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I’ve found the best marketing AI content for you this week — so let's dive in:
🔥 What's In This Issue
📊 15,000+ tools and the great AI consolidation — the 2026 Martech Supergraph is out, and AI is simultaneously crashing the gates and consolidating them.
🤖 "Is our AI VP of Marketing really a VP?" — Jason Lemkin asked his AI CMO this question, and the answer will make you rethink your strategies and tactics.
📺 CMO Jean English goes to the front lines — her battle report on what's actually working (vs. what's hype) in enterprise AI marketing.
🔥 Your AI agents are quitting too early — Oktopost reveals the #1 design flaw killing B2B marketing automation before it delivers results.
🛒 Buyers are automating their jobs away — 9 procurement workflows where AI agents are replacing people.
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🆕 Insights & News
2026 Marketing Technology Landscape Supergraphic: Peak Martech Achieved! (Maybe)
Scott Brinker's landmark annual count now tops 15,000 marketing tools — and for the first time, AI is both inflating the number and triggering serious consolidation in the same breath.
TMW #276 | The Metered Marketer: The New Economics of AI-Based Martech Pricing
Seat-based SaaS pricing is giving way to usage-based and outcome-based models as AI enters the stack.
MiQ Report: B2B Marketers Must Replace Funnels With Flexibility
A new MiQ study finds that B2B buyers no longer follow predictable funnel paths — and the marketing frameworks built around those paths are breaking down.
B2B Buyer Journey Mapping: The Intent Maturity Curve for the AI Era
Madison Logic introduces a new framework — the "Intent Maturity Curve" — for mapping where buyers are in their decision process using AI-powered intent signals rather than traditional stage-based scoring.
Why "AI Productivity Gains" Is the Wrong Pitch for Every Stakeholder Above You
Contently argues that leading with "we'll do more faster with AI" is the quickest way to lose credibility with leadership. Here's a smarter framing built around quality, differentiation, and revenue that actually lands in the boardroom.
Advanced Account-Based Marketing (ABM): The New Operating Model for B2B Growth
ABM is growing up. This piece outlines a new operating model where AI-powered intent signals, cross-functional alignment, and real-time personalization replace the target lists and spray-and-pray tactics that defined early ABM.
Is Our AI VP Marketing … Really a True VP? We Asked Him
by SaaStr / Jason Lemkin | 5 minute read
SaaStr founder Jason Lemkin has been running one of the most closely watched experiments in B2B: deploying AI as VP Marketing and VP Customer Success — with real targets, real budgets, and genuine accountability.
This week, he turned the tables and asked the AI VP Marketing directly: do you consider yourself a true VP? The answer — and the candid follow-up conversation — is one of the most clarifying things you'll read about where AI-driven marketing leadership actually stands in 2026.
The verdict is nuanced: the AI excels at operational execution — output volume, speed, cost efficiency — but falls measurably short on the strategic judgment, organizational credibility, and narrative-building that defines VP-level leadership, suggesting the optimal frame is "AI as world-class Chief of Staff," not autonomous executive.
- AI handles content calendars, campaign briefs, and performance reporting autonomously — at a fraction of the cost
- Strategic brand positioning, cross-functional alignment, and board-level storytelling remain distinctly human territory
- The cost delta is stark: approximately $254/month vs. a typical $200K–$250K VP salary — but so are the capability gaps
- The most productive framing: AI as the world's fastest, most tireless Chief of Staff to Marketing, not the CMO
- Organizations running AI in leadership roles are learning faster than their peers — and publishing those learnings openly
🤖 Tools!
Hightouch Raises $150M with Backing from Goldman Sachs and Bain Capital
One of the year's biggest B2B martech funding rounds will fuel Hightouch's AI Decisioning product, which automates personalized audience segmentation and campaign orchestration at enterprise scale — without requiring a data engineering team to run it.
The Oktopost Claude Plugin: Turn AI Content into Governed B2B Social Campaigns
Oktopost launched a Claude integration that lets B2B social teams generate, review, and publish AI-written social content with built-in brand governance rails — satisfying legal and compliance without throttling content velocity.
OpenAI Adds Product Feed Ads to ChatGPT
OpenAI has expanded its ad offering with product feed ads inside ChatGPT to help B2B vendors surface during AI-assisted buying research. With ad CTRs outperforming traditional display, this nascent channel is worth watching closely.
