B2B PR: Sarah Chen’s 2026 AI Search Shift

By 2026, a lot of B2B companies are in a new kind of fight for visibility. Take Sarah Chen, VP of Marketing at NexusTech Solutions, a B2B SaaS company that does supply chain optimization. For years, her PR playbook was simple: get placements in industry trades, write thought leadership, and get execs on stage at big shows. The content was solid, well-researched, and worked by all the old metrics. But their AI search visibility was flatlining, and Sarah knew her team needed entirely new B2B PR strategies to fix it.

Sarah saw a worrying trend. Prospects were turning to conversational AI like Google’s Gemini and Microsoft’s Copilot, and even niche industry AI tools, for their initial research. These systems weren’t just spitting out lists of links. They were synthesizing information, giving direct answers, and recommending solutions before a user ever even visited a website. All of NexusTech’s perfectly crafted whitepapers and case studies, while still important, just weren’t getting picked up in these AI-driven searches. “Our content is excellent,” Sarah would say in meetings, “but if an AI can’t parse it, if it can’t pull out the core value for a direct answer, it’s basically invisible.” The problem showed a huge gap between old-school PR output and what AI search actually needs. NexusTech had to find a way to get its expertise in front of the right people when the gatekeepers were intelligent synthesizers, not simple keyword algorithms.

Sarah’s team’s first instinct was just to do more SEO, optimizing for long-tail keywords and tweaking the site structure. Those things weren’t wrong, but they missed the real point about AI’s ability to interpret. AI models are looking for context, authority, and straight answers to complicated questions, going way beyond simple keywords. NexusTech’s content, though detailed, made you click around and read a lot to find the specific piece of info an AI was trying to grab. A recent eMarketer study drove the point home, showing that by 2026, over 60% of B2B decision-makers would be using AI search tools at the start of their research, a massive jump from just a couple of years ago. That statistic convinced Sarah they needed a radical change.

Sarah launched what she called an “AI Content Audit.” This wasn’t about keyword density at all. It was about forcing themselves to read their existing content from a machine’s point of view. They used their own internal AI tools to query their articles, asking the same questions a prospect would. The results were pretty sobering. The AI could give a summary, sure, but it consistently missed the nuanced differentiators and failed to pull specific data points that were buried three paragraphs deep. The content, written for a human reader, told a story instead of giving a direct, answer-first format.

Their first big strategic change was to create “AI-first” content modules. They stopped writing long articles that started with a problem and slowly built to a solution. Instead, they started building out small, fact-based answer blocks. Every block hit one specific question about supply chain optimization. So, instead of one article on “The Benefits of Real-time Inventory Tracking,” they’d create a specific module answering “What are the immediate cost savings of real-time inventory tracking for SMBs?” and another one for “How does real-time inventory tracking integrate with existing ERP systems?” These modules were built for clarity and directness, making them much easier for an AI to digest and pull from.

This new approach also changed how they dealt with media relations. In the past, PR was about getting an article published in a journal. Now, the goal was to make sure those publications, and NexusTech’s own site, became the go-to authoritative sources for AI queries. This meant working with journalists to help structure the content in a more AI-friendly way, with clear headings, bullets, and summary boxes that a model can easily parse. They also got serious about schema markup, explicitly tagging content for different entities and relationships to give the AI the structural clues it needed.

One big question was how to get this AI-optimized content seen outside their own channels. This is where Sarah started looking at new digital marketing tactics, zeroing in on platforms where B2B buyers were consuming new kinds of media. Her team figured out that their target audience, C-suite execs and supply chain managers, were spending more and more time on Over-The-Top (OTT) streaming services, using them for professional development and industry news, not just movies. They had to find a way to get their content in front of those eyeballs, but without being intrusive.

That search led NexusTech to Moburst, a digital marketing agency with a reputation for reaching niche audiences. With Moburst’s OTT Advertising service, NexusTech could push its video-based content modules and short expert interviews out across a handpicked network of streaming platforms. For Sarah’s team, the process was simple: Moburst helped them pinpoint the exact OTT channels and shows their target audience watched, then ran targeted campaigns with NexusTech’s AI-friendly video explainers. This let NexusTech get around the traditional PR bottleneck of earned media and put their authoritative content right where their audience was already watching. It was a smart move that amplified their AI-first content work, giving them visibility across a much wider digital space than just search.

Sarah also knew that for AI search, being seen as an undeniable authority was everything. AI models are programmed to favor information from sources they see as highly credible. So, they doubled down on getting expert contributions. This meant getting respected figures from the supply chain world, along with their own people, to endorse or add to NexusTech’s content. They started asking university professors, industry analysts, and even happy customers to do short video interviews and written Q&As, all designed for easy AI digestion. These pieces were then carefully cited and linked back, building a web of credibility that AI algorithms would register as a strong authority signal.

Another key piece of the puzzle was constantly monitoring the AI search results. NexusTech bought specialized AI search analytics tools to see which of their content was getting surfaced by different AIs, what questions it was answering, and even the tone of the AI’s summaries. This feedback was gold, letting them tweak their content strategy on the fly. For instance, they found out that even though their big article on “Predictive Analytics in Logistics” was complete, AI tools were mostly just pulling the bits about “reducing shipping delays.” That single insight led them to create a short, dedicated content module on that one sub-topic, which immediately shot up in its AI search performance.

The change wasn’t easy. Getting content creators to switch from a storytelling mindset to an answer-first one took a lot of training and a real culture shift in the marketing department. At first, some people pushed back, saying that a bunch of structured content would feel robotic and lose its human touch. Sarah’s response was that the goal was to layer the narrative, not get rid of it. The AI-first modules were the foundation to get found, while the deeper articles and case studies were still there to provide rich context for anyone who clicked through. You need both, because they serve different parts of the buyer’s journey.

After a year, the results were clear. According to their Google Analytics 4 data, NexusTech saw a 35% jump in organic traffic that they could attribute directly to AI-generated snippets and answers. Even better, the sales team reported that the quality of their leads had improved. Prospects who came in through AI search already had a good grasp of what NexusTech did, which led to much more productive first calls. “It’s like the AI is doing our initial qualification,” Sarah noted. “They show up with specific questions already answered, ready to talk implementation.” It was proof that adapting B2B PR for AI search works, pushing you from just getting seen to actually generating real engagement and leads.

The NexusTech story shows what B2B PR has to do in 2026. Getting visibility in the age of AI means you have to proactively rethink your content from the ground up. You have to create authoritative, direct answers to specific questions, and you should look at how services like OTT Advertising can get your message in front of the people who matter.