MarTech Podcast ™ // Marketing + Technology = Business Growth · I Hear Everything

Scott Brinker’s 2026 Martech Predictions Unpacked

·47 min·3 clips

Scott predicts 2026 will be 'AI for customers' and not 'AI for marketers.'

The episode opens with a practical question: if AI is doing more of the discovery and research work, what is a brand’s website for now. That sets up the larger issue running through the whole conversation: how marketers think about visibility when more of the interaction happens inside AI assistants. Scott Brinker’s point is not that content has stopped being used. It is that marketers can no longer see the top of the funnel as clearly as they used to. His view is simple enough, but not comforting: content marketing still has a job to do, yet the way teams measure it and the expectations they attach to it need to change. Benjamin keeps the pace brisk and keeps pressing for the operating logic under the headline. The conversation then shifts to the year’s favorite labels. They revisit prompt engineering, agentic workflows, and the idea that 2026 may belong to context engineering. Brinker treats context engineering as an expansion of prompt engineering, not a replacement for it. The point is not only to write better instructions. It is also to give the AI better access to data and better surrounding information. That matters because the systems are becoming more agentic and better at using what they are given. The episode keeps comparing new AI habits to older marketing habits, partly to see what is actually new and partly to test whether this is a real shift or just another naming cycle. It also comes back to AEO and SEO as a useful parallel. AEO is treated as an extension of search thinking, not a clean break from it. Attribution keeps resurfacing too. If more of the journey happens inside an assistant, what counts as a signal and what counts as noise. That makes the episode feel less like prediction theater and more like a conversation about adaptation. The host pushes for direct answers, and the guest gives a workable model for how marketing teams should adjust their mental frame. The result is a grounded, forward-looking discussion about measurement, data access, and the new shape of brand discovery. It keeps returning to one basic point: the work is not over, but the scoreboard has changed.

As heard by us

A clear martech discussion that centers AI discovery, AEO, and measurement.

This episode treats martech as a straightforward problem: AI assistants are changing how discovery works, and that makes top-of-funnel visibility harder to track.

Read the full review in PlayNext →

Why you'd press play

You want a clear read on how AI is changing martech before your next planning cycle.

Read the full recommendation in PlayNext →

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