openstreetmap.fr 71 B
🛡️ SEO 64 🤖 GEO 80 ⚡ Perf 68 🏗️ Arch 65

openstreetmap.fr — Global SEODiff Score 71/100

openstreetmap.fr
📊

With a solid 77/100 ACRI, openstreetmap.fr is well-positioned for AI search — better than 86% of sites in the Radar. Compared to other infrastructure sites (avg score: 57), openstreetmap.fr performs above the benchmark, suggesting strong competitive positioning in AI search. Its server-rendered architecture ensures AI crawlers receive complete HTML on first request, a key advantage for extractability. A 5.1× bloat ratio is typical for sites in this tech tier — not wasteful, but streamlining could further boost extractability. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.

71
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (64) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 21, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 2 Mar 21
🔔 Recent AI Indexing Activity
🔄 Mar 12 Content change detected
Does your site score higher than openstreetmap.fr?
Run the same 40-signal audit on your own domain — free, instant results.
Scan Your Site Free →
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)65 × 0.15 = 9.8
Weighted sum = 16.0 + 32.0 + 13.6 + 9.8
Global SEODiff Score = 71 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
37
Structure
avg 35
42
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 1%
Rank #13667
+13 pts
Gap
AI (ACRI)
Top 14%
Score 77/100

openstreetmap.fr shows stronger AI visibility than traditional SEO ranking. Great AI foundation to build on. ACRI measures technical crawler readiness. Read the methodology →

Why openstreetmap.fr ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat5.1×

Fastest improvements

  • 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

64/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

30 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

566 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 2
  • ✓ Has <h2> headings — found 11
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — Accueil - OpenStreetMap France
  • ✓ og:description — OpenStreetMap est un projet cartographique, en ligne et mondial. Chacun peut l'actualiser ou l'améliorer. Il suffit de participer en ajoutant des données de terrain vérifiables. Son ambition est d'offrir librement toutes ces données cartographiques et de permettre leurs réutilisations. OpenStreetMap, c'est avant tout une communauté de personnes qui contribuent et partagent chaque jour des informations sur leurs territoires. Plus d'un million de personnes ont déjà participé pour créer des données libres, des cartes ouvertes et des services innovants.
  • ✗ og:image
  • ✓ twitter:card — summary_large_image
📐 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

80/100 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.fr
57
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 37/100 — Low
Structured Elements 25 elements (25 lists, 0 rows, 0 headers)
Total Words625
Raw Density4.0%
💡Low structure score (37/100). Your content appears as a wall of text with few structured HTML elements. You have 25 list items, 0 table rows, 0 table headers. Convert features into <ul> lists and data into <table> elements to help AI models extract structured information.

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks1 block(s) — Basic (low value for AI)

Schema Coverage Map

3/7 schema types detected
✅ Organization
❌ Product/Service
✅ Breadcrumb
❌ FAQ
❌ Article
✅ WebSite
💡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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

66
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability66/100 — 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

19%
🗑️ 81%
Useful Content (8.4 KB)Bloat (34.6 KB)
Token Bloat Ratio5.1× — Normal

Multimodal Readiness

Visual Context71% Optimized for Vision
Image Alt Coverage10 / 14 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: 80.4% · SNR: 0.24 · Signal: 2155 / Noise: 8855 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.fr 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 France hosts the State of the Map (SoM) conference, a yearly event for OpenStreetMap contributors and enthusiasts to connect,
Target Audience
OpenStreetMap contributors, GIS professionals, data enthusiasts, local community organizers, and anyone interested in free and open-source mapping.
Pricing Model
Free to attend the conference; membership in OpenStreetMap France is required for voting at the association’s general assembly.
🔗 Integration Partners
PanoramaxOpaVotePeertube
🏆 Competitive Moat
Strong community-driven event with a focus on collaborative mapping and data enrichment, leveraging a decade of experience and a dedicated network of contributors and institutions.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Event listing pagesAssociation pagesOpenStreetMap France forumOpenStreetMap Wiki
⚡ Key Pain Points
• Potential for inconsistent tagging practices in gas network data
• Need for improved data quality and precision in gas network mapping
• Challenges in integrating diverse data sources (e.g., aerial imagery, Cadastre) for gas network mapping
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Servernginx/1.22.1
CDN
HTTP Status200
Load Time1864 ms
Raw HTML Size43.0 KB
Visible Text Size8.4 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1864 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

330
DOM nodes
43 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ 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

65/100 15 % of Global Score 🟡 Medium Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

41
internal links
17
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 → fr-FR
  • ✓ 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 57/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for openstreetmap.fr
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/openstreetmap.fr" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=openstreetmap.fr" 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 140 pages · Deep-10

Homepage ACRI
57
Single-page score
+5
Consistent readability
Δ delta
Site-Wide ACRI
63
Avg across 140 pages · Range 0–90
Topical Cohesion
10%
Topical Drift
TF-IDF cosine similarity
Total Words
121067
Avg Bloat
35.3×
Page Type ACRI Token Bloat Words Status
https://www.openstreetmap.fr/blog/
Blog - OpenStreetMap France
pricing 90 3.6× 7603 💰 Pricing
https://openstreetmap.fr/blog
Blog - OpenStreetMap France
pricing 90 3.6× 7603 💰 Pricing
https://www.openstreetmap.fr/retour-sur-le-sotm-2018-de-bordeaux-article-n2/
Retour sur le SotM-FR 2018 de Bordeaux (suite) - OpenStreetMap France
blog 90 3.3× 3714
https://www.openstreetmap.fr/croisement-de-donnees-entre-openstreetmap-et-des-donnees-metiers/
Croisement de données entre OpenStreetMap et des données métiers - OpenStreetMap France
other 90 4.7× 3386
https://www.openstreetmap.fr/retour-sur-le-sotm-fr-2018-de-bordeaux-suite/
Retour sur le SotM-FR 2018 de Bordeaux (suite) - OpenStreetMap France