Primary Audits
Machine-Readiness Audit: Europe, July 2026
The first Europe edition of a quarterly, multi-region benchmark. We sampled 52,076 independent European small businesses from the map. 76.3% had a real website, and among those, 77.9% had no type an engine can read as a local business. About 12.7% of all map-listed European businesses are fully machine-readable.
Part of Discovery Science in the Insights library.
Abstract
Search and AI answers can only name a business a machine can read. We sampled 52,076 independent European small businesses from their Google Business Profile map listings across 75 cities and twelve trades, and measured, first, whether each had a real website, and second, for the 39,722 that did (33,783 reachable), what their homepage exposed to a machine. 76.3 percent had a website. Among the sites, 36.8 percent carried no structured data at all and 77.9 percent no LocalBusiness-family type. Combining the two gaps, only about 12.7 percent of all map-listed European businesses are fully machine-readable, against about 32.1 percent in our US edition. The gap differed by trade (chi-square 338.1, p below 0.001) and rose with how established a business was. Because the sample is drawn from businesses that already keep an active map profile, the true gap across all European firms is wider still. This is the first Europe edition of a benchmark we repeat each quarter across regions. Every figure is measured, not modeled.
In Europe the website is largely a settled fact. Eurostat's enterprise surveys put website adoption among small European enterprises at about 77 percent, almost exactly the rate we measured from the map, and that figure has held in the high seventies for years. The gap in Europe is not whether a business has a website; it is what the website says to a machine. That is the Europe starting point for a web that search engines and AI assistants increasingly read through structured data rather than prose. Here the websites exist, 76.3 percent of them, but only 16.7 percent are fully readable to a machine.
For a customer none of this is visible today; you find a business on the map, tap to call or message, and book. But the surfaces are shifting, and a business a machine cannot find or parse has less chance of being the one an engine names. In Europe the effect compounds: only about 12.7 percent of map-listed businesses clear both filters, a real website and the local-entity markup on it, which is roughly one in 8.
This is the Europe ground-truth for the terrain the Visibility Corpus maps. The advantage of acting is unusually large precisely because so few competitors have. This is the first Europe wave of a quarterly, multi-region benchmark; the next waves will show whether the bar is rising, and the cross-region comparison sets Europe beside the other economies measured.
The data, in one read
In Europe, the website is there; the machine layer is not
The machine-readable web has two jobs: have a page at all, and make that page legible to a machine. Europe has largely done the first and largely skipped the second. About 76.3 percent of the European businesses we sampled from the map had a real website, a rate close to the United States. But where US small businesses increasingly mark those sites up as local entities, European businesses mostly do not.
That is the whole story of this edition, and it is a different story from the mobile-first economies. In Europe the problem is not absence, it is silence: a web full of real, working, human-facing business sites that say almost nothing a machine can read as a local business.
In Europe, the sites are built. They just were not built to be read.
How we measured this
We assembled the sample from the map listings for the same twelve trades as every edition of this benchmark, dentistry, auto repair, med-spa, small law, plumbing, HVAC, chiropractic, veterinary, salon, accounting, roofing, and physical therapy, across 75 European cities, keeping independent businesses and filtering out chains, directories, and aggregators. That produced 52,076 unique businesses. For each we recorded whether it had a real website of its own, as opposed to only a social or aggregator page, which gives the web-presence rate.
For the 39,722 businesses that had a website, we fetched the homepage and read, directly from its HTML, whether it carried JSON-LD structured data and which types, whether any was in the LocalBusiness family, and a set of on-page signals: title, meta description, H1, mobile viewport, HTTPS, Open Graph tags, and a phone number. 33,783 of those sites were reachable. We summarized each with a Machine-Readiness Score from 0 to 100. Holding the same twelve trades and the same read across every region is what makes the editions comparable. Every figure is a value a tool returned, with Wilson confidence intervals on the headline rates.
