Kuroma
AI Readiness benchmark for Government / GovTech
Across 141 audited domains we have classified as Government / GovTech, the median AI Readiness score is 37 out of 100. That is 2 points below the median for all 30,738 audited domains in the corpus (39).
How the scores are distributed
Half of the 141 audited Government / GovTech domains score between 30 and 41. 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. Media Accessibility and Question Coverage & FAQ Presence 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 Government / GovTech | Fails corpus-wide | Difference | Audits counted |
|---|---|---|---|---|
| Citation-Worthiness AI Readiness · 7.5% of the total score · counted only on pages in a language it measures in full |
100% | 94% | +6 | 36 |
| Unique Value Proposition AI Readiness · 5.1% of the total score |
97% | 94% | +3 | 141 |
| E-E-A-T Signals Authority Signals · 7% of the total score · counted only on pages in a language it measures in full |
89% | 89% | 0 | 36 |
| Structured Data Quality On-Page Content · 4.5% of the total score |
88% | 96% | -8 | 141 |
| Trust & Brand Signals Authority Signals · 9% of the total score |
87% | 74% | +13 | 141 |
| Media Accessibility On-Page Content · 1.8% of the total score · counted only on pages this factor applies to |
85% | 87% | -2 | 128 |
| External Citations & References Authority Signals · 9% of the total score |
82% | 83% | -1 | 141 |
| Answer Box Potential AI Readiness · 7.2% of the total score |
81% | 68% | +13 | 141 |
| 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 |
81% | 85% | -4 | 36 |
| Schema Markup Completeness Technical Optimization · 1% of the total score |
79% | 63% | +16 | 141 |
| Crawlability & Accessibility Technical Optimization · 13% of the total score |
54% | 46% | +8 | 141 |
| AI Discoverability AI Readiness · 3% of the total score |
45% | 34% | +11 | 141 |
| Content Freshness AI Readiness · 5.7% of the total score |
44% | 49% | -5 | 141 |
| Heading Hierarchy On-Page Content · 2.8% of the total score |
30% | 28% | +2 | 141 |
| Raw HTML Availability AI Readiness · 1.5% of the total score |
27% | 24% | +3 | 141 |
| Mobile Optimization Technical Optimization · 4% of the total score |
23% | 14% | +9 | 141 |
| Page Performance Indicators Technical Optimization · 2% of the total score |
18% | 20% | -2 | 141 |
| Content Depth & Comprehensiveness On-Page Content · 6.5% of the total score |
15% | 14% | +1 | 141 |
| AI Readability Score On-Page Content · 3% of the total score |
7% | 8% | -1 | 133 |
Where Government / GovTech diverges from everyone else
Relative to the whole corpus, this industry is distinctively weak on Schema Markup Completeness (+16 points), Trust & Brand Signals (+13 points), Answer Box Potential (+13 points).
It is distinctively strong on Structured Data Quality (-8 points), Content Freshness (-5 points), Question Coverage & FAQ Presence (-4 points).
Schema Markup Completeness: fails on 79% of the 141 Government / GovTech audits it was measured on
Controlled tests show no AI-citation lift from schema.org markup, and Google states no special structured data is needed for AI features. Near-zero weight is kept only for classic rich results and Bing grounding.
Trust & Brand Signals: fails on 87% of the 141 Government / GovTech audits it was measured on
On-page trust badges are untested as a class; the evidenced trust channel is off-site reviews. Retained for publisher accountability (who publishes this, declared where a machine can read it) and for basic legitimacy signals such as contact routes and published policies.
Answer Box Potential: fails on 81% of the 141 Government / GovTech audits it was measured on
The real mechanism is passage self-containment: heading-scoped sections that stand alone match retrieval chunking, and fixing context-severed passages measurably cuts retrieval failures.
Audited Government / GovTech 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 |
|---|---|---|---|
| Municode Municipal Code Management for Governments (municode.com) | Grade A | 65/100 | 20 Aug 2026 |
| Best Online Casinos in Canada 2026 (opentreemap.org) | Grade A | 64/100 | 20 Aug 2026 |
| 神戸市道路公社 (kobe-toll-road.or.jp) | Grade B | 51/100 | 15 Sep 2026 |
| 一ツ葉有料道路 ／宮崎県道路公社 公式サイト (miyazaki-dk.or.jp) | Grade C | 46/100 | 16 Sep 2026 |
| 茨城県道路公社 (i-road.or.jp) | Grade C | 46/100 | 16 Sep 2026 |
| 独立行政法人エネルギー (www.jogmec.go.jp) | Grade C | 46/100 | 16 Sep 2026 |
| ホーム／養父市 (www.city.yabu.hyogo.jp) | Grade C | 46/100 | 16 Sep 2026 |
| 大阪府道路公社 (osaka-road.or.jp) | Grade C | 45/100 | 16 Sep 2026 |
| 大分県ホームページ トップページ (pref.oita.jp) | Grade C | 44/100 | 16 Sep 2026 |
Browse every audited site in the public audit archive.
See the full ranked list of 9 Government / GovTech sites →
How to read this
- What the sample is. The 141 domains we have audited and classified as Government / GovTech. 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.