2026 study: are small-business websites ready for AI? Read the studyFR
Julien Gattegno

Study · November 2026

Greece: are small-business websites ready for AI?

393 small-business websites built by one website provider, measured in November 2026. What ChatGPT, Google AI and Copilot can read on them.

Exact trade declared
0.5%
AI-readable FAQ
0%
llms.txt describing the business
2.8%
Auto-generated llms.txt
90.6%

Nearly every site has an llms.txt, but it is the builder’s automatic page list: nothing about the business itself.

Public data · no site or provider named

The figures

Greece next to the French study: 38,803 sites built by 9 French providers, measured the same way.

SignalGreece
n = 393
France (9 providers)
n = 38,803
llms.txt describing the businessA summary of the site written for AI, at the root of the domain. A page list generated by the site builder does not count.2.8%0%
Auto-generated llms.txtAn llms.txt generated by the site builder: the list of pages and their descriptions, nothing about the business.90.6%23.6%
Rules for AI crawlersrobots.txt names GPTBot, ClaudeBot, PerplexityBot or another AI crawler.0%0.1%
AI crawlers blockedrobots.txt bars an AI crawler (or every crawler) from the whole site.0%0%
AI-readable FAQQuestions and answers declared as structured data (FAQPage).0%1%
Structured data presentAt least one schema.org JSON-LD block on the homepage.95.2%72.3%
Exact trade declaredA schema.org type that says what the business does (Plumber, Restaurant, Attorney…).0.5%3.1%
Generic type onlyAmong sites with structured data: only “LocalBusiness” or “Organization”, no trade.99.5%95.8%
Empty descriptionThe structured-data description field exists but is empty.0%2.4%
Ratings declaredAn average rating (AggregateRating) in structured data.0%0.9%
Meta descriptionThe summary search engines show under the page title.98.7%92.1%
SitemapA sitemap.xml declared or present.99.7%98.7%
HTTPSThe site answers over a secure connection.100%100%
Mobile-readyThe viewport tag is present.80.2%100%

What it changes

AI only recommends what it understands. A site that doesn’t say clearly what trade it is in, where, and for which questions, leaves the answer to competitors who do.

  1. 01The exact trade (Plumber, Restaurant, Attorney…) lets AI match you to the right questions.
  2. 02A structured FAQ gives AI answers ready to quote.
  3. 03An llms.txt that describes the business — not a page list — tells AI what you do and what matters.

Method

When: November 2026, a single measurement at that date.

What is measured: the raw HTML of the homepage, plus /robots.txt, /llms.txt and /sitemap.xml. No JavaScript is run: anything added only by script is not counted.

Sample: small-business websites built by subscription website providers that run on one of two white-label site-builder platforms, identified by their technical signature (hosting, provider credit in the footer or legal notice). Country = the site’s domain extension. Sites with no identifiable provider are left out.

Excluded: unreachable sites, parked or near-empty pages, duplicates after redirects.

Limits: we measure what sites declare, not what AI answers. Each sample reflects its providers’ templates and is not representative of all businesses in the country.

Privacy: aggregate figures only; no site or provider is named.

France: the full French study (in French) covers 9 providers, with breakdowns by trade and region.

What about your site?

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