A new report from InnovAit finds that 80% of B2B brands are effectively "AI-invisible" — meaning they fail to surface in AI-generated answers when buyers and researchers ask questions relevant to their products and services.

The figure is the headline finding of the InnovAit AI Report, an industry study published this week and picked up by WKOW. It quantifies a shift that search practitioners have tracked anecdotally since generative engines — ChatGPT, Google's AI Overviews, Perplexity and their peers — began mediating a growing share of commercial research queries.

What the report actually measured

According to the report, eight in ten B2B brands do not appear in AI-generated responses for queries tied to their category, offering or brand name. The finding positions AI visibility as a binary problem for the B2B sector: a brand either shows up when a large language model answers a relevant question, or it does not.

That 80% figure is a study result, not a search-engine statement. InnovAit is an analytics vendor, and the number reflects its own measurement of brand mentions across AI answer surfaces — comparable in kind to tool-based studies of AI Overview citation share or large-scale rank-tracking analyses. Google, OpenAI and other engine operators have not confirmed or commented on the figure, and the report's methodology details — sample size, query set, engines tested — were not specified in the initial coverage.

Search editors have seen this pattern before. Tool-side studies of AI Overviews, such as those run by seoClarity, Semrush and BrightEdge, routinely show that a small set of publishers captures the bulk of citations inside AI-generated answers. The InnovAit finding extends that consolidation logic from publishers to brands: in AI-mediated discovery, visibility concentrates among the few, and the many get nothing.

Why B2B is the vertical getting hit

The B2B exposure is structural. Buyers in this segment run long, unbranded, research-heavy queries — exactly the question format that AI engines now answer directly. Where a 2023-era buyer might have clicked through ten blue links and formed a shortlist, the 2025-era buyer increasingly receives a synthesized answer that names a handful of vendors, or none at all.

If a brand is absent from that synthesized answer, it never enters the consideration set. The report's "AI-invisible" framing captures this: the brand has not been penalized or deindexed. It simply does not exist in the channel where the first commercial touch now happens.

This is a different failure mode from classic SEO. A site can rank respectably in traditional results while remaining invisible in AI answers, because generative engines draw on a broader evidence base — reviews, third-party listings, forum discussion, comparison content — rather than the brand's own domain authority alone. The 80% figure suggests that most B2B brands have not yet built the off-site, third-party-validated footprint that generative engines reward.

Confirmed versus speculative

To separate what is established from what is inference:

Confirmed by the report: 80% of B2B brands measured were absent from AI-generated answers for relevant queries.

Tool-signal and analytical interpretation, not engine statements: the degree to which this reflects engine ranking mechanics versus weak brand footprints; the size and composition of the query sample; and any engine-by-engine breakdown. Coverage of the report did not include these details, and readers should treat vendor studies of AI visibility with the same caution long applied to vendor studies of core-update volatility.

What is not in dispute is the direction. Every major engine has shipped AI-generated answers into core search surfaces, and Google's AI Overviews now appear across a large share of informational and commercial queries. Brand presence inside those answers is becoming a measurable asset, and InnovAit is the latest vendor to price that asset — finding most B2B brands at zero.

What to watch

For search teams at B2B organizations, the report's number is a benchmark to test against, not a verdict. Monitor brand and category mentions in AI Overviews, ChatGPT and Perplexity answers over time; track third-party citation sources feeding those answers; and watch for follow-up releases from InnovAit with methodology detail and longitudinal data that show whether AI visibility is consolidating further or opening up.