From Episode 47 of Revenue Marketing Raw with Jeff Pedowitz and Dr. Debbie Qaqish
95% of B2B marketers now use AI. Fewer than 4 in 10 say it's actually improving performance. That's the headline from a new MarketScale study, and it's not an adoption gap. It's an execution crisis.
On this week's Revenue Marketing Raw, we took the stat apart. The short version: it was never the tools. Here's the longer version.
Because most teams are throwing it against the wall to see what sticks. There's no strategy, no planning, no prioritized use cases, no training, and no metric that defines what "working" even means.
Everyone got an individual license. Almost nobody got a plan. Organizations are making almost no investment in teaching people how to build use cases, write effective prompts, or design AI-powered workflows. Then leadership acts surprised when the survey says results are flat.
The failure runs at two levels. Tactically, practitioners are using AI as handed down instead of inventing uses that fit their actual work. Strategically, leadership isn't stepping back to ask how AI changes the business itself.
Debbie has a word for the gap between AI talk and AI results: jaw-jacking. Everyone cites the bumper sticker. "It's all about the data." "We're all in on AI." Then they don't change a single process.
Yes. This is the ABM wave all over again. Companies bought 6sense and Demandbase and convinced themselves they were doing ABM. They weren't. Marketing automation became an email blasting tool. Plenty of teams haven't updated their scoring models since 2005.
Marketers are approaching AI the same way they've approached every technology wave: buy first, think later. The technology changed. The operating behavior didn't. That's why 95% adoption produced under 40% results.
They're intentional. The teams getting real uplift, beyond just cheaper and faster, pick specific use cases, define the metric before they start, and measure the delta after.
They also do the unglamorous data work. Gartner puts the average B2B buying committee at 11.2 people. The winners build a data model that captures all eleven, not just the one contact sales attached to the deal. Then they build an intelligence layer on top.
And they sell the buying process, not just the product. If eleven people touch every deal, show your champion the map: here are the 20 questions InfoSec will ask, here's the ROI model finance wants, here's the comparison grid procurement needs. You've done this a thousand times. Your buyer hasn't. That's what customer-centric actually means.
While marketers were busy jaw-jacking, the ground moved. Roughly 68% of Google searches now end without a click. AI Overviews just hit 2.5 billion users. If you were on page one at the start of the year, you're getting pushed below an answer box that satisfies the searcher before they ever reach your site.
This is not a future trend. Website traffic is nosediving right now, and inbound is still the backbone of B2B demand gen. Yet AEO adoption is lagging badly.
Part of the problem is speed. Companies treat every AEO page like a standard web page: brand review, imagery, CTAs, committee approvals, one page a month. That's not AEO. Answer engines move fast. Once you're in rhythm, you should be publishing pages daily, then amplifying across channels. Writing for AI citation is a different discipline than writing for your website, and 20 years of SEO habits are hard to unlearn.
For the industries we serve, fintech, high tech, and complex B2B, it's at minimum a wake-up call. When 7 in 10 searches never produce a click, optimizing for clicks is optimizing for a shrinking surface.
At minimum, build net-new metrics. If you're one of the 6 in 10 who say AI isn't working, ask the harder question first: what outcome were you expecting? If there's no North Star KPI, the tool was never the problem.
Five moves from the episode:
Do those, and maybe when this survey runs again, the answer changes.
New bumper sticker, courtesy of Debbie: stop doing more with less. Do less with more, and make a revenue impact.
What percentage of B2B marketers use AI in 2026? 95% of B2B marketers report using AI, according to a 2026 MarketScale study. However, fewer than 4 in 10 say it's meaningfully improving performance.
Why does AI fail in most marketing organizations? Not because of the tools. The most common causes are the absence of strategy and planning, no prioritized use cases, no defined success metrics, weak first-party data, and near-zero investment in training teams on prompts and workflows.
How big is the average B2B buying committee? Gartner estimates the average B2B buying committee at 11.2 people, typically spanning the core buyer plus IT, InfoSec, procurement, legal, and finance.
What is zero-click search and why does it matter? Roughly 68% of Google searches now end without a click to any website, driven largely by AI Overviews, which have reached 2.5 billion users. Buyers get answers without visiting your site, which is collapsing traditional inbound traffic.
What is AEO? Answer Engine Optimization: structuring and publishing content so AI tools like ChatGPT, Google AI Overviews, Perplexity, and Claude cite you when buyers ask questions. It requires a faster publishing cadence and a different writing discipline than traditional SEO.
Revenue Marketing Raw drops every Tuesday. Jeff Pedowitz and Dr. Debbie Qaqish: two practitioners, 40+ years advising Fortune 500 CMOs, zero filter. Listen at pedowitzgroup.com/revenue-marketing-raw.