Primary Audits

Machine-Readiness Audit: Japan, July 2026

The truer picture of the Japanese market. We measured 60,059 independent Japanese businesses in all, the majority across the eighteen trades that actually make up the high street, izakaya and ramen counters, soba and udon shops, and more. Only 43.4% of those had a real website, and just 2.3% are fully machine-readable, far below what the Western-professional trades suggest.

Original research by Chandranshu Kumar, Founder, Raveneye Global. Published 2026-07-31. · 20 min read

Part of Discovery Science in the Insights library.

Abstract

Search and AI answers can only name a business a machine can read. We sampled 34,831 independent Japanese small businesses from their Google Business Profile map listings across 30 cities and eighteen trade categories, and measured, first, whether each had a real website, and second, for the 15,107 that did (12,737 reachable), what their homepage exposed to a machine. 43.4 percent had a website. Among the sites, 63.2 percent carried no structured data at all and 91.4 percent no LocalBusiness-family type. Combining the two gaps, only about 2.3 percent of all map-listed Japanese businesses are fully machine-readable, against about 32.1 percent in our US edition. The gap differed by trade (chi-square 594.3, 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 Japanese firms is wider still. This is the first Japan edition of a benchmark we repeat each quarter across regions. Every figure is measured, not modeled.

43.4% of 34,831 map-listed independent Japanese businesses had a real website (15,107) Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
60,059 Japanese businesses measured in total, the majority (34,831) across the eighteen native trades that define the market, plus 25,228 across the internationally-comparable trades Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
63.2% of Japanese business websites carried no structured data at all (of 12,737 reachable, 95% CI 62.4 to 64.0) Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
91.4% had no LocalBusiness-family type an engine can read as a local entity Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
~2.3% of all map-listed Japanese businesses are fully machine-readable, against about 32.1% in the US edition Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
3.3% to 24.7% LocalBusiness-schema rate from the lowest trade (Wagashi confectioner) to the highest (Izakaya) Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31
How the market is evolving

Japan is a wealthy, deeply digital economy, yet its traditional high street reaches customers through aggregators, not its own websites. The tiny izakaya, the ramen counter, the neighborhood greengrocer are found on Tabelog, Gurunavi, and Hot Pepper, review-and-listing platforms that carry a page for the business but not a machine-readable site the owner controls. Counting only a business's own website, and excluding those aggregator listings, only a minority of the traditional trades have a page a machine can read at all. That is the Japan starting point for a web that search engines and AI assistants increasingly read through structured data rather than prose. Here the gap begins with the website itself: only 43.4 percent of map-listed businesses have one.

What it does to buyers

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 Japan the effect compounds: only about 2.3 percent of map-listed businesses clear both filters, a real website and the local-entity markup on it, which is roughly one in 43.

What it means for the attention terrain

This is the Japan 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 Japan wave of a quarterly, multi-region benchmark; the next waves will show whether the bar is rising, and the cross-region comparison sets Japan beside the other economies measured.

The data, in one read

The machine-readability funnel in Japan
Map-listed businesses
100%
Have a real website
43.4%
Website carries structured data
16%
Fully machine-readable
2.3%
emergingOf every 100 independent Japanese businesses a person finds on the map, about 43 have a real website, 16 expose any structured data, and only about 2 are fully machine-readable. Each step is measured, not modeled. Source: Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.

In Japan, the first job is still unfinished

The machine-readable web has always had two jobs: have a page at all, and make that page legible to a machine. In the United States the first job is essentially done, and our US edition could take the website as given and measure only the second. In Japan that assumption breaks. Here the first job, having a website at all, is unfinished for most businesses, and the story has to start there.

We measured it directly. Of 34,831 independent Japanese businesses drawn from their Google Business Profile map listings, only 43.4 percent had a real website of their own. The rest were not missing from the internet; they were present on it in forms a machine cannot read as a business page: a messaging chat, a social profile, a listing on an aggregator. That is not a failure of effort. It is a different way of being online, and it is the defining fact of the Japanese small-business web.

In Japan, being findable and being machine-readable have come apart.

How we measured this

We assembled the sample from the map listings for eighteen trade categories that make up the traditional Japanese high street, from izakaya, ramen, soba and udon shops, yakitori and tempura counters, and sento bathhouses to sakaya liquor stores, wagashi confectioners, tofu makers, hanko seal engravers, greengrocers, and cram schools, across 30 Japanese cities, keeping independent businesses and filtering out chains, directories, and aggregators. That produced 34,831 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. We chose these trades deliberately: they are the categories that dominate the Japanese high street, not the Western professional services a standard audit tends to sample, so the picture is truer to how the Japanese market is actually organized.