Google Ads Adds Gemini-Powered Dashboards for Real-Time Campaign Insights
Google has embedded Gemini AI directly into the Ads interface, letting marketers query campaign performance in plain English and surface real-time insights without writing SQL or waiting for an analyst.
Hootsuite Launches Faster Insights and Smarter Workflows Built for Enterprise Scale
Hootsuite now includes faster AI-powered insight generation, enhanced workflow automation, and new capabilities designed specifically for enterprise B2B teams managing multi-brand and multi-region social media.
Twilio Brings Customer Engagement Workflows into Claude by Anthropic
Twilio's new Claude connector lets AI agents access and orchestrate Twilio's full customer engagement stack to build AI-driven communication sequences without custom API integrations or platform-switching.
WRITER Launches AI CMO Council to Lead the Agentic Marketing Revolution
WRITER has assembled a council of senior enterprise CMOs to develop standards and best practices for deploying agentic AI across marketing organizations.
Want to share a favorite tool with our readers? Let us know here.
📺 Video of The Week
Jean English | The AI Marketing Battle: A View from the Front Lines
CMO Confidential | ~42 minutes
Jean English, a veteran B2B CMO, delivers one of the most candid assessments of enterprise AI marketing you'll find — cutting through the vendor noise to share what she's actually seen work, stall, and surprise her inside large organizations.
She covers AI's impact across the full marketing function: content, demand gen, pipeline measurement, team structure, and the often-underestimated cultural transformation required to capture the value that everyone is promising.
If you're a CMO or senior marketing leader trying to build a practical AI roadmap — not just a slide deck about one — this is essential viewing.
- AI amplifies your strategy; it doesn't replace it — weak strategy gets weak AI outputs, only faster
- The biggest failure mode is deploying AI without measurement frameworks tied directly to revenue
- CMOs must lead the culture change around AI, not just the tool adoption
- The real competitive moat isn't the AI tool itself — it's the proprietary data and processes you feed into it
- Human + AI collaboration models are outperforming pure automation in demand gen across the board
📖 Tutorials
Your Claude AI Marketing Sounds Generic. These 8 Files Fix It.
If your AI-generated marketing copy feels generic, it's because your AI doesn't know your brand. This tutorial walks through the 8 reference files to load into Claude so it writes in your voice.
Get Started With AI in B2B Advertising: 5 Workflows to Unlock ROI
Speedwork Social breaks down five practical LinkedIn Ads workflows powered by AI — from audience research and creative briefing to bid optimization and performance reporting.
How to Build an AI Research Agent That Avoids Errors and Cites Sources
WRITER's team details the architecture behind building AI research agents that minimize hallucinations and maintain accurate attribution.
So What? How to Get Started with Hermes Agent and Autonomous AI Agents
Trust Insights provides a practical onboarding guide to Hermes, their open-source autonomous AI agent framework - including how to configure multi-step marketing tasks, grant tool access, and validate outputs before they go live in your workflows.
How to Use AI in Data Analytics: 6 Capabilities That Change Who Uses Your Data
Databox outlines six ways AI is putting campaign performance insights into the hands of non-technical marketers without requiring SQL, Python, or a dedicated data analyst.
A Marketer's Guide to 1:1 Hyper-Personalization at Scale
Optimizely walks through the architecture, data requirements, and content strategy needed to deliver genuinely personalized B2B experiences at scale — not just "you viewed X, here's Y," but deeply contextual personalization driven by behavioral signals and real-time AI decisioning.
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🤖 AI Prompts & Agents
Most AI Marketing Agents Don't Fail in B2B. They Just Stop Too Early.
Oktopost shows how to architect agents that keep running through the messy middle of real marketing tasks — and actually deliver results.
The Execution Gap: What AI Assistants Can Actually Do in Your Marketing Workflow
A clear-eyed reality check on what AI marketing assistants can and can't execute autonomously — and where the human handoff moments still matter most.
Setting Up Agentic AI For Success Part 1: Job Descriptions
Trust Insights explains why the first step to a successful AI agent deployment is writing a proper job description for the it.
