10Fold Research Shows There is a Vertical Divide in B2B Content Readiness

New study finds large differences between marketing priorities and approaches based on geography, revenue, and industry focus

Key findings:

• 91% of marketers in specialized technology markets reported larger content budgets
• Only 4% of respondents said their content is fully adapted for AI search
• IoT marketers are ahead of other industries with 75% or more of their content already updated for AI search

SAN FRANCISCO--(BUSINESS WIRE)--10Fold, a leading B2B integrated communications and content agency, today released the second part of its 2026 B2B content marketing research, “The Vertical Divide in AI Content Readiness: How B2B Tech Sectors Are Adapting Differently to AI Search.” The report reveals that while AI-generated search and answer engines are reshaping content marketing across B2B technology, industries, geographies and company stages are adapting in meaningfully different ways.

The study, commissioned by 10Fold and conducted by Sapio Research, surveyed 400 senior B2B technology marketing decision makers across the United States and Europe to determine how marketing leaders are adapting content strategies, budgets, team structures, and governance policies considering adoption of AI and AI-search.

10Fold’s first content report, “The Visibility Reset: How AI Search Is Changing B2B Content Strategy,” showed that AI-generated search and answer engines have become a leading content distribution channel, with B2B marketers increasing investment in content planning, development, distribution and performance analysis. The new report builds on those findings by examining how responses differ by industry, geography and revenue stage.

“AI search has created a common mandate for B2B marketers, but not a common playbook,” said Susan Thomas, CEO of 10Fold. “A cybersecurity company has different trust and governance requirements than an AI infrastructure company. An energy technology company may need stronger citations and buyer education. An enterprise software company may need more role-specific content across a long buying cycle. The winning content strategies will be the ones that reflect the buyer behavior, risk profile and proof requirements of each market.”

Industry-Specific Tech, IoT and AI Companies Are Investing Fastest

Content investment increased broadly across B2B technology, but the report found that some sectors are moving faster than others. Industry-specific technology companies, including specialized technology markets such as fintech, manufacturing technology and other vertical-market technology providers, were most likely to increase content budgets, 91% reporting they received a larger budget for content.

The same pattern appears in those reporting additional resources. Eighty-nine percent of Industry-specific tech companies were also most likely to report more content marketing resources, including team, tools or agency support.

The findings suggest that companies with complex buyer education needs are not using AI as a reason to increase investment to make content more discoverable, credible, and useful in AI-powered environments.

Very Few Seem to be Fully Ready for AI Search

Although AI search is widely recognized as important, content readiness remains limited across the different markets. Most respondents overall, 41%, said only 25% to 49% of their content has been created or updated with AI-driven search in mind. Only four percent said their content has been fully adapted for AI search.

The data on the industries shows no sector appears fully prepared. IoT companies stood out as those most prepared, with 10% saying 75% or more of their content has been updated.

Company stage also matters. Companies with less than $10 million in revenue were least prepared, and companies with $1 billion or more in revenue showed stronger readiness, with 47% saying at least half of their content has been updated.

AI Risks – Including AI Content Governance and Quality Control

The AI content risks differed by industry. AppDev / DevOps marketers cited factual accuracy as a barrier, reflecting a need for technical precision for buyers evaluating products based on architecture, interoperability, infrastructure and performance claims.

Cybersecurity marketers’ top barrier was brand voice or tone, followed by lack of clear measurement. They were also the most likely to lead with formal AI content policies. From a policy perspective, IoT companies followed closely along with AI / GenAI / Big Data companies.

The study also found that content quality-control risk is not evenly distributed. Energy companies were the most likely industry group to have only spot checks or no formal review process for AI-developed content. This risk also applies to companies with less than $10 million in revenue.

AI Visibility Tactics Differ by Industry

The report also found that each sector was leaning into different discovery signals. AI / GenAI / Big Data companies appear focused on differentiation through product or solution explainer content, expert bylines and media coverage. AppDev / DevOps companies also prioritized product explainers but placed greater emphasis on original research or proprietary data and securing expert bylines.

Cyber marketers’ preference was publishing comparison content, followed by structured data / schema markup and research. All align with buyers’ preferences for proof points and validation.

Geography Adds Color: U.S. Invests, France Sees Lead Quality Gains, Germany Prioritizes Governance

The study found that geographic differences are useful, but secondary to the industry story. The U.S. stood out for content investment and prioritizing AI visibility but cited proving ROI as a top content challenge, suggesting increased investment is bringing pressure to demonstrate impact. Whereas France prioritized lead quality and content performance and seemed to have benefitted in lead quality. Germany also ranked discovery and leads as top priorities but cited compliance as a top challenge. The UK showed slower signs of readiness.

Download the Full Report

To view the complete findings of “The Vertical Divide in AI Content Readiness: How B2B Tech Sectors Are Adapting Differently to AI Search,” please visit: https://info.10fold.com/2026-content-report-part-2.

Research Methodology

10Fold commissioned Sapio Research to survey 400 senior B2B technology marketing decision makers across the United States, France, Germany and the United Kingdom in April 2026. Study participants were also segmented by revenue size and industry focus.

About 10Fold

10Fold is an integrated B2B tech communications agency that helps clients build brand value, increase market visibility and connect communications programs to measurable business improvement. The agency combines industry fluency, integrated systems, data-driven insights and real-time measurement to help B2B technology clients reach buyers, talent and investors.

10Fold supports clients across earned, owned, paid and shared channels with account teams that are trained, tested and aligned by technology domain to support complex B2B industries.

With 50+ national awards, 10Fold is recognized for helping clients create communications programs that are measurable and built for business impact. For more information, visit 10fold.com and follow 10Fold on LinkedIn and X.