The websites exist, but they are quiet to machines
76.3 percent of map-listed European businesses had a website, and on the human-facing basics those sites were sound: 96.0 percent mobile-ready, 99.4 percent secure. In Europe the website is largely a settled fact. Eurostat's enterprise surveys put website adoption among small European enterprises at about 77 percent, almost exactly the rate we measured from the map, and that figure has held in the high seventies for years. The gap in Europe is not whether a business has a website; it is what the website says to a machine.
Most European business sites are, in Eurostat's own breakdown, brochureware: about two-thirds describe goods, services, and prices, and little more. A page that lists services for a human reader is not the same as a page that declares, in structured data, that this is a dental practice at this address. The first is common in Europe; the second is rare. Among the 33,783 reachable sites, 36.8 percent carried no structured data at all and 77.9 percent no LocalBusiness-family type. The website is present; the one line of code that would let a machine place it as a local business is usually not.
Among the sites, the machine layer is thin
Having a website is necessary but not sufficient. Among the 33,783 reachable European sites, 36.8 percent carried no structured data at all (95 percent confidence interval 36.3 to 37.3 percent), and 77.9 percent had no LocalBusiness-family type. Sorted into tiers, 36.8 percent were machine-invisible and only 16.7 percent fully readable, with a median Machine-Readiness Score of 67 out of 100.
The one consistent bright spot is the human-facing basics: 96.0 percent mobile-ready, 99.4 percent secure, 73.0 percent with a meta description. It is the machine-facing finish, the cheap part, that is missing most, and the gaps cluster: among sites with no structured data, only 49.2 percent carried a meta description, against 86.8 percent of sites that did.
The compound gap: about 12.7% are fully machine-readable
The two gaps multiply. Start with 100 map-listed European businesses. About 76 have a real website. Of those, 16.7 percent are fully readable. Put together, only about 12.7 of the original 100, roughly one in 8, are fully machine-readable: present, crawlable, and marked up as a local entity. In our US edition the comparable figure is about 32.1 percent. That gap is the single most important number in this study.
It is worth being careful about what this means. Being machine-readable is a precondition, not a promise. Google is explicit that structured data enables richer search features and helps an engine understand a page, but does not by itself lift ranking. A business a machine cannot find or parse cannot be named by one, and in Europe that describes about 87 of every 100 businesses a customer sees on the map.
The gap by trade
Machine-readiness differed by trade. Ranking the twelve by LocalBusiness-type use, Veterinary was lowest at 15.5 percent and Plumbing highest at 29.5 percent. A chi-square test of trade against local-entity presence returns 338.1 on 11 degrees of freedom, past the 0.001 threshold. The credence-service trades, whose buyers most need to verify before committing, again tended to sit low, echoing the pattern from the US and India editions.
Holding the same twelve trades across every region is what keeps the comparison consistent, even where a trade is sparse in a given market.
Machine-readiness by trade, European businesses with a reachable website (n=33,783). Score is the mean Machine-Readiness Score (0 to 100).
| Trade | Sites | Any schema | LocalBusiness type | Mean score |
|---|---|---|---|---|
| Plumbing | 3013 | 65.5% | 29.5% | 69.4 |
| Dental | 3286 | 66.1% | 26.4% | 68.7 |
| Chiropractic | 2756 | 64.8% | 26.4% | 68.0 |
| Roofing | 2542 | 67.0% | 24.9% | 68.3 |
| Med-spa | 2170 | 68.0% | 23.3% | 68.5 |
| Law firm | 3839 | 66.4% | 22.0% | 67.6 |
| Physical therapy | 2424 | 66.3% | 21.3% | 66.8 |
| HVAC | 3334 | 64.4% | 20.5% | 66.6 |
| Salon | 2661 | 58.5% | 20.4% | 63.6 |
| Auto repair | 2092 | 51.7% | 18.5% | 60.7 |
| Accounting | 2936 | 61.4% | 15.6% | 63.8 |
| Veterinary | 2730 | 55.1% | 15.5% | 61.8 |
The gap across Europe
Europe is not one market but many, and machine-readiness varies sharply within it. Among the countries with a solid sample, United Kingdom led on local-entity markup at 29.7 percent of sites, while Hungary trailed at 10.2 percent; on web-presence, Netherlands was highest at 89.3 percent and Italy lowest at 61.0 percent. The within-Europe spread is nearly as wide as the gap between some of the world regions in the wider atlas.
