Primary Audits
Machine-Readiness Audit: Southeast Asia, July 2026
The truer picture of the Southeast Asian market. We measured 55,020 independent Southeast Asian businesses in all, the majority across the eighteen trades that actually make up the high street, warung and warteg eateries, sari-sari and toko kelontong grocers, and more. Only 11.4% of those had a real website, and just 0.9% are fully machine-readable, far below what the Western-professional trades suggest.
Part of Discovery Science in the Insights library.
Abstract
Search and AI answers can only name a business a machine can read. We sampled 33,664 independent Southeast Asian small businesses from their Google Business Profile map listings across 27 cities and eighteen trade categories, and measured, first, whether each had a real website, and second, for the 3,840 that did (3,079 reachable), what their homepage exposed to a machine. 11.4 percent had a website. Among the sites, 50.1 percent carried no structured data at all and 87.0 percent no LocalBusiness-family type. Combining the two gaps, only about 0.9 percent of all map-listed Southeast Asian businesses are fully machine-readable, against about 32.1 percent in our US edition. The gap differed by trade (chi-square 97.0, 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 Southeast Asian firms is wider still. This is the first Southeast Asia edition of a benchmark we repeat each quarter across regions. Every figure is measured, not modeled.
Southeast Asia's commerce runs on social and messaging platforms more than on websites. The region's digital economy reached about 263 billion US dollars in 2024, and video and social commerce now make up roughly a fifth of its online sales, up fivefold since 2022. More than three in five Southeast Asians are active social-media users, above the global average. For the businesses that make up the everyday high street, a warung, a sari-sari store, a motorbike-repair kiosk, the shopfront is a phone number, a Facebook page, or a GoFood listing, not a page a search engine crawls. That is the Southeast Asia 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 11.4 percent of map-listed businesses have one.
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 Southeast Asia the effect compounds: only about 0.9 percent of map-listed businesses clear both filters, a real website and the local-entity markup on it, which is roughly one in 111.
This is the Southeast Asia 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 Southeast Asia wave of a quarterly, multi-region benchmark; the next waves will show whether the bar is rising, and the cross-region comparison sets Southeast Asia beside the other economies measured.
The data, in one read
In Southeast Asia, 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 Southeast Asia 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 33,664 independent Southeast Asian businesses drawn from their Google Business Profile map listings, only 11.4 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 Southeast Asian small-business web.
In Southeast Asia, 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 actually make up the Southeast Asian high street, from warung and warteg eateries, sari-sari and toko kelontong grocers, kopitiam coffee shops, and mamak stalls to motorbike-repair workshops, barbers, laundries, water-refill stations, and mobile-phone kiosks, across 27 Southeast Asian cities, keeping independent businesses and filtering out chains, directories, and aggregators. That produced 33,664 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 Southeast Asian high street, not the Western professional services a standard audit tends to sample, so the picture is truer to how the Southeast Asian market is actually organized.
For the 3,840 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. 3,079 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 11.4% of businesses have a website
The web-presence rate is the headline, because it is the first filter and the widest. Just 11.4 percent of map-listed Southeast Asian businesses had a website of their own. Southeast Asia's commerce runs on social and messaging platforms more than on websites. The region's digital economy reached about 263 billion US dollars in 2024, and video and social commerce now make up roughly a fifth of its online sales, up fivefold since 2022. More than three in five Southeast Asians are active social-media users, above the global average. For the businesses that make up the everyday high street, a warung, a sari-sari store, a motorbike-repair kiosk, the shopfront is a phone number, a Facebook page, or a GoFood listing, not a page a search engine crawls.
This is not a region that is offline; it is one of the most digitally engaged on earth. It has simply routed small-business commerce through social, messaging, and delivery-app surfaces that people, but not machines, can read. Micro-enterprises make up the overwhelming majority of the region's businesses, and when they do go online they do so through marketplaces and apps, not owned websites. Until the website exists, most Southeast Asian 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 3,079 reachable Southeast Asian sites, 50.1 percent carried no structured data at all (95 percent confidence interval 48.3 to 51.9 percent), and 87.0 percent had no LocalBusiness-family type. Sorted into tiers, 50.1 percent were machine-invisible and only 8.3 percent fully readable, with a median Machine-Readiness Score of 60 out of 100.
The one consistent bright spot is the human-facing basics: 94.2 percent mobile-ready, 99.3 percent secure, 63.6 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 45.9 percent carried a meta description, against 81.3 percent of sites that did.
The compound gap: about 0.9% are fully machine-readable
The two gaps multiply. Start with 100 map-listed Southeast Asian businesses. About 11 have a real website. Of those, 8.3 percent are fully readable. Put together, only about 0.9 of the original 100, roughly one in 111, 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 Southeast Asia that describes about 99 of every 100 businesses a customer sees on the map.
