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Why Marketing Managers Should Own MarOps Strategy, Not Just Execute It
Enterprise Marketing·5 min read

Why Marketing Managers Should Own MarOps Strategy, Not Just Execute It

The Marketing Manager role is changing faster than the job description. The leaders who own MarOps strategy — not just execute campaigns — are the ones who make the next jump. Here is what that looks like in 2026.

08 May 2026

The MarOps Org Chart for the AI Era
Enterprise Marketing·5 min read

The MarOps Org Chart for the AI Era

How should marketing leaders restructure the operations function for an AI-native marketing org? The org chart that worked in 2022 produces the wrong outcomes in 2026. Here is the model that fits.

07 May 2026

Which MarOps Tasks AI Replaces, Which It Augments, Which It Cannot Touch
Enterprise Marketing·4 min read

Which MarOps Tasks AI Replaces, Which It Augments, Which It Cannot Touch

78% of marketing roles are transforming by 2026. The leadership question is not 'will AI take MarOps' — it is which tasks survive, which get absorbed, and which become more important. The answer is not what most teams plan for.

05 May 2026

MarOps Is Not a Cost Centre Anymore. It Is the AI Integration Layer.
Enterprise Marketing·4 min read

MarOps Is Not a Cost Centre Anymore. It Is the AI Integration Layer.

65% of marketing teams now have designated AI roles. Most of that work sits inside MarOps. The 2027 marketing budget conversation is already different — here is what leaders should be deciding now.

04 May 2026

Who Owns AI Visibility in Your Organisation? (And Why Nobody Does Yet)
Enterprise Marketing·4 min read

Who Owns AI Visibility in Your Organisation? (And Why Nobody Does Yet)

84% of marcom leaders disagree on who owns AI visibility. The April 2026 benchmark shows distributed responsibility predicts invisibility. Here is the ownership model that works.

01 May 2026

I Scanned 350 B2B Companies This Month. Here's the Pipeline.
Enterprise Marketing·4 min read

I Scanned 350 B2B Companies This Month. Here's the Pipeline.

350 companies, 4 AI platforms, ~$30 in API spend, 4 hours of compute. The architecture of the multi-API AI visibility scanner that produces the GSS benchmarks.

30 Apr 2026

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