For the 15,107 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. 12,737 of those sites were reachable. We summarized each with a Machine-Readiness Score from 0 to 100. Reading every homepage the same way, and repeating the method each quarter, is what makes the editions comparable over time. Every figure is a value a tool returned, with Wilson confidence intervals on the headline rates.

The first gap: only 43.4% of businesses have a website

The web-presence rate is the headline, because it is the first filter and the widest. Just 43.4 percent of map-listed Japanese businesses had a website of their own. Japan is a wealthy, deeply digital economy, yet its traditional high street reaches customers through aggregators, not its own websites. The tiny izakaya, the ramen counter, the neighborhood greengrocer are found on Tabelog, Gurunavi, and Hot Pepper, review-and-listing platforms that carry a page for the business but not a machine-readable site the owner controls. Counting only a business's own website, and excluding those aggregator listings, only a minority of the traditional trades have a page a machine can read at all.

This is aggregator substitution, the same pattern Asia shows through social and delivery apps, but inside a rich economy and through a different door. And it compounds with Japan's documented digital paradox: even the traditional businesses that do own a site rarely mark it up, so machine-readability fails twice over. The high street is aging too, with most small-business owners past sixty and a wave of closures projected from succession failure, which leaves little appetite to invest in a website few customers ask for. Until the website exists, most Japanese businesses are invisible to the machines that increasingly decide who gets named in an answer.

Among the sites, the machine layer is thin

Having a website is necessary but not sufficient. Among the 12,737 reachable Japanese sites, 63.2 percent carried no structured data at all (95 percent confidence interval 62.4 to 64.0 percent), and 91.4 percent had no LocalBusiness-family type. Sorted into tiers, 63.2 percent were machine-invisible and only 5.4 percent fully readable, with a median Machine-Readiness Score of 55 out of 100.

The one consistent bright spot is the human-facing basics: 87.3 percent mobile-ready, 98.9 percent secure, 73.2 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 67.2 percent carried a meta description, against 83.4 percent of sites that did.

Among Japanese businesses with a website, 5.4% are fully readable
Fully readable
5.4%
Named, not placed
28.2%
Machine-invisible
63.2%
Placed, unfinished
3.2%
emergingThe 12,737 reachable Japanese business websites sorted into four tiers. Machine-invisible means no structured data at all; fully readable means a LocalBusiness type plus a meta description, an H1, and Open Graph tags. Source: Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.

The compound gap: about 2.3% are fully machine-readable

The two gaps multiply. Start with 100 map-listed Japanese businesses. About 43 have a real website. Of those, 5.4 percent are fully readable. Put together, only about 2.3 of the original 100, roughly one in 43, 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 Japan that describes about 98 of every 100 businesses a customer sees on the map.

Japan against the United States and the web at large
Have a website (Japan)
43.4%
Have a website (US)
97%
No structured data (Japan sites)
63.2%
No structured data (US sites)
26.6%
No structured data (web-wide)
59%
establishedJapan beside the US edition of this audit and web-wide page rates (HTTP Archive Web Almanac 2024, which finds no JSON-LD on about 59% of pages). Japanese businesses trail the US on machine-readiness, and each region's gap has its own shape. Source: This audit; US figures from the companion US audit; web-wide from Structured Data, Web Almanac 2024, HTTP Archive.

Why the trade mix matters

A word on why this edition looks different from a conventional small-business audit. Most audits, including the other regional editions of this benchmark, sample a fixed set of twelve trades chosen because they exist everywhere: dentistry, small law, accounting, med-spa, chiropractic, and the home services. Those are real businesses, but in Japan they are not the businesses that make up the high street. The Japanese small-business economy is built from izakaya and ramen counters, soba and udon shops, greengrocers and tofu makers, sento bathhouses, and hanko seal engravers, and to picture it truly you have to measure those.

The difference is large and it runs one way. Measured across the twelve Western-professional trades, Japan looks like a 67.5-percent-website, 7.3-percent-machine-readable market. Measured across the eighteen trades that actually dominate the economy, it is a 43.4-percent-website, 2.3-percent-machine-readable one. The professional lens overstates Japan's machine-readiness by roughly 3.2 times. The trades a buyer most often verifies online, and which most often carry a website, are precisely the ones over-represented in a standard audit and under-represented on the real Japanese high street.

So this edition leads with the truer picture: the 34,831 real Japanese MSMEs across eighteen trades. We keep the twelve-trade subset too, measured on 25,228 businesses, because it is what lets Japan be compared like-for-like against the other economies in the global atlas, where every market is held to the same standard trades. In total this edition draws on 60,059 Japanese businesses, the majority of them the everyday trades that define the country. Read the atlas number as the internationally-comparable one, and this edition's number as the truer domestic one.