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 Southeast Asia they are not the businesses that make up the high street. The Southeast Asian small-business economy is built from warung and warteg eateries, sari-sari and toko kelontong grocers, motorbike-repair kiosks, barbers, mamak stalls, and laundries, 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, Southeast Asia looks like a 30.3-percent-website, 4.6-percent-machine-readable market. Measured across the eighteen trades that actually dominate the economy, it is a 11.4-percent-website, 0.9-percent-machine-readable one. The professional lens overstates Southeast Asia's machine-readiness by roughly 5.1 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 Southeast Asian high street.
So this edition leads with the truer picture: the 33,664 real Southeast Asian MSMEs across eighteen trades. We keep the twelve-trade subset too, measured on 21,356 businesses, because it is what lets Southeast Asia 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 55,020 Southeast Asian businesses, the majority of them the everyday trades that define the region. Read the atlas number as the internationally-comparable one, and this edition's number as the truer domestic one.
The gap by trade
Machine-readiness differed by trade. Ranking the eighteen by LocalBusiness-type use, Grocery/sundry was lowest at 3.5 percent and Barber highest at 24.5 percent. A chi-square test of trade against local-entity presence returns 97.0 on 17 degrees of freedom, past the 0.001 threshold. The pattern here runs by trade type rather than by profession: daily-need retail and food trades, grocery, water refill, the neighborhood eateries, sit lowest, while personal-care and repair trades such as barbers, tire shops, and car workshops sit highest, a different split from the professional-services pattern in the US and India editions.
Holding the trade set fixed across waves is what keeps the comparison consistent over time, even where a trade is sparse. In Southeast Asia, cells under 100 sites (Water refill, Mamak/halal eatery, Mixed-rice eatery, Motorcycle repair, Tire/vulcanizing) should be read with caution.
Machine-readiness by trade, Southeast Asian businesses with a reachable website (n=3,079). Score is the mean Machine-Readiness Score (0 to 100). Cells under 100 sites (Water refill, Mamak/halal eatery, Mixed-rice eatery, Motorcycle repair, Tire/vulcanizing) should be read with caution.
| Trade | Sites | Any schema | LocalBusiness type | Mean score |
|---|---|---|---|---|
| Barber | 147 | 50.3% | 24.5% | 60.5 |
| Tire/vulcanizing | 95 | 61.1% | 24.2% | 65.8 |
| Beauty salon | 204 | 52.9% | 20.1% | 61.4 |
| Massage/spa | 377 | 57.0% | 18.8% | 63.1 |
| Car workshop | 172 | 53.5% | 17.4% | 61.0 |
| Tailor | 249 | 54.6% | 16.1% | 60.9 |
| Motorcycle repair | 98 | 54.1% | 13.3% | 61.6 |
| Coffee shop/kopitiam | 227 | 48.9% | 13.2% | 58.5 |
| Bakery | 250 | 47.2% | 11.2% | 56.8 |
| Street food | 157 | 43.3% | 9.6% | 55.7 |
| Mixed-rice eatery | 90 | 35.6% | 8.9% | 54.2 |
| Mamak/halal eatery | 46 | 39.1% | 8.7% | 52.9 |
| Laundry | 170 | 43.5% | 8.2% | 55.3 |
| Photocopy/print | 188 | 47.3% | 7.4% | 55.9 |
| Pharmacy | 125 | 45.6% | 7.2% | 56.2 |
| Mobile phone shop | 259 | 53.7% | 6.6% | 59.2 |
| Water refill | 53 | 32.1% | 3.8% | 54.7 |
| Grocery/sundry | 172 | 44.8% | 3.5% | 53.8 |
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 7.3 percent for businesses with ten or fewer reviews to 13.8 percent for those with more than five hundred, though the correlation with the readiness score was weak (0.039). Star rating tracked the same way, from 9.3 percent for sites rated under 4.0 to 15.2 percent for the highest rated.
Reachability among sited businesses was 19.8 percent unreachable, and rose with how established a business was: 3.3 percent of the quietest businesses' sites responded, against 27.2 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 Southeast Asia 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 Southeast Asian sites we read, at 50.1 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 the Southeast Asian digital-economy literature, 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. Southeast Asian businesses come out at about 0.9 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 Southeast Asia 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 Southeast Asia.
In Southeast Asia 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 Southeast Asian 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 Southeast Asia most businesses do not yet have.