The pattern is roughly a northwest-versus-south-and-east one: the United Kingdom, France, Germany, the Netherlands, and Austria tend to lead, while Italy and Hungary trail, with Italy particularly low even on having a website at all. It is not a clean Nordic story, several Nordic countries sit mid-table, and every European country sits well short of the machine-readable ceiling. Reading the compound column below, the share of all map-listed businesses that are fully machine-readable, only the United Kingdom clears a fifth.
Machine-readiness by country, Europe, July 2026. Web-presence is over all map-listed businesses in that country; the other columns are among those with a reachable website. Countries with at least 200 sampled businesses are shown.
| Country | Sampled | Web-presence | LocalBusiness (sites) | Fully machine-readable (all) |
|---|---|---|---|---|
| United Kingdom | 7,683 | 80.7% | 29.7% | 24.0% |
| Austria | 1,432 | 87.8% | 24.6% | 21.6% |
| France | 7,052 | 67.5% | 27.5% | 18.6% |
| Norway | 304 | 80.9% | 22.5% | 18.2% |
| Germany | 7,026 | 86.6% | 20.6% | 17.8% |
| Netherlands | 4,819 | 89.3% | 19.2% | 17.1% |
| Belgium | 2,462 | 79.0% | 21.5% | 17.0% |
| Spain | 5,830 | 71.9% | 23.2% | 16.7% |
| Switzerland | 840 | 82.0% | 20.1% | 16.5% |
| Romania | 349 | 73.9% | 20.7% | 15.3% |
| Poland | 5,070 | 72.6% | 19.3% | 14.0% |
| Sweden | 1,783 | 82.1% | 17.1% | 14.0% |
| Portugal | 976 | 69.6% | 17.9% | 12.5% |
| Italy | 6,132 | 61.0% | 13.3% | 8.1% |
| Hungary | 318 | 71.1% | 10.2% | 7.3% |
The investment effect
As in every edition, the more established a business, the more machine-readable it tended to be. LocalBusiness-type use rose monotonically with review volume, from 18.7 percent for businesses with ten or fewer reviews to 24.2 percent for those with more than five hundred, though the correlation with the readiness score was weak (0.066). Star rating tracked the same way, from 14.1 percent for sites rated under 4.0 to 25.6 percent for the highest rated.
Reachability among sited businesses was 15.0 percent unreachable, and rose with how established a business was: 54.5 percent of the quietest businesses' sites responded, against 78.0 percent of the busiest. Dead and parked domains, more common among newer businesses, widen the effective web-presence gap: a site that does not load is, to a machine, the same as no site.
How this compares
Set against the published record, the Europe numbers are coherent. Web-wide, HTTP Archive's 2024 Web Almanac finds no JSON-LD on about 59 percent of pages and the LocalBusiness type on under 4 percent; the European sites we read, at 36.8 percent with no structured data, sit near the global page-level baseline rather than above it, unlike US small businesses, which were well ahead of it. And the web-presence figure lines up with Eurostat's enterprise statistics, which is the strongest sign a single study can give that its numbers are real.
The sharpest lens is the comparison to the other editions of this benchmark. European businesses come out at about 12.7 percent fully machine-readable, against roughly 32.1 percent in the US. This is the first of several regional editions; the cross-region comparison, once every region is measured, sets these differences side by side with the care they need.
What it means
The Europe picture points to one specific, fixable thing: whether the machines now mediating discovery can read these businesses. Today, for most, the answer is no, and the reason has a particular shape in Europe.
In Europe the fix is unusually cheap, because the expensive part is already done. The website exists, it is fast, it is secure; what is missing is the structured-data markup that would take an afternoon to add. That a wealthy, digital economy leaves this undone is the paradox worth watching each quarter.
