Ask a room of marketers whether they have a content strategy and every hand goes up. The 2026 B2B Content and Marketing Trends research from Content Marketing Institute and MarketingProfs, fielded among 1,015 B2B marketers between 24 June and 14 August 2025, puts the figure at 97%. Only 3% admit they do not have one. That number is the whole problem: when a practice becomes universal, it stops explaining why a handful of content programmes compound and most quietly stall.
Key takeaways
- 97% of B2B marketers report having a content strategy, so having one is no longer an advantage.
- 40% name creating content that prompts action as their single biggest challenge.
- Pew found a click on a search result in 8% of Google visits with an AI summary, against 15% without.
- AI-powered tools top the 2026 investment list for 45% of respondents.
Having a strategy is no longer the differentiator
The useful question in 2026 is not whether a strategy exists but whether it constrains anything. In the same CMI and MarketingProfs study, the challenges marketers report are all execution problems rather than planning problems: 40% struggle to create content that prompts the action they want, 39% cite resource constraints, and 33% cannot measure content effectiveness. None of those is solved by another planning workshop.
What we see in audits is a familiar shape. A deck exists. It names three personas, five pillars and a tone of voice. It commits to nothing that could be falsified next quarter, so nothing in it ever gets revised, and the team defaults to filling a calendar. A strategy document that has never caused anyone to cancel a piece of content is a mission statement wearing a costume.
Write the refusal list before the calendar
The fastest way to turn a plan into a strategy is to force four decisions and put them on one page. Each of them can be wrong, which is the point.
- Who is this for, specifically enough to exclude people. “Marketing leaders” is not a decision. “Marketing leaders at companies who have just hired their first in-house writer” is.
- What job is content doing. Shortening a sales cycle, reducing support tickets and building a subscriber base are three different jobs that produce three incompatible calendars.
- What we will not publish. Naming the formats, topics and keyword clusters you are deliberately leaving to competitors is the only part of the exercise that creates capacity.
- What evidence would make us stop. Agreeing the failure condition in advance is what stops a programme running for two years on the strength of hope and impressions.
SMART goals still help at the reporting layer, but they describe the target, not the bet. The bet is the sentence that begins “we think this audience will do this, because of this.”
The distribution assumption most plans still carry
Almost every content plan we read assumes that a good page earns a visit. That assumption is weakening in a way worth building into the plan rather than discovering later. Pew Research Center, publishing on 22 July 2025 from the browsing data of 900 US adults, found that in March 2025 around 18% of Google searches produced an AI-generated summary. On visits where a summary appeared, users clicked a traditional search result in 8% of cases, against 15% where no summary appeared. Clicks on links inside the summary itself happened on 1% of visits.
Two caveats matter before anyone rewrites a roadmap. The data describes US consumer search behaviour in a single month, not B2B research behaviour, and the picture has kept moving since. The direction, though, is hard to argue with: a share of the value your content creates will now be captured without a session ever landing on your site. Planning for owned audiences, where you hold the relationship rather than rent it, is a rational hedge. It also carries an obligation, since a mailing list built without proper consent and a working unsubscribe route is a liability under GDPR in Europe and the CAN-SPAM Act in the United States, whatever it does for reach.
Channels are jobs, not a checklist
Choosing where to publish gets easier once each platform is assigned a job it can actually perform. The table below sets out the working assumptions we start from. They are editorial judgements from our own reading of these platforms rather than measured benchmarks, and any team should expect to overturn one or two of them with their own data.
| Channel | Job it does well | Job it will not do |
|---|---|---|
| Building recognition for named individuals inside a B2B buying committee | Carry a brand with nothing to say beyond its own announcements | |
| Showing work that reads visually, including process and craft | Explain a considered purchase that needs several hundred words | |
| Reaching an existing community and older cohorts at scale | Generate organic discovery for a brand starting from zero | |
| TikTok | Testing hooks quickly, at low production cost, against a cold audience | Behave like a distribution channel you control or can forecast |
The discipline is subtraction. A team of two covering four platforms is not running a multi-channel strategy, it is running four undernourished ones.
Tooling decides speed, never direction
The stack question gets far more airtime than it deserves. A publishing platform such as WordPress, a scheduler such as Buffer, an analytics layer such as Google Analytics and a search visibility tool such as SEMrush between them cover most of what a small team needs. What none of them supplies is the judgement about who you are writing for and what you are refusing to publish.
AI has moved from novelty to plumbing on the same logic. In the CMI and MarketingProfs data, 95% of B2B marketers say their organisation uses AI-powered applications, yet self-reported maturity is clustered low: 20% describe themselves as exploratory and 48% as developing, while only 5% say advanced and 3% leading. Adoption is close to universal, competence is not, and 45% still put AI-powered tools at the top of their 2026 investment list. We have written separately about which AI tools actually earn a place in a marketing stack, and the short version is that they compress production time without touching the decisions above.
Measurement that survives a budget review
Given that a third of marketers cannot measure content effectiveness, the practical move is to measure less, earlier, and with the counterfactual attached.
Pick one primary metric per asset class rather than one per article, and write down what the number would have been without the content. A blog cluster judged on assisted pipeline over two quarters tells a story a finance director can interrogate. The same cluster judged on sessions tells a story that collapses the moment someone asks what a session is worth. Reporting a soft number confidently is how content budgets get cut in the year after they get approved.
Questions we get asked
How long before a content strategy shows results?
Long enough that you need an interim signal you trust. Set one leading indicator, such as returning readers or replies to a newsletter, and agree in advance what level of it justifies continuing past two quarters.
Does the strategy have to be documented?
It has to be written down somewhere a new hire can read it in ten minutes and correctly guess what you would reject. Whether that lives in a deck, a wiki page or a single shared document matters much less than whether it names refusals.
Should we publish less?
Usually yes, but only if the freed capacity goes into distribution and updating rather than back into production. Cutting output and doing nothing with the time is just a smaller version of the same programme.
If we had to pick one place to start on a stalled programme, it would not be the calendar or the tooling. It would be the page that lists what the team has agreed not to write, because until that page exists there is nothing for anyone to disagree with.
Content only pays off where it meets the buyer
Mapping the moments a decision actually gets made is what turns a publishing plan into a commercial one.
Sources: Content Marketing Institute and MarketingProfs, 2026 B2B Content and Marketing Trends research, sponsored by Storyblok, fielded 24 June to 14 August 2025 among 1,015 B2B marketers drawn from 1,229 global responses, for the figures on strategy prevalence (97%), AI application use (95%), maturity stages, 2026 investment priorities (AI-powered tools 45%) and top challenges (40%, 39%, 33%). Pew Research Center, published 22 July 2025, based on the browsing data of 900 US adults for March 2025, for the share of Google searches producing an AI summary (around 18%) and click rates of 8% with a summary against 15% without, and 1% on links inside summaries; these figures describe US consumer search and do not transfer directly to B2B research behaviour. Channel assumptions in the table are our own editorial judgement and are not survey findings. Updated August 2026.