Why the trade mix matters: real Japanese MSMEs vs Western-professional trades
Web-presence, real Japanese MSMEs
43.4%
Web-presence, Western-professional trades
67.5%
Fully machine-readable, real Japanese MSMEs
2.3%
Fully machine-readable, Western-professional trades
7.3%
emergingThe same country, measured two ways. Across the eighteen trades that make up the Japanese high street, 43.4% have a website and 2.3% are fully machine-readable. Across the twelve Western-professional trades a standard audit samples (dentists, lawyers, accountants), the figures look far healthier (67.5% and 7.3%). The professional lens overstates Japan's machine-readiness roughly 3.2-fold. Source: Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.

The gap by trade

Machine-readiness differed by trade. Ranking the eighteen by LocalBusiness-type use, Wagashi confectioner was lowest at 3.3 percent and Izakaya highest at 24.7 percent. A chi-square test of trade against local-entity presence returns 594.3 on 17 degrees of freedom, past the 0.001 threshold. The pattern here is less a smooth gradient than a scattered field: two trades, izakaya (24.7 percent) and the tatami craftsman (20.9 percent), stand well clear of the rest, while every other trade, from ryokan inns to wagashi confectioners, sits under 10 percent.

Holding the trade set fixed across waves is what keeps the comparison consistent over time, even where a trade is sparse.

LocalBusiness-schema rate by trade
Wagashi confectioner
3.3%
Ryokan inn
4%
Sakaya liquor
4.5%
Tofu shop
5%
Yakitori
5.5%
Sento bathhouse
5.6%
Tempura
6.2%
Yaoya greengrocer
6.5%
Sushi (counter)
7.3%
Udon shop
7.5%
Ramen shop
7.7%
Juku cram school
7.7%
Soba shop
7.8%
Hanko/seal maker
7.8%
Kimono shop
7.8%
Tokoya barber
9.7%
Tatami craftsman
20.9%
Izakaya
24.7%
emergingShare of Japanese business websites in each trade using a LocalBusiness-family type. The difference across trades is statistically significant (chi-square 594.3, p below 0.001). Source: Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.

Machine-readiness by trade, Japanese businesses with a reachable website (n=12,737). Score is the mean Machine-Readiness Score (0 to 100).

TradeSitesAny schemaLocalBusiness typeMean score
Izakaya101542.5%24.7%62.1
Tatami craftsman70345.7%20.9%62.1
Tokoya barber64832.9%9.7%55.6
Soba shop53631.0%7.8%52.7
Hanko/seal maker47360.0%7.8%55.4
Kimono shop89548.2%7.8%60.6
Ramen shop66433.7%7.7%55.1
Juku cram school83052.7%7.7%62.5
Udon shop45133.7%7.5%54.3
Sushi (counter)87230.6%7.3%53.5
Yaoya greengrocer40240.3%6.5%56.7
Tempura51826.8%6.2%51.2
Sento bathhouse60432.9%5.6%53.9
Yakitori58324.9%5.5%51.3
Tofu shop41931.5%5.0%52.1
Sakaya liquor101034.1%4.5%54.3
Ryokan inn123230.8%4.0%55.4
Wagashi confectioner88229.7%3.3%53.7

The investment effect

The established-business effect is mixed in Japan. LocalBusiness-type use showed no consistent rise with review volume, running from 10.1 percent for businesses with ten or fewer reviews down to 8.1 percent for those with more than five hundred, with a weak overall correlation to the readiness score (0.021). Star rating told a clearer story, rising from 7.0 percent for sites rated under 4.0 to 12.0 percent for the highest rated.

Reachability among sited businesses was 15.7 percent unreachable, and rose with how established a business was: 29.3 percent of the quietest businesses' sites responded, against 49.7 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.

In Japan, schema use is flat across review volume
10.1%
0-10 reviews
7.7%
11-50 reviews
8.1%
51-200 reviews
8.8%
201-500 reviews
8.1%
500+ reviews
emergingLocalBusiness-schema rate by Google review count, among Japanese businesses with a website. Source: Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.

How this compares

Set against the published record, the Japan 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 Japanese sites we read, at 63.2 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 Japan's SME and digital-adoption data, 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. Japanese businesses come out at about 2.3 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 Japan 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 Japan.

In Japan today, most businesses forgo machine-readability not out of neglect but because a mobile-first, messaging-first way of operating works well enough. The bet this study makes, and will test each quarter, is that as more discovery runs through engines that assemble answers, the businesses a machine can read will pull ahead of the ones it cannot.

None of this is a verdict on Japanese 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 Japan most businesses do not yet have.

A benchmark we intend to keep

This is the first Japan edition of a measurement we repeat every quarter, part of a multi-region program running the same method across the United States, India, Japan, and other economies. A single snapshot says where Japan stands; a series says which way it is moving.