None of this is a verdict on European businesses, which are digitally active in their own way and growing more so. It is a measurement of eligibility: the ability to be read, placed, featured, and cited at all. Structured data does not buy ranking. It buys the chance to be found by a machine, which in Europe most businesses do not yet have.
A benchmark we intend to keep
This is the first Europe edition of a measurement we repeat every quarter, part of a multi-region program running the same method across the United States, India, Europe, and other economies. A single snapshot says where Europe stands; a series says which way it is moving.
Every wave holds the method fixed: the same twelve trades, a fresh draw of independent businesses from map listings across the same kind of city spread, the same homepage read, the same Machine-Readiness Score, the same tiering rules. Each wave is a fresh sample, not the same sites re-checked, so the series measures the population moving. Once several regions and several quarters exist, a cross-region evolution study will set them side by side.
Limits, stated plainly
Every number here is measured, and every number has bounds. The sample is drawn from businesses with an active Google Business Profile on the map, which is the more digital tier of European small business; firms with no map profile are absent and almost certainly less machine-readable, so these figures set a floor on the gap, not a ceiling. Web-presence is measured as a listed own-domain versus a social or aggregator link; a business reachable only through messaging is counted as having no website, which is correct for machine-readability but understates its commercial presence.
We read the homepage only, so structured data on inner pages is undercounted, and detection parses JSON-LD, the dominant format, so the few sites using microdata are missed. Reachability among sited businesses was 15.0 percent. All measurements are a single snapshot from late July 2026, and relationships reported are associations, not proven causes. None of these limits changes the central finding, which is large and consistent: in Europe, most independent small businesses are not yet readable by the machines that increasingly decide who gets found.
The evidence, in numbers
Key findings, dated and sourced
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Only 76.3% of 52,076 map-listed independent European businesses had a real website (39,722); the rest reach customers through social or messaging, not a machine-readable page
emerging Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Among European businesses with a website, 36.8% carried no structured data (95% CI 36.3-37.3%) and 77.9% had no LocalBusiness-family type
emerging Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Combining both gaps, only about 12.7% of all map-listed European businesses are fully machine-readable (one in 8), versus about 32.1% in the US edition
emerging Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Only 16.7% of European business websites were fully readable; 36.8% were machine-invisible; median Machine-Readiness Score 67/100
emerging Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Machine-readiness differed by trade (chi-square 338.1, df 11, p<0.001): Veterinary lowest at 15.5%, Plumbing highest at 29.5%
emerging Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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The web-presence figure aligns with Eurostat's enterprise statistics, independent corroboration that the measurement is sound
established Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31; Eurostat (European Commission)
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Structured data is a precondition of eligibility, not a ranking lever: Google states it enables features and page understanding, not generic ranking
contested Google Search Central
Learning outcomes
What this study teaches
- If you run a small business in Europe with a website, check whether it carries a LocalBusiness schema type; most European sites do not, and without it a machine cannot place you.
- A website is necessary but not sufficient; add a LocalBusiness-family schema type so an engine can place you as a local entity.
- Check that your domain actually resolves; many small-business sites in this sample were dead or parked, which to a machine is the same as no site.
- The advantage of acting is unusually large here precisely because so few competitors have.
- Treat machine-readability as eligibility, not a ranking trick; it is the floor you must stand on before reputation and prominence can lift you into an answer.
Honest limits
What this does not yet settle
- The sample is drawn from businesses with an active Google Business Profile on the map, the more-digital tier of European small business; firms with no map profile are absent and almost certainly less machine-readable, so these figures are a floor on the gap.
- Web-presence is measured as a listed own-domain versus a social or aggregator link; a business reachable only through messaging is counted as no website, correct for machine-readability but understating commercial presence.
- We read the homepage only; structured data on inner pages is undercounted. Detection parses JSON-LD, the dominant format; microdata is missed.
- Some trades are sparse in Europe. Reachability among sited businesses was 15.0%.
- All measurements are a single snapshot from late July 2026; relationships reported are associations, not proven causes.
