Why B2B Brands Are Almost Entirely Invisible to AI (And What the Exceptions Did Differently)

When most people think about AI visibility, they picture consumer brands: high street retailers, food brands, household names. But our data reveals that the AI visibility problem is most severe in B2B and industrial sectors, where the commercial stakes are often far higher. Across 40 businesses and 309 competitors in our dataset, B2B industrial and technical brands consistently scored the lowest AI visibility. Several scored 0% across every prompt. But the story is not all bleak. A handful of B2B brands achieved remarkably high scores, and what they did differently is instructive. The B2B Visibility Desert Here is what we found when we ran 30 commercially-focused prompts for B2B and industrial businesses: A commercial lighting manufacturer: 0% visibility on both ChatGPT and Google AI Overview. Fourteen competitors were tracked alongside them, and several of those competitors scored above 50%. A machine vision systems provider: 10% on ChatGPT, 3% on Google AI. In a market where a single system can cost six figures, AI was recommending their competitors in 27 out of 30 buying-intent queries. A facilities management software company: 0% on ChatGPT. Meanwhile, a competing FM platform scored 100% on the same prompts. A precision measurement technology firm: 12% on ChatGPT, 0% on Google AI. Competitors in the same space scored over 50% on ChatGPT. A digital agency: 4% on both platforms. Barely visible despite an active content marketing programme. The pattern is clear. In B2B markets, the majority of brands are invisible to AI, and their competitors are filling that gap. B2B brands consistently score lower than consumer brands in AI visibility Why B2B Brands Struggle More There are structural reasons why B2B companies face a steeper AI visibility challenge: 1. Technical jargon replaces clear entity definitions. B2B websites tend to describe their products using internal terminology and acronyms. AI models struggle to map these to the natural language buyers actually use.