Tag: Greg Kihlström

This article was written for CMSWire by Greg Kihlström. What share of the sources behind your brand’s AI mentions point back to your own website? Chances are, that number is declining, catching many by surprise.

This article was written by Greg Kihlström for MarTech. You’re likely deep into your 2027 planning these days, so headcount, budget, and the people needed to execute your big plans for the year are likely top of mind. Beyond people, you also need to consider data and platform needs.

This article was written by Greg Kihlström for MarTech. You wouldn’t purchase a forklift to carry a coffee cup. Yet that’s effectively what happens when enterprises apply complex AI systems to tasks that don’t need it. As AI adoption increases, it is essential to understand the costs of running…

Gartner reports inference spending passed training spending in 2026. For CMOs, that makes verification a recurring operating cost on someone else’s meter. Here is how to price it and which instruments to own.

This article was written by Greg Kihlström for CMSWire. Nobody says “electric light” anymore, and as far back as 2017, Andrew Ng wrote that AI is the new electricity. The electric qualifier wasn’t needed anymore once the capability was taken for granted, and “AI-powered” is on the same trajectory.…

Point-of-purchase evidence has a shelf life. PubMatic, Makeable, Google, and METR each pushed AI verification from a buying decision into a continuously running function. What CMOs should own, instrument, and write into contracts.

Gartner, IAB, Cloudflare, and a candid APAC agency panel all landed in the same week on one question: what evidence quality does a number need before a CMO can spend against it. A practitioner’s read on grading AI measurement.

This is the dimension the Brand Visibility for Agentic Commerce (BVAC) framework calls Latency and Data Freshness, and it’s the one most likely to be doing real damage in a brand that has done everything else right. It isn’t about whether the data exists — that’s Attribute Completeness, a…

New research puts a measurable ceiling on multi-agent coordination: collective accuracy peaks near 16 agents and declines after. Why verification cost, not compute, now governs how far marketing teams can scale agentic execution.

Enterprise marketing reports 70% AI deployment and 85% missed launch dates. New research from Knak, StackAdapt, Algolia, and Progress Software shows AI capacity landed on drafting while approvals, assembly, and coordination still set the calendar.