B2B buying groups now say thought leadership matters more as AI tools take over more of their research. A 2026 Edelman and LinkedIn survey of 1,135 professionals found 82 percent rate it more valuable. That’s good news for account-based marketing. Here’s the catch: most of that influence happens somewhere your reporting can’t reach.
Key takeaways:
- 82 percent of B2B decision-makers say thought leadership is becoming more valuable as AI becomes a common source of business answers, per Edelman and LinkedIn’s 2026 survey.
- 89 percent of buyers who share thought leadership do it through private channels, email, direct messages, or work chats, not public posts.
- 51 percent of B2B buyers started their 2026 research with an AI tool, up from under 30 percent a year earlier, according to Precis.
- Only 11 percent of B2B organizations structure their content so AI discovery tools can find it, per a 10Fold study cited by DesignRush.
Why Do B2B Buying Groups Say Thought Leadership Matters More Now?
Buyers trust thought leadership more because AI search strips away the sales pitch and leaves the substance. In Edelman and LinkedIn’s survey, 84 percent of B2B decision-makers said they used AI to summarize thought leadership while evaluating vendors, and 76 percent said that content helped them judge whether a vendor actually understood their problem. Here’s what I’d take from that: when a chatbot condenses your white paper into three bullet points, vague claims disappear fast. Specifics survive the summary. Fluff doesn’t.
The flip side is blunt. Edelman found 59 percent of final decision-makers said a vendor’s weak or missing thought leadership helped knock them out of consideration. That’s not a brand awareness problem anymore. It’s a shortlist problem, and it won’t show up in a brand-lift study.
Where Does That Influence Actually Happen?
Mostly where you can’t track it. Edelman and LinkedIn found 89 percent of buyers who passed along thought leadership did it through email, direct messages, or internal work chats, not LinkedIn posts or comments. Only 67 percent said they’d ever shared it publicly at all. Seventy-three percent said they shared privately because the research or data was genuinely useful to a live decision, not because they wanted an audience.
This is the part ABM dashboards miss entirely. Your champion forwards the report to the CFO in a Slack thread, and you’ll never see it. There’s no link click, no form fill, no UTM parameter. AI tools can score a buying group’s intent, but they still can’t see a PDF attachment moving between coworkers.
What Is AI Search Doing to the Research Phase?
It’s moving research earlier and making it solitary before it’s ever a group activity. Precis reports that 51 percent of B2B buyers started their research with an AI tool in 2026, up from under 30 percent in 2025, and that 60 percent now use AI somewhere across the full purchase process. Between 65 and 70 percent of those queries end without a single click, because the AI overview already gave a complete answer.
Not every number agrees on how far this has gone. Forrester-cited research puts overall AI usage across the buying process as high as 94 percent, well above Precis’s 60 percent figure, likely because the two measured different things: any AI touchpoint versus active AI-led research. The direction is the same in both. Up, fast.
That means an individual buyer can form an opinion, build a shortlist, and partly decide before the buying group ever sits down together. The group conversation that ABM has always been built to win now starts after a lot of the thinking is already done alone.
What Does This Mean for ABM Programs?
| Old assumption | 2026 reality |
|---|---|
| Buying groups research together, then meet | Members research alone with AI, then meet already opinionated |
| Thought leadership succeeds if it drives traffic | Thought leadership succeeds if AI can summarize it and people forward it privately |
| Visibility means website sessions and form fills | Visibility means showing up inside an AI answer and inside a private forward |
So is ABM broken? It isn’t, not exactly. Buyer research already tends to land before the deal cycle officially starts, and this just pushes that earlier still. The real problem is narrower: most ABM reporting still measures the public, trackable version of influence, while 89 percent of the real sharing happens somewhere that reporting doesn’t look.
What Should ABM Teams Do About It?
What to do:
- Write content built to survive an AI summary. Lead with the specific number or finding, not the setup.
- Ask champions directly whether they forwarded anything internally, instead of assuming silence means no interest.
- Audit whether your key pages are even citable. DesignRush cites a 10Fold study finding only 11 percent of B2B organizations structure content for AI discovery.
- Treat a flat traffic chart next to a rising close rate as a signal, not a contradiction. It may mean private sharing is working.
FAQ
What is a B2B buying group?
A B2B buying group is the set of people inside a company, often spanning procurement, finance, legal, and the actual end users, who weigh in before a purchase gets approved. ABM programs target the whole group, not just one buyer, because any one member can stall a deal.
Why is thought leadership becoming more important as AI search grows?
AI tools now summarize vendor content for buyers before they ever read it directly. Vague marketing copy doesn’t survive that summary well, but specific, well-evidenced thought leadership does, which is why Edelman and LinkedIn found 82 percent of buyers now rate it more valuable.
Does AI search mean account-based marketing is dead?
No. It means the research buying groups used to do together now partly happens alone, earlier, through AI tools. ABM still works, but programs that only measure public clicks and form fills aren’t seeing most of what’s actually happening.
How can marketers track private thought-leadership sharing?
They mostly can’t, not directly. The practical fix is asking champions in sales calls whether they’ve shared anything internally, and treating private sharing as implied whenever deal velocity improves without a matching rise in trackable site traffic.
Sources: Edelman and LinkedIn’s 2026 B2B Thought Leadership Impact Report, a survey of 1,135 business professionals across seven markets, as reported by Contentgrip. AI search adoption data from Precis. Forrester and 10Fold research as reported by DesignRush. Figures reflect surveys and estimates current as of November 2026 and are vendor and analyst reported, not independently audited.