We audited 720 B2B companies.89% are invisible in AI search.
Across SaaS, ecommerce, fintech, healthcare, and services, the average AI Visibility Score is 50 / 100. The companies that crack 70 do four things the rest aren't. This is what we found.
- Companies
- 720
- Industries
- 5
- Sections
- 8
- Read time
- ~12 min
- Published
- June 2026
On this page
- 01Executive summary
- 02Most B2B companies sit in the warm zone: visible but unremarkable
- 03The strongest industry beats the weakest by three points
- 04The 11–50 bracket leads
- 05The four patterns shared by every "Hot" company
- 0691% of B2B companies cannot tell if AI is sending them buyers
- 0747% are shipping AI-ready content
- 08Most companies optimise for ChatGPT and ignore the rest
- 09The minimum viable AI visibility upgrade
- 10Methodology & FAQ
Three findings that should reshape your 2026 plan.
The market is uniformly under-prepared.
The gap between the best industry (Ecommerce, 52) and the worst (Fintech, 49) is three points. There is no industry winning at AI visibility. This is an open category.
Measurement is the silent crisis.
Only 9% of audited companies can segment AI-driven traffic. 78% either don't look or see referrals they can't attribute. You can't improve what you don't measure.
Company size doesn't protect you.
The 11–50 bracket scored highest (52). 1,000+ companies scored 50. Enterprise authority doesn't translate to AI citations. Agility does.
Most B2B companies sit in the warm zone: visible but unremarkable.
Score bands are split into four ranges. Only 11% of audited companies crossed 70 ("Hot"). The middle 86% are visible enough that AI knows they exist, but not consistently cited or recommended.
The takeaway: 89% of B2B companies score below 70. Most can be overtaken by an organised 12-week sprint.
The strongest industry beats the weakest by three points.
Ecommerce edges ahead because product-detail pages are unusually well-structured: schema-rich, comparable, and packed with literal answers (price, dimensions, materials). The fintech and healthcare gap traces to regulatory-driven content tone, which reads as evasive to an AI synthesizer.
Practical implication: Whichever industry you're in, the leader has minimal moat. A disciplined three-month effort puts you in the top 11%.
The 11–50 bracket leads. Enterprises are not winning.
Companies between 11 and 50 employees scored highest (52 avg). The 1,000+ bracket scored a middling 50. Domain authority transfers less than expected to AI ranking signals. LLMs weight clean, recent, structured answers over raw link equity. Smaller companies ship faster.
The four patterns shared by every "Hot" company.
They write answers, not articles.
Top performers structure pages around literal questions a buyer asks an AI. Short paragraphs. One claim per sentence. Numbers in figures, not words. The same content that ranks for featured snippets ranks for AI citations.
They measure AI traffic as a first-class channel.
Hot companies tag ChatGPT, Perplexity, and Gemini referrals separately in GA4. They know the conversion rate of AI-sourced visitors (typically 3–11× organic) and they budget against it.
They cover all five major assistants.
92% of audited companies optimise for ChatGPT. Only 30% deliberately work on Claude, where buyer-side adoption is highest in technical B2B. Hot companies test their content against all five: ChatGPT, Gemini, Perplexity, Claude, Copilot.
They fix wrong answers at the source.
27% of audited companies report AI assistants get their information "wrong." Hot companies don't complain about this. They republish definitive pages with the corrected facts and watch the AI synthesizers re-index within 2–6 weeks.
91% of B2B companies cannot tell if AI is sending them buyers.
This is the single biggest gap in the dataset. Companies are already getting AI traffic; they're just not counting it. Until you can attribute and rate it, you cannot justify content investment, you cannot tune for it, and you cannot defend the channel internally when budgets tighten.
47% are shipping AI-ready content. Most still aren't.
"AI-ready" means: pages answer the question in the first paragraph, claims include sources, every product/feature page has a structured FAQ, and the company maintains a glossary that defines its terms in plain language. Half the cohort hasn't started. The gap maps almost 1:1 to scoring bands.
Most companies optimise for ChatGPT and ignore the rest.
Among audited companies, ChatGPT coverage is near-universal. Claude, used heavily by senior technical buyers, is a blindspot. Companies that ranked "Hot" in our scoring covered all five major platforms; "Cold" companies covered an average of 1.4.
The minimum viable AI visibility upgrade.
Audit your current state
Take the AI Visibility Audit. Ask the same five questions of ChatGPT, Claude, Perplexity, and Gemini: "Who are the best [your category] vendors?", "What does [your company] do?", "What are alternatives to [a key competitor]?". Screenshot what comes back.
Wire up measurement
In GA4, add referral exclusions for chat.openai.com, perplexity.ai, gemini.google.com, claude.ai, copilot.microsoft.com so they show as discrete referrers. Tag UTM source on any link you place in AI-readable docs. You'll have data inside seven days.
Rewrite your top 10 pages for synthesis
First paragraph = the answer. One claim per sentence. Numbers in figures. Add a structured FAQ block. Add a single-sentence definition of every product/feature. AI crawlers re-index within 2–6 weeks.
Publish a definitive answer page
One page that owns the single most-asked question your buyers ask AI. Bullet-pointed. Linkable. Cite-able. This page becomes your AI-channel hub.
How the report was built.
How was the dataset assembled?
720 B2B companies were submitted through our AI Visibility Audit, a 10-question assessment covering platform coverage, accuracy of AI responses, content readiness, measurement maturity, and competitive positioning. Industries and company sizes are self-reported on intake.
How is the score calculated?
Each response is scored 0–100 across five dimensions: platform breadth (which assistants you cover), answer accuracy (how often AI gets your facts right), content readiness (whether your pages are written for AI synthesis), measurement (whether you can attribute AI-driven traffic), and competitive coverage (whether AI mentions you when asked about your category).
Is this report free?
Yes. The full report is free to read on this page. No email gate. If you want to audit your own company against this benchmark, the 4-minute assessment is also free.
How often will this be updated?
We refresh the dataset quarterly. Major shifts (a new top-tier AI assistant launching, a Google AI Overview rollout) trigger an interim update.
Can I cite this report?
Please do. Cite as: Mojo Dojo, "State of B2B AI Visibility 2026," accessed [date]. A linkback to this URL is appreciated.
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