Every wave holds the method fixed: the same trade set, 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 Japanese 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 15.7 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 Japan, 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

  • Only 43.4% of 34,831 map-listed independent Japanese businesses had a real website (15,107); the rest reach customers through social or messaging, not a machine-readable page

    emerging Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31

  • Among Japanese businesses with a website, 63.2% carried no structured data (95% CI 62.4-64.0%) and 91.4% had no LocalBusiness-family type

    emerging Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31

  • Combining both gaps, only about 2.3% of all map-listed Japanese businesses are fully machine-readable (one in 43), versus about 32.1% in the US edition

    emerging Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31

  • Only 5.4% of Japanese business websites were fully readable; 63.2% were machine-invisible; median Machine-Readiness Score 55/100

    emerging Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31

  • Machine-readiness differed by trade (chi-square 594.3, df 17, p<0.001): Wagashi confectioner lowest at 3.3%, Izakaya highest at 24.7%

    emerging Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31

  • The web-presence figure aligns with Japan's SME and digital-adoption data, independent corroboration that the measurement is sound

    established Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31; Small and Medium Enterprise Agency (Chusho-cho) / METI

  • 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

  1. If you run a small business in Japan with only a social or messaging presence, understand that a machine cannot read it; a real website is the first step to being found by search and AI.
  2. A website is necessary but not sufficient; add a LocalBusiness-family schema type so an engine can place you as a local entity.
  3. 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.
  4. The advantage of acting is unusually large here precisely because so few competitors have.
  5. 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

  • Web-presence here counts only a business's own website and excludes listings on the review-and-booking aggregators (Tabelog, Gurunavi, Hot Pepper) that many Japanese businesses use in place of a site. That is the right measure of an owner-controlled, machine-readable page, but it is stricter than a bare has-any-listed-link count; the professional-trades comparison, which rarely uses those food aggregators, is affected far less, so the compound fully-machine-readable figures are the more reliable comparison.
  • The sample is drawn from businesses with an active Google Business Profile on the map, the more-digital tier of Japanese 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 Japan. Reachability among sited businesses was 15.7%.
  • 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 Japan have a website?

In our audit of 34,831 independent Japanese businesses drawn from Google Business Profile map listings, 43.4 percent had a real website of their own. Because the sample is already the more-digital tier, the true rate across all Japanese businesses is likely lower.

How machine-ready are Japanese 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 Japan, 43.4 percent had a website and only about 2.3 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 34,831 independent Japanese businesses from Google Business Profile map listings across 30 cities and eighteen trade categories, recorded whether each had a real website, and for the 15,107 that did, read the homepage's structured data and on-page signals directly; 12,737 were reachable. Every figure is a value a tool returned in late July 2026, and the web-presence finding matches independent Japanese digital-economy estimates. The main limit is that the map sample is the more-digital tier, so it understates the gap.

Provenance

References

  1. Raveneye Global machine-readiness audit (Japan, July 2026): 34,831 independent Japanese small businesses sampled from Google Business Profile map listings across 30 cities x 18 trades; 15,107 had a real website, 12,737 of those were reachable and read; captured 2026-07-30 to 2026-07-31.
  2. 2024 White Paper on Small and Medium Enterprises in Japan (Cabinet decision press release) (Small and Medium Enterprise Agency (Chusho-cho) / METI, 2024-05-10) https://www.meti.go.jp/english/press/2024/0510_001.html
  3. World Economic Forum, 'Japan's succession problem: safeguarding heritage through business' (World Economic Forum, 2025-04) https://www.weforum.org/stories/2025/04/japan-business-succession-traditional/
  4. Japan Today, 'Do aging SME owners face the end of their business?' (Japan Today, 2024) https://japantoday.com/category/business/do-aging-sme-owners-face-the-end-of-their-business
  5. The Asahi Shimbun (AJW), reporting a MEXT nationwide school survey (The Asahi Shimbun / MEXT, 2025) https://www.asahi.com/ajw/articles/16444003
  6. Wikipedia, 'Seal (East Asia)' / 'Inkan' (Wikipedia, 2026-08) https://en.wikipedia.org/wiki/Seal_(East_Asia)
  7. Wikipedia, 'Kissaten' (Wikipedia, 2026-08) https://en.wikipedia.org/wiki/Kissaten
  8. Wikipedia, 'Wagashi' (Wikipedia, 2026-08) https://en.wikipedia.org/wiki/Wagashi
  9. 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
  10. 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
  11. LocalBusiness type and its subtypes, Schema.org https://schema.org/LocalBusiness
  12. 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.

Want this run on your own business, not a sample of strangers?

This audit measured the market in aggregate. A Machine-Readiness Score measures you: whether a machine can find and read your business, your structured data and on-page signals, and how you show up across search and AI answers, read for your business and your city. It is specialist-reviewed, with no guaranteed number and no obligation.