This is a synthesis of dated, attributed evidence, not a census. The AI-answer layer in particular has no independent, Nielsen-grade measurement yet, so readings of it are directional and named as a frontier, never presented as settled.
Straight answers
Frequently asked questions
What share of small businesses in Europe have a website?
In our audit of 52,076 independent European businesses drawn from Google Business Profile map listings, 76.3 percent had a real website of their own. Because the sample is already the more-digital tier, the true rate across all European businesses is likely lower.
How machine-ready are European businesses compared to the US?
They trail. In our US edition about 97 percent of map-listed businesses had a website and about 32.1 percent were fully machine-readable. In Europe, 76.3 percent had a website and only about 12.7 percent of all map-listed businesses were fully machine-readable.
Will adding a website and schema make my business rank higher or get cited by AI?
Not by itself. Google is explicit that structured data enables richer search features and helps an engine understand a page, but does not on its own improve ranking, and the evidence that it directly increases AI-answer citations is not settled. The claim is narrower: a business a machine cannot find or read cannot be named by one. Machine-readability is a precondition, not a promise.
How was this measured, and how reliable is it?
We took 52,076 independent European businesses from Google Business Profile map listings across 75 cities and twelve trades, recorded whether each had a real website, and for the 39,722 that did, read the homepage's structured data and on-page signals directly; 33,783 were reachable. Every figure is a value a tool returned in late July 2026, and the web-presence finding matches independent European digital-economy estimates. The main limit is that the map sample is the more-digital tier, so it understates the gap.
Provenance
References
- Raveneye Global machine-readiness audit (Europe, July 2026): 52,076 independent European small businesses sampled from Google Business Profile map listings across 75 cities x 12 trades; 39,722 had a real website, 33,783 of those were reachable and read; captured 2026-07-30 to 2026-07-31.
- Eurostat, Statistics Explained: Digital economy and society statistics - enterprises (Eurostat (European Commission), 2025) https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Digital_economy_and_society_statistics_-_enterprises
- Eurostat, ICT usage and e-commerce in enterprises survey (reported via Statistics Explained) (Eurostat (European Commission), 2023) https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Digital_economy_and_society_statistics_-_enterprises
- Eurostat, Digital economy and society statistics - enterprises (Eurostat (European Commission), 2019) https://ec.europa.eu/eurostat/statistics-explained/index.php/Digital_economy_and_society_statistics_-_enterprises
- Eurostat, Statistics Explained: Digital economy and society statistics - enterprises (Eurostat (European Commission), 2025) https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Digital_economy_and_society_statistics_-_enterprises
- The Web Almanac 2024, Structured Data chapter (HTTP Archive) (HTTP Archive / Web Almanac, 2024) https://almanac.httparchive.org/en/2024/structured-data
- The Web Almanac 2024, Structured Data chapter (HTTP Archive) (HTTP Archive / Web Almanac, 2024) https://almanac.httparchive.org/en/2024/structured-data
- WebDataCommons JSON-LD/Microdata/RDFa Data Corpus 2024, University of Mannheim (University of Mannheim (Data & Web Science Group), 2024) https://www.uni-mannheim.de/dws/news/wdc-json-ld-microdata-rdfa-data-corpus-2024-published/
- Structured Data, Web Almanac 2024 (JSON-LD present on 41% of pages web-wide; LocalBusiness on 3.97%), HTTP Archive https://almanac.httparchive.org/en/2024/structured-data
- General structured data guidelines (structured data enables rich-result features and page understanding, not generic ranking), Google Search Central https://developers.google.com/search/docs/appearance/structured-data/sd-policies
- LocalBusiness type and its subtypes, Schema.org https://schema.org/LocalBusiness
- Companion editions of this benchmark, Machine-Readiness Audit (US and other regions), Raveneye Global, 2026 /research/machine-readiness-audit-us-msmes-2026-07/
Every measured figure is dated to its capture and tagged with an evidence tier. Every cited work is real and locatable. Where an engine could not be captured this round, it is named as uncaptured, not estimated. Small-sample readings are labelled as directional.