A benchmark we intend to keep
This is the first Southeast Asia edition of a measurement we repeat every quarter, part of a multi-region program running the same method across the United States, India, Southeast Asia, and other economies. A single snapshot says where Southeast Asia 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 Southeast Asian 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. Cells under 100 sites (Water refill, Mamak/halal eatery, Mixed-rice eatery, Motorcycle repair, Tire/vulcanizing) should be read with caution. Reachability among sited businesses was 19.8 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 Southeast Asia, 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 11.4% of 33,664 map-listed independent Southeast Asian businesses had a real website (3,840); the rest reach customers through social or messaging, not a machine-readable page
emerging Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Among Southeast Asian businesses with a website, 50.1% carried no structured data (95% CI 48.3-51.9%) and 87.0% had no LocalBusiness-family type
emerging Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Combining both gaps, only about 0.9% of all map-listed Southeast Asian businesses are fully machine-readable (one in 111), versus about 32.1% in the US edition
emerging Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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Only 8.3% of Southeast Asian business websites were fully readable; 50.1% were machine-invisible; median Machine-Readiness Score 60/100
emerging Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 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 97.0, df 17, p<0.001): Grocery/sundry lowest at 3.5%, Barber highest at 24.5%
emerging Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31
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The web-presence figure aligns with the Southeast Asian digital-economy literature, independent corroboration that the measurement is sound
established Raveneye Global machine-readiness audit (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31; Katadata Databoks / Kadin Indonesia
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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 Southeast Asia 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.
- 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 Southeast Asian 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 Southeast Asia. Cells under 100 sites (Water refill, Mamak/halal eatery, Mixed-rice eatery, Motorcycle repair, Tire/vulcanizing) should be read with caution. Reachability among sited businesses was 19.8%.
- 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 Southeast Asia have a website?
In our audit of 33,664 independent Southeast Asian businesses drawn from Google Business Profile map listings, 11.4 percent had a real website of their own. Because the sample is already the more-digital tier, the true rate across all Southeast Asian businesses is likely lower.
How machine-ready are Southeast Asian 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 Southeast Asia, 11.4 percent had a website and only about 0.9 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 33,664 independent Southeast Asian businesses from Google Business Profile map listings across 27 cities and eighteen trade categories, recorded whether each had a real website, and for the 3,840 that did, read the homepage's structured data and on-page signals directly; 3,079 were reachable. Every figure is a value a tool returned in late July 2026, and the web-presence finding matches independent Southeast Asian 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 (Southeast Asia, July 2026): 33,664 independent Southeast Asian small businesses sampled from Google Business Profile map listings across 27 cities x 18 trades; 3,840 had a real website, 3,079 of those were reachable and read; captured 2026-07-30 to 2026-07-31.
- Katadata Databoks (compiling Kadin/KemenKopUKM data): 'Number and distribution of UMKM workforce in Indonesia 2024' (Katadata Databoks / Kadin Indonesia, 2024) https://databoks.katadata.co.id/en/employment/statistics/68708c01af6c7/number-and-distribution-of-umkm-workforce-in-indonesia-2024
- 60 Decibels, 'Striving to Thrive: The State of Indonesian MSEs' (60 Decibels, 2026) https://60decibels.com/insights/indonesian-mses/
- Wikipedia, 'Warung' (Wikipedia, 2024) https://en.wikipedia.org/wiki/Warung
- The Jakarta Post, 'Backstory behind favorite dining spot of locals: warteg' (The Jakarta Post, 2017-01-09) https://www.thejakartapost.com/life/2017/01/09/backstory-behind-favorite-dining-spot-of-locals-warteg
- e-Conomy SEA 2024 coverage citing Indonesia's 2024 E-Commerce Statistics (BPS) (Google, Temasek & Bain (e-Conomy SEA 2024) / BPS, 2024-11) https://www.bain.com/insights/e-conomy-sea-2024/
- e-Conomy SEA 2024 report / Evlogia Advisory analysis (Google, Temasek & Bain (e-Conomy SEA 2024), 2024-11-15) https://www.evlogiaadvisory.com/2024/11/15/e-conomy-sea-2024-digital-transport-and-food-operators-hold-their-ground-amidst-rising-competition-in-indonesia/
- BPS-Statistics Indonesia, Economic Census 2016, Wholesale & Retail Trade; Repair of Motor Vehicles and Motorcycles (BPS-Statistics Indonesia (Badan Pusat Statistik), 2018-12-31) https://www.bps.go.id/en/publication/2018/12/31/ec6f6df5878fe31b6c922905/hasil-pendataan-usaha-perusahaan-perdagangan-besar-dan-eceran-reparasi-dan-perawatan-mobil-dan-sepeda-motor-sensus-ekonomi-2016-lanjutan-indonesia
- 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.