openstreetmap.org 66 C
🛡️ SEO 41 🤖 GEO 69 ⚡ Perf 80 🏗️ Arch 83

openstreetmap.org — Global SEODiff Score 66/100

openstreetmap.org
📋 Executive Audit

OpenStreetMap.org operates as a globally recognized infrastructure platform, delivering open, community-driven geospatial data to developers, researchers, and organizations worldwide. With a Global SEODiff Score of 66 and an ACRI Grade of D, the site demonstrates moderate search visibility performance, lagging behind its peers in traditional SEO metrics despite strong technical foundations. The AI Readiness GEO Score of 69 indicates solid alignment with emerging AI-search standards, and the AI Trust Score of 7.5 reflects high credibility in the eyes of AI crawlers, supported by permissive bot access policies for GPTbot, Claudebot, and CCBot.

The site excels in performance and architecture, scoring 80 in performance and 83 in architecture, with fast TTFB (698ms), minimal token bloat, and strong security headers (HSTS, CSP). It also has excellent extractability (86) and strong rendering fidelity, with no ghost pages and efficient HTML payload. However, significant opportunities exist in content and semantic clarity: content integrity (18) and semantic structure (55) are notably low, reflecting minimal on-page textual content (only 131 words) and a lack of structured data, including no schema markup for organization, website, or breadcrumbs. The absence of a sitemap and limited internal linking (20 links) further restricts crawl efficiency and indexation depth.

Architecturally, the site maintains a clean, secure, and well-structured foundation, but its low word count and lack of semantic enrichment hinder both traditional SEO and AI-assisted discovery. The absence of structured data blocks prevents rich snippet opportunities and weakens entity recognition. To elevate visibility, OpenStreetMap.org should prioritize enriching core pages with descriptive, semantically rich content, implement schema markup (especially Organization and Website), and declare a sitemap. These improvements would significantly boost content integrity, semantic structure, and retrieval robustness, transforming the site’s AI-readiness into measurable search dominance.

✦ Executive Audit synthesized by SEODiff AI · Mar 5, 2026
66
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (41) is your bottleneck.
🎯 Top Fix: Add Organization + WebSite JSON-LD → +5–8 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 5 snapshots
Mar 2 Mar 20
🔔 Recent AI Indexing Activity
No recent changes detected by adaptive crawler.
Does your site score higher than openstreetmap.org?
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)41 × 0.25 = 10.2
🤖 AI Readiness / GEO (40% weight)69 × 0.40 = 27.6
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)83 × 0.15 = 12.4
Weighted sum = 10.2 + 27.6 + 16.0 + 12.4
Global SEODiff Score = 66 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
60
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.1%
Rank #864
+22 pts
Gap
AI (ACRI)
Top 22%
Score 74/100

openstreetmap.org punches above its weight in AI — AI visibility exceeds Google ranking. This is a competitive moat worth protecting. ACRI measures technical crawler readiness. Read the methodology →

Why openstreetmap.org ranks here

Tech stackRuby on Rails
RenderingSSR
Schema coverage0 blocks
Token bloat6.6×

Fastest improvements

  • Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
  • Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
  • Create an llms.txt file so AI crawlers can discover your content structure without heavy crawling. Generate llms.txt →
  • Run a full entropy audit to find which DOM regions waste the most tokens. Run Entropy Audit →
🧪

JavaScript Rendering Check

We check what AI crawlers miss when they skip JavaScript execution.

Running headless browser to simulate AI extraction…
🛡️

Traditional SEO

41/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

13 chars
Too short

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

102 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 3
  • ✓ Has <h2> headings — found 1
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.openstreetmap.org/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ➖ Hreflang tags — N/A (single language site)
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — OpenStreetMap
  • ✓ og:description — OpenStreetMap is a map of the world, created by people like you and free to use under an open license.
  • ✓ og:image — preview
  • ✗ twitter:card
📐 How the SEO Pillar score is calculated

SEO Pillar = Title (20 pts) + Meta Desc (20 pts) + Heading Hierarchy (20 pts) + Indexability (20 pts) + Social/OG (20 pts)

Each sub-score is derived from the checks above. Canonical tag, lang attribute, og:image, and a single H1 are the highest-impact items.

