades the work was execution at scale: campaigns, channels, budget. AI agents now absorb much of that layer — listing updates, review responses, content distribution, performance reporting — running around the clock without tickets or waiting.
This report sets out what that transition asks of your team, your data, your technology choices, and your own role as the leader who owns the outcome.
Most Marketing Leaders Are Overwhelmed, Fragmented, and Unaccounted
Senior marketers are buried in signals their stacks were never built to handle, split across tools no single platform can reconcile, and spending into channels whose results no longer map to how customers find and choose businesses.
%
growth in AI-referred traffic to retail sites
Adobe for Business, 2026
%
of brands are missing from AI recommendations entirely
The Definitive GEO Playbook, 2026
%
increase in AI-driven revenue per visit
Adobe for Business, 2026
The Strategy to Win in AI-Led Local Search
From Executor to Orchestrator
The orchestrator directs three things at once. Get the division of labour right and discovery turns into revenue — at a scale no human team can sustain.
Get the Data Right First
AI agents amplify whatever they can access. Fragmented, outdated, or inconsistent location data becomes a scaled inaccuracy the moment an agent acts on it. Source of truth is no longer an IT concern — it's customer-facing revenue.
Let Agents Run the Volume
Listings, reviews, content distribution, and reporting run continuously through agents that catch drift before customers do — and resolve it without a ticket. The constant upkeep that consumed a manager's week is absorbed by the operating layer.
“We’re rewriting key content to be more LLM-friendly — adding richer context, clearer intent, and structured detail. We’re improving over 400 location pages to make sure AI assistants can understand exactly what each location offers.”
Flo Guerouanni, Global SEO Lead,
Cushman & Wakefield

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