If your product isn't pulling its weight as a marketing asset, your stack is being summarized away, and your ads team still clicks through dashboards, you're already behind.
This week's edition covers:
- Kevin's Take: why your product itself — not your campaigns — is becoming the marketing asset that matters
- The Signal: the martech landscape just flatlined at 15,505 tools — with nearly 10% churning in a single year, plus the AI interface quietly reshaping your stack
- Tools & Tactics: collapsing the paid ads workflow into one AI interface, and a data model that fixes ABM account blindness
- Quick Links: staying human as AI floods the feed, and why more agents means more work, not less
Kevin's Take
The product itself is the marketing asset now
I read this Rand Fishkin piece on inimitable product and it really made sense to me, because his central claim is that "make great content" is dead as a growth strategy, that Google's AI-driven future no longer rewards indexable content the way it did, and the new moat is a product competitors literally cannot copy paired with marketing of that uniqueness. I think he's exactly right, and we've been living this shift inside Mighty and True for the better part of a year now.
The old world of B2B marketing was that you'd build a content engine, write the thought leadership blog posts, rank on Google for the bottom-of-funnel keywords, and let the SEO compound over time. That whole motion assumed there was an indexable web where great writing would get surfaced and clicked. That web is collapsing in front of us.
What's replacing it, in my experience, is a world where the product itself has to do the storytelling, because the only thing AI summarizers and agents can't flatten into a generic answer is something genuinely unique that you've built.
For us at Mighty and True, the inimitable thing is the work itself — the strategy, the systems, the results — and Flow is how we make it tangible. It's the customer dashboard we re-platformed onto a Hono V2 Railway stack with Supabase, where clients see project status, proof creative, capacity, and run pricing scenarios with us in real time. Flow isn't a blog post. It can't be summarized away by ChatGPT. It either exists at your agency or it doesn't, and when clients experience it they immediately understand what makes us different in a way that no '10 tips for B2B demand gen' article ever could.
The pivot Rand is describing is the pivot I think you need to make right now, which is to stop pouring budget into content that AI will eat and start pouring it into building product surface area that's genuinely yours. Then you market the uniqueness of that product. If you're at an agency that means building tools, dashboards, skills repos, vibe-coded internal applications that your customers can actually touch. If you're at a SaaS company it means leaning into the weird, opinionated features your competitors won't copy. I believe if you internalize this in 2026, you're going to leave the content-mill crowd far behind. It's a wonderful world these days for anyone willing to actually build.
That's it for this week. Talk soon.
— Kevin Kerner, CEO, Mighty & True
The Signal
2026 Marketing Technology Landscape Supergraphic: Peak Martech Achieved! (Maybe) (3 min read)
Scott Brinker's 2026 Martech Landscape shows the market essentially flat at 15,505 products (+0.79%), with 1,488 additions and 1,367 removals signaling massive churn beneath the plateau. After 15 years of relentless expansion, martech may have hit its ceiling — with AI-driven content tools driving most of the turnover.
Why it matters: If your stack consolidation conversations have stalled, this is the data point you need to reopen them — the vendors in your portfolio are quietly being replaced at a rate of nearly 10% a year.
Plastic User Interfaces (1 min read)
Salesforce and others are going 'headless' via MCP, letting users update records through AI without ever opening the app. But Tunguz argues pure text/markdown interfaces aren't enough — richer, app-specific UIs will still matter even in an AI-mediated world.
Why it matters: If your martech stack is moving to AI-first interfaces, you need to decide now whether your team interacts with tools through chat, custom UI, or both — because that choice reshapes adoption, training, and vendor selection.
Tools & Tactics
Building an AI-Native Paid Ads System (1 min read)
Jonathan Martinez walks through running a paid ads operation inside Claude, treating the LLM as the central interface for campaign management, analysis, and optimization. The post outlines a practitioner workflow for an AI-native ads system rather than bolting AI onto existing tools.
Why it matters: If your paid team is still toggling between dashboards, this is a blueprint for collapsing your ads workflow into a single AI interface — and a preview of how your competitors will run media next year.
🕵🏻♂️ Account blindness (1 min read)
Andrei Zinkevich lays out five pillars of account data B2B teams need to collect to escape generic ABM, plus how to translate buying signals into the next personalized CTA for each account. It's a practitioner framework for moving from list-based ABM to signal-driven engagement.
Why it matters: If your ABM program is still firing the same nurture at every account in the ICP, this gives you a concrete data model to make your next touch actually relevant to where each account is.
Quick Links
Worth Reading
- Choosing to Stay Human — Ethan Mollick argues that as AI-generated content floods social platforms with homogenized patterns, the deliberate choice to keep human voice and craft visible becomes both a diff (via Ethan Mollick)
- The AI paradox: More automation, more humans, more work | Dan Shipper — Dan Shipper argues most knowledge work will soon happen inside agent environments like Codex and Claude Code, with every agent requiring human supervision — driving more work, not (via Lenny Rachitsky)
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