Kuroma
AI Readiness benchmark for Retail Tech / POS
Across 100 audited domains we have classified as Retail Tech / POS, the median AI Readiness score is 42 out of 100. That is 3 points above the median for all 30,738 audited domains in the corpus (39).
How the scores are distributed
Half of the 100 audited Retail Tech / POS domains score between 34 and 49. The corpus-wide interquartile range, across all 30,738 audited domains, is 32 to 45.
Which factors this industry fails most often
The rubric scores 19 factors. A factor counts as failed here when a site scores below 50 out of 100 on it. The last column is how many audits each rate was calculated from. Question Coverage & FAQ Presence and Media Accessibility are not scored on every kind of page: a rankings table or a paginated index has no question to answer and no image to caption. Citation-Worthiness, E-E-A-T Signals and Question Coverage & FAQ Presence lean on English-language patterns, so on a page written in another language they are scored out of a smaller total. Those rows therefore leave out every audit of a page the factor was not scored on the same scale, and every audit that did not record enough about the page for us to tell. Every other row counts every audit in this industry that scored the factor.
| Factor | Fails in Retail Tech / POS | Fails corpus-wide | Difference | Audits counted |
|---|---|---|---|---|
| Structured Data Quality On-Page Content · 4.5% of the total score |
98% | 96% | +2 | 100 |
| Citation-Worthiness AI Readiness · 7.5% of the total score · counted only on pages in a language it measures in full |
95% | 94% | +1 | 55 |
| E-E-A-T Signals Authority Signals · 7% of the total score · counted only on pages in a language it measures in full |
93% | 89% | +4 | 55 |
| Question Coverage & FAQ Presence On-Page Content · 6.5% of the total score · counted only on pages this factor applies to, in a language it measures in full |
87% | 85% | +2 | 54 |
| Unique Value Proposition AI Readiness · 5.1% of the total score |
87% | 94% | -7 | 100 |
| Media Accessibility On-Page Content · 1.8% of the total score · counted only on pages this factor applies to |
80% | 87% | -7 | 92 |
| Content Freshness AI Readiness · 5.7% of the total score |
73% | 49% | +24 | 100 |
| Answer Box Potential AI Readiness · 7.2% of the total score |
63% | 68% | -5 | 100 |
| External Citations & References Authority Signals · 9% of the total score |
61% | 83% | -22 | 100 |
| Trust & Brand Signals Authority Signals · 9% of the total score |
61% | 74% | -13 | 100 |
| Schema Markup Completeness Technical Optimization · 1% of the total score |
60% | 63% | -3 | 100 |
| Crawlability & Accessibility Technical Optimization · 13% of the total score |
40% | 46% | -6 | 100 |
| AI Discoverability AI Readiness · 3% of the total score |
30% | 34% | -4 | 100 |
| Raw HTML Availability AI Readiness · 1.5% of the total score |
25% | 24% | +1 | 100 |
| Page Performance Indicators Technical Optimization · 2% of the total score |
24% | 20% | +4 | 100 |
| Heading Hierarchy On-Page Content · 2.8% of the total score |
18% | 28% | -10 | 100 |
| Content Depth & Comprehensiveness On-Page Content · 6.5% of the total score |
12% | 14% | -2 | 100 |
| Mobile Optimization Technical Optimization · 4% of the total score |
7% | 14% | -7 | 100 |
| AI Readability Score On-Page Content · 3% of the total score |
6% | 8% | -2 | 97 |
Where Retail Tech / POS diverges from everyone else
Relative to the whole corpus, this industry is distinctively weak on Content Freshness (+24 points), E-E-A-T Signals (+4 points), Page Performance Indicators (+4 points).
It is distinctively strong on External Citations & References (-22 points), Trust & Brand Signals (-13 points), Heading Hierarchy (-10 points).
Content Freshness: fails on 73% of the 100 Retail Tech / POS audits it was measured on
Freshness is the only unanimous causal gatekeeper across engines in the 2026 evidence base, and AI-cited content skews measurably fresher at web scale. Google AI Overviews is the documented exception.
E-E-A-T Signals: fails on 93% of the 55 Retail Tech / POS audits it was measured on
No study tests author bios as a causal AI-citation lever; the real authority channel is off-site brand footprint. On-page bylines and dates are kept as best-practice hygiene at reduced weight.
Page Performance Indicators: fails on 24% of the 100 Retail Tech / POS audits it was measured on
Speed correlations with AI visibility are weak and driven by extreme outliers; no platform names speed as a factor, so this stays a low weight and a coarse ladder. A fetch that fails scores zero. Otherwise the page is graded on what a crawler has to do to read it: how many scripts and stylesheets block the page appearing, and how much markup it spends per word of content.
Audited Retail Tech / POS sites with a public report card
Each of these sites has a public AI Readiness report card from a real audit. Scores are point-in-time; the card shows what was measured and when.
| Site | Grade | Score | Audited |
|---|---|---|---|
| Point of Sale Solutions For Businesses (eposnow.com) | Grade A | 72/100 | 20 Aug 2026 |
| www.aeonet.co.jp | Grade A | 70/100 | 16 Sep 2026 |
| 居雅堂 (jytdesign.com.tw) | Grade A | 69/100 | 20 Aug 2026 |
| 潤舍．生活家居 (luxurylife.com.tw) | Grade A | 67/100 | 20 Aug 2026 |
| Cloud Retail POS & Inventory Management Software (erply.com) | Grade A | 66/100 | 20 Aug 2026 |
| Mountain Living (mountainliving.com.tw) | Grade A | 65/100 | 20 Aug 2026 |
| AJ2 愛家概念 (aj2.com.tw) | Grade C | 49/100 | 20 Aug 2026 |
| 東芝テック株式会社 (www.toshibatec.co.jp) | Grade C | 49/100 | 16 Sep 2026 |
| JR北海道フレッシュキヨスク株式会社 (hkiosk.co.jp) | Grade C | 49/100 | 15 Sep 2026 |
| 八木橋百貨店 (yagihashi.co.jp) | Grade C | 44/100 | 16 Sep 2026 |
| www.toyota.com.tw | Grade D | 37/100 | 26 Jun 2026 |
Browse every audited site in the public audit archive.
See the full ranked list of 11 Retail Tech / POS sites →
How to read this
- What the sample is. The 100 domains we have audited and classified as Retail Tech / POS. That is a sample of the industry, not a census: it is the set of sites our crawler has reached and scored, and it carries whatever bias that selection has.
- Rubric version 2026-08-13. Every figure here comes from audits scored on this single rubric generation. Scores from different generations measure different things, so they are never mixed. Compatible generations: 2026-08-13.
- Why there are no company names. These are aggregates. We do not publish which domains sit at the bottom of a distribution, and the queries behind this page cannot return a domain name.
- Publishing floor. We publish an industry only once it reaches 100 audited domains, and a factor's failure rate only once 30 audits in the industry count toward that factor. Below either floor the number would move with a handful of sites, so we withhold it.
- What the audit can and cannot see. This audit measures citation readiness: how easily AI engines can crawl, extract, and quote these pages. It cannot see the off-site brand footprint (mentions, reviews, third-party coverage) that gates whether AI engines retrieve a brand at all; Kuroma's visibility scans and off-site signals track that side. Read the full methodology.