For years, B2B marketers have focused on achieving search rankings to drive traffic and generate leads. This manual is evolving rapidly.
Fifty-two percent of B2B technology marketers now view AI-generated search as their primary channel for reaching buyers, according to 10Fold’s new report, “The Visibility Reset: How AI Search Is Changing B2B Content Strategy.” Instead of clicking through search results pages, buyers get data by asking questions in AI-powered tools.
This change changes how content is discovered.
Visibility no longer depends solely on ranking first in Google. Increasingly, it comes down to whether AI systems recognize your content as credible enough to quote, summarize, or reference it in responses.
Credibility matters more than volume
AI has made content production easier, but marketers are realizing that more content doesn’t guarantee more visibility.
As generative AI floods the Internet with blog posts and similar explanations, differentiation becomes increasingly difficult. The report reveals that marketers are increasingly concerned about content quality, authority and visibility in cluttered AI-driven environments.
This is pushing brands to focus more on signals that AI systems can interpret as trustworthy. Media coverage, analyst endorsements, expert bylines, proprietary research, peer review sites, and influencer validation are becoming increasingly important as they build credibility.
The challenge is not to produce more content faster. The challenge is creating content that answers buyers’ questions better than competing sources.
This change may also explain why some marketers see a drop in website traffic while lead quality improves.
Traffic matters less than influence
One of the biggest concerns with AI-generated search is the potential loss of website visits. If buyers get answers directly from ChatGPT, Gemini, or Google AI previews, they may never click through to a company’s website.
But the report suggests that lower traffic doesn’t always mean lower performance.
About 42% of respondents said visibility and traffic increased over the past year, likely because their content was closely aligned with buyer questions and AI discovery models. Others have reported better lead quality, even with fewer visits.
The reason is simple. Buyers educate themselves before arriving at a supplier’s site.
This creates a new challenge for marketers measuring content performance. The question is no longer just how much traffic an article generates. Marketers also need to understand whether buyers discovered their expertise during the research process and whether that visibility influenced pipeline, sales conversations, or brand preference.
Marketers adapt content for AI discovery
B2B teams are already experimenting with ways to improve visibility in AI-powered search environments. The most common tactics include improving product explanations, answering role-specific buyer questions, and creating concise, quote-ready summaries. AI systems can easily surface.
The report suggests that there is no single solution to AI visibility. Success depends on a combination of technical structure, buyer relevance, authority and clarity. In other words, the future of B2B content may depend less on gaming algorithms and more on its ability to become the most credible answer in the room.
The full report can be found here. (Registration required)
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