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How AI-ready are B2B websites? We checked 469 of them.

By The Venoh team · Published September 29, 2026 · Last updated September 29, 2026

We read the homepage and several key pages of 469 company websites in September 2026. 38% had no structured data on their homepage at all, and three in four had no FAQPage markup on the pages we read. Sites that did have FAQ markup or an llms.txt file were cited by AI search about twice as often, a link worth taking seriously but not proof of cause.

What we found on 469 websites

Share of sites with each item (pages read: the homepage plus up to about nine key and sampled pages)
ItemSitesShare
No schema.org structured data on the homepage178 of 46938.0%
Organization schema on the homepage264 of 46956.3%
FAQ content on at least one page we read198 of 46942.2%
FAQPage schema on at least one page we read118 of 46925.2%
Homepage without a meta description25 of 4695.3%
A sitemap was found432 of 460 checked93.9%
An llms.txt file was found243 of 467 checked52.0%

Two things stand out. The basics that traditional SEO pushed for years are nearly universal (sitemaps, meta descriptions), while the structure that helps AI systems understand a company (Organization and FAQ markup) is missing on a large share of sites. And llms.txt, a young proposal, is already on about half of these sites, partly, it seems, because some platforms now publish one automatically: several online stores in the sample had near-identical "Agent Instructions" files at that address.

Are AI-ready sites cited more?

For 365 of these companies we also asked Perplexity or Claude with web search between one and five buyer questions about what they sell (1,048 answers in total), and recorded whether the company's own site was among the cited sources. Here is how citation rates compare for sites with and without each item.

Share of answers citing the company, and share of companies cited at least once
Site hasCompaniesAnswers citing the companyCompanies cited at least once
FAQPage schema9524.4%44.2%
No FAQPage schema27011.2%22.6%
llms.txt20219.3%37.1%
No llms.txt1618.8%17.4%
Organization schema (homepage)21218.3%35.4%
No Organization schema1539.5%18.3%
Correlation, not proof Companies that add FAQ markup and llms.txt tend to be the ones that invest in their websites and marketing in general, and those companies are also more likely to be written about elsewhere. So these gaps show that AI-ready sites and cited sites overlap a lot; they do not show that adding one file doubles your citations. Google, for one, says its AI features need no special markup or AI text files beyond normal SEO best practice.

What to do with this

  1. Describe yourself clearly and consistently. Add Organization schema with your name, URL, logo and profiles, and use the same product names everywhere. It is cheap, and it makes you easier to describe correctly.
  2. Answer your buyers' questions on your own pages. Put real questions and direct answers on the pages that matter (pricing, product, comparison), and mark them up where they are genuinely FAQs.
  3. Publish an llms.txt if your platform makes it easy. It is low effort; just don't expect it to fix visibility on its own.
  4. Measure, don't assume. Ask the engines your buyers' questions, repeatedly, and record who is cited. Our companion study shows how often other sites take that place.

How we did it

  • Sites: 469 company websites we researched between 20 and 29 September 2026, about 88% US and 10% UK, mostly B2B technology and SaaS, with some consumer brands. Not a random sample of the web.
  • Pages read: the homepage, up to four key pages (such as pricing, product and about) and up to five pages sampled from different sections of the sitemap. Statements like "no FAQPage schema" mean none on the pages we read.
  • Site-wide checks: the sitemap and llms.txt were requested at their standard addresses; an HTML page returned in place of llms.txt was not counted as one. Sites where the check could not complete are left out of that row.
  • Citations: each buyer question was asked once; answers vary between runs, so the rates are a dated snapshot.

Frequently asked questions

How many B2B websites have FAQPage schema?

In our September 2026 check of 469 mostly US and UK B2B websites, 25.2% had FAQPage schema on at least one of the pages we read, while 42.2% had FAQ content of some kind.

How many websites have an llms.txt file?

About half of the sites we checked (243 of 467, 52%) had an llms.txt file in September 2026. The sample leans toward tech companies and online stores, and some site platforms appear to generate one automatically.

Does adding llms.txt or FAQ schema get you cited by AI?

Sites with them were cited about twice as often in our sample, but that is a correlation: companies that add them also tend to invest more in their websites and reputation. Treat them as low-cost good practice, not a guaranteed fix.

Sources and further reading

Links were checked when this page was written (September 29, 2026). Vendors update their documentation, so verify details at the source.

Want this checked on your own pages?

The Venoh diagnostic reviews your real pages and labels every finding by how it was determined. Send us your website address and a line about what you sell.