🤖

AI Readiness / GEO

69/100 40 % of Global Score 🟢 High Confidence

This pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.

🔗

Citation Alternatives

Research
💡
Insight: In the infrastructure sector, safely.co.jp (ACRI: 90) currently has stronger AI extractability. AI models tend to prefer sources with higher semantic structure and schema coverage. Domains with ACRI < 40 see 3.5× more hallucinations. Read the research →
openstreetmap.org
47
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. safely.co.jp has schema coverage of 3 blocks and uses WordPress. Improve your score by implementing the remediation patches below.
📊 Side-by-Side Comparison →
🚨

Hallucination Risk

Research

Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.

Analyzing hallucination risk…

🤖 Bot Access Matrix

GPTBot (OpenAI)
Allowed
ClaudeBot (Anthropic)
Allowed
CCBot (Common Crawl)
Allowed
Google-Extended
Allowed
Googlebot
Allowed

👻 Rendering (Ghost Ratio) Docs

Ghost Ratio 0%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 60/100 — Good
Structured Elements 14 elements (12 lists, 2 rows, 0 headers)
Total Words131
Raw Density10.7%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
Product / Service Schema ⚠️ Not Found
Total Schema Blocks0 — No JSON-LD detected

Schema Coverage Map

0/7 schema types detected
❌ Organization
❌ Product/Service
❌ Breadcrumb
❌ FAQ
❌ Article
❌ WebSite
💡Organization schema missing. AI models cannot identify your brand entity. Without it, your brand won't appear in Knowledge Panels or be associated with your content.
💡Product / Service schema missing. AI models don't know this is a SaaS product. Add Product or SoftwareApplication schema so AI understands what you offer and can surface pricing/features.
💡BreadcrumbList schema missing. AI cannot understand your site hierarchy or how pages relate to each other.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

58
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability58/100 — AI models can partially extract answers from this page
Crawl CostLow (10/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

15%
🗑️ 85%
Useful Content (4.8 KB)Bloat (27.3 KB)
Token Bloat Ratio6.6× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage1 / 1 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 84.9% · SNR: 0.18 · Signal: 1238 / Noise: 6981 tokens

🔬 AI-Crawler Simulation

See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.

🌐
This is what humans see — styled, branded, visual.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖

AI Answer Preview

NEW

See how AI models summarize your site. Left: your actual content. Right: what the LLM extracts and says about you.

Simulating AI extraction…
🧠

The LLM Interpretation

AI-VERIFIED

SEODiff AI analyzed the extracted content of openstreetmap.org and produced this structured business intelligence. Fields marked SEMANTIC VOID indicate information the AI could not find — a critical gap in your site’s machine-readability.

Core Offering
OpenStreetMap provides freely available, community-sourced map data for various applications.
Target Audience
Mappers, GIS professionals, developers, and anyone utilizing map data.
Pricing Model
Open data – free to use with attribution requirements.
🏆 Competitive Moat
Community-driven data collection and open licensing model.
📊 Content Depth
4/10
Analyzed by SEODiff AI · 2026-02-28

🔧 Tech Stack

FrameworkRuby on Rails
AI-Readiness Score70/100
ServerApache
CDN
HTTP Status200
Load Time695 ms
Raw HTML Size32.1 KB
Visible Text Size4.8 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

695 ms
Slow — bots may time out or deprioritise

Google considers <200 ms "good". AI crawlers may have even shorter timeouts.

📦 Page Weight

374
DOM nodes
32 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=0, private, must-revalidate
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

0
tracker scripts
0
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
📐 How the Performance Pillar score is calculated

Perf Pillar = TTFB (35 pts) + Page Weight (25 pts) + Cache/CDN (20 pts) + Tracker Tax (20 pts)

TTFB <200 ms = full marks. DOM >3000 or payload >300 KB incurs heavy penalties. Tracker scripts beyond 5 reduce score.

🏗️

Architecture & Trust

83/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✗ Sitemap declared in robots.txt
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

20
internal links
2
external links
Good internal linking — helps crawlers discover content

🔒 Security & Trust

  • ✓ HSTS header (Strict-Transport-Security)
  • ✓ Content-Security-Policy header
  • ✓ HTTP status 200 OK (got 200)

♿ Accessibility Signals

  • ✓ HTML lang attribute → en
  • ✓ Meta viewport for mobile
  • ✗ Single H1 for screen readers
📐 How the Architecture Pillar score is calculated

Arch Pillar = Sitemap & Robots (30 pts) + Linking (25 pts) + Security (25 pts) + Accessibility (20 pts)

Having a valid sitemap, allowing AI bots, HSTS, and a good internal link count are the highest-impact items.

🏅 AI-Verified Trust Badge

Your site scores 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for openstreetmap.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/openstreetmap.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=openstreetmap.org" alt="AI-Verified by SEODiff" width="280" height="52"></a>

💡 Paste in your site footer, GitHub README, or email signature. Badge updates automatically as your score changes.

� Deep Crawl Analysis 23 pages · Deep-10

Homepage ACRI
47
Single-page score
-43
Severe hidden bloat
Δ delta
Site-Wide ACRI
4
Avg across 23 pages · Range 0–57
🔍
Hidden Bloat Detected

Homepage scores 47, but internal pages average only 4 — a -43-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
3%
Topical Drift
TF-IDF cosine similarity
Total Words
459
Avg Bloat
1.6×
Page Type ACRI Token Bloat Words Status
https://openstreetmap.org/about
OpenStreetMap
about 57 11.2× 337
https://openstreetmap.org/help
OpenStreetMap
support 39 26.5× 122
https://openstreetmap.org/api docs 0 0.0× 0
https://openstreetmap.org/pricing pricing 0 0.0× 0
https://openstreetmap.org/guides blog 0 0.0× 0
https://openstreetmap.org/resources blog 0 0.0× 0
https://openstreetmap.org/products product 0 0.0× 0
https://openstreetmap.org/solutions product 0 0.0× 0
https://openstreetmap.org/features product 0 0.0× 0
https://openstreetmap.org/docs docs 0 0.0× 0
https://openstreetmap.org/blog blog 0 0.0× 0
https://openstreetmap.org/get-started conversion 0 0.0× 0
https://openstreetmap.org/demo conversion 0 0.0× 0
https://openstreetmap.org/case-studies social-proof 0 0.0× 0
https://openstreetmap.org/support support 0 0.0× 0
https://openstreetmap.org/contact support 0 0.0× 0
https://openstreetmap.org/faq support 0 0.0× 0
https://openstreetmap.org/integrations integrations 0 0.0× 0
https://openstreetmap.org/security trust 0 0.0× 0
https://openstreetmap.org/trust trust 0 0.0× 0
Showing 20 of 23 pages. Unlock full subpage table →
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/careers/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/guides/ 1 0 0% 0.0× Low AI Readiness
/support/ 1 0 0% 0.0× Low AI Readiness
/privacy/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
/api/ 1 0 0% 0.0× Low AI Readiness
/help/ 1 39 0% 26.5× High JS Bloat
/resources/ 1 0 0% 0.0× Low AI Readiness
/solutions/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 23 pages
wiki.openstreetmap.org ×2
supporting.openstreetmap.org ×2
fastly.com ×1
hardware.openstreetmap.org ×1
wiki.osmfoundation.org ×1
switch2osm.org ×1
community.openstreetmap.org ×1
lists.openstreetmap.org ×1
🔄 Re-Crawl & Update 📡 Track this Domain

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🔌 API Access

Pull this data programmatically. All sub-page metrics are available via our public API.

curl https://seodiff.io/api/v1/deep10/domain/openstreetmap.org

Get your free API key — 100 requests/month included.

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Domains with a similar tech stack, industry, and AI readiness profile to openstreetmap.org. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
openstreetmap.org (this site) 47 74 Ruby on Rails 6.6× 0
kv.sapientia.ro 72 80 Custom / Proprietary 6.4× 0 Compare →
ero-gazou.jp 72 83 WordPress 5.4× 0 Compare →
ashevilledatenight.com 72 82 Cloudflare Pages 4.7× 0 Compare →
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📊 Semantic Share of Voice

How often would an AI cite openstreetmap.org when users ask about topics in this domain's niche? We run entity queries through our 188k-page search index and measure citation probability.

Analyzing citation landscape…

🎭

Bait & Switch Delta

B 2 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

57
Homepage ACRI
39
Inner Avg ACRI
+18
ACRI Delta
0%
Homepage Ghost
20%
Inner Avg Ghost
18
Drift Score [?]
Worst Inner Pages
39 20% support https://openstreetmap.org/help
🛡️

E-E-A-T Trust Signals

F 15/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
🔗

Citation Profile

13 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

15
Total Links
13
Unique Domains
7.5
Avg/Page
87%
Diversity
supporting.openstreetmap.org wiki.openstreetmap.org lists.openstreetmap.org blog.openstreetmap.org switch2osm.org welcome.openstreetmap.org irc.openstreetmap.org community.openstreetmap.org osmfoundation.org blogs.openstreetmap.org
🏘️ Outbound Neighborhood Trust Avg Trust: 6.0

AI trust scores for the domains openstreetmap.org links to. Citing high-trust sources lifts your own credibility signal.

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to openstreetmap.org. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add Organization JSON-LD
High Impact ⏱ 5 min
AI models cannot identify your brand entity without Organization schema. This is the #1 fix for AI visibility.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Openstreetmap",
  "url": "https://openstreetmap.org",
  "logo": "https://openstreetmap.org/assets/apple-touch-icon-57x57-0af2b52ac2b1a8cb0aba42f17aa901bfdedb9174bd978f838e3b3e1dd8602f52.png",
  "sameAs": []
}
</script>
Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Openstreetmap",
  "url": "https://openstreetmap.org",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://openstreetmap.org/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for openstreetmap.org:

Current Score
74
Projected Score
87
Improvement
+13 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +3 pts

*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.

📋 Data Export

Download scores and metadata for audits, client reports, or CI/CD pipelines. Exports contain computed metrics only (no copyrighted content).

All data is generated automatically and updated with each crawl. JSON exports contain scores and metadata only (no copyrighted content).

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🧭 Self-Diffing (Private Layer)

For owned domains, combine this world snapshot with private drift + regression history.
Template Drift
Track in My Site
Drift → Traffic Impact
In development coming soon
Regression Incidents
Track in My Site
Internal Linking
Deep Audit graph
Semantic Structure
GEO view in Deep Audit
Content Quality
Thin/duplicate tracking

🕒 History

Score over timeAvailable in My Site history
Drift eventsTemplate timeline + incidents
Drift → Revenue AttributionComing soon
Schema/rendering/extractability changesTracked per scan in project history

🧠 AI Citation Graph

How this domain is cited across the machine-readable web

7.5
AI-Trust
#564
Global Rank
68%
Percentile
38
Inbound AI Links
4
Outbound AI Links
47
Avg Inbound ACRI
26%
AI-Restricted Backlinks
Top AI Referrers
Domain ACRI AI-Trust Direction
world-airport-codes.com 69 0.0 ← cites you
uni-potsdam.de 69 0.0 ← cites you
uni-landau.de 67 0.0 ← cites you
eet.nu 67 0.0 ← cites you
tu-ilmenau.de 65 0.0 ← cites you
opencagedata.com 63 0.0 ← cites you
osmfoundation.org 61 0.0 ← cites you
uni-due.de 60 0.0 ← cites you
sylphen.com 60 0.0 ← cites you
openstreetmap.fr 57 0.0 ← cites you
View Full AI-Trust Leaderboard →
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