Why AI Agent Adoption Is Creating Unseen Risk Across the Enterprise
As AI agents proliferate inside enterprise marketing stacks, a new class of risk is emerging: agents acting on stale data, crossing compliance boundaries, or triggering downstream actions with inadequate audit trails. This piece maps the risk landscape and what to do about it before it bites you.
New Research Across 5 Million AI Responses Just Revealed the Truth About LLM Search
Ava analyzed 5 million AI-generated responses to reverse-engineer how large language models select and cite content — revealing which signals actually drive brand visibility in AI-mediated search, and what B2B brands need to do differently to get included.
AI Use Case Discovery: Stop Automating the Fun Parts of Your Job
Optimizely offers a counterintuitive framework for AI adoption: instead of asking "what can AI do?", ask "what do I least want to do?" — then build your agent use case pipeline around those tasks first.
💳 From the Buy-Side
9 Procurement Activities AI Agents Will Replace
A direct, no-fluff breakdown of the nine procurement workflows — from supplier qualification and RFQ management to contract review and spend analysis — that AI agents are already automating in leading organizations.
AI as a Defining Force in Procurement Evolution
CPO Rising examines how AI is transforming the procurement function from a cost-control center into a strategic intelligence unit — and what that shift means for how enterprise buyers evaluate, shortlist, and select vendors.
❤️ Favorite Finds
B2B Brand Tracking for Small Teams: The Metrics That Actually Matter
The B2B Playbook breaks down how resource-constrained marketing teams can build a meaningful brand measurement program — capturing awareness, preference, and recall without a full research budget or expensive third-party measurement firm.
B2B Marketing Is Too Serious. Sam Senior Is Done With It.
Sam Senior joins GTMnow to make a compelling case that B2B's obsession with data, ROI, and rational messaging is actively killing the creative instincts that move buyers — and why the most effective B2B brands are the ones willing to be human, surprising, and occasionally funny.
Why Is Direct Mail Outperforming Email in Modern B2B Marketing with Kris Rudeegraap
Kris Rudeegraap (CEO, Sendoso) talks with Modern Revenue Strategies about the surprising renaissance of physical direct mail in an AI-saturated digital landscape — and shares compelling data on why a well-timed physical touchpoint is breaking through where digital is losing ground.
Autonomous Software Development at Enterprise Scale: Inside a 1,000-Developer Pilot
CxO Talk goes inside a 1,000-person autonomous developer pilot to explore how enterprise organizations are operationalizing AI at scale — with direct lessons for martech leaders navigating their own AI deployment decisions and internal stakeholder conversations.
📅 Events
The AI Conference Boom: Where (and How) to Show Up in 2026
Up-and-coming AI conferences to consider for the 2026 budget.
ANA Masters of B2B Marketing - June 3–5, 2026 (Chicago, IL)
Explore the future of brand value, account-centric strategies, and technical AI integration with global B2B CMOs.
Gartner Marketing Symposium/Xpo — Jun 8–10, 2026 (Denver)
CMO-level agenda on AI strategy, analytics, and customer experience.
MozCon 2026 — July 14, 2026 (New York, NY)
The world's most curated single-track SEO and AI search conference, drawing 1,500+ practitioners.
UNBOUND 2026 (formerly INBOUND) — Sep 16–18, 2026 (Boston, MA)
HubSpot's flagship go-to-market conference is back in Boston — and rebranded as UNBOUND to reflect the AI-driven, unified growth strategy era. Three days of keynotes, workshops, and hands-on sessions for marketing, sales, and RevOps leaders across every industry.
Content Marketing World — Oct 5–7, 2026 (Denver)
Deep-dive workshops on AI-enabled content ops, measurement, and governance.
MAICON 2026 (Marketing AI Conference) — Oct 13–15, 2026 (Cleveland, OH)
The only major conference dedicated entirely to AI in marketing — built for non-technical practitioners who want to understand, pilot, and scale AI across their marketing operations. Now in its seventh year, MAICON delivers the highest concentration of practical AI-in-marketing education you'll find at any event.
🍔 Feed You Next Week!
Thanks for making it to the end - it’s a lot to digest.
OTH, there is a lot of change afoot ;-)
I can't wait to share more insights with you next week!
How'd we do this week?
What should we focus on next?
PS - if you found this newsletter helpful, please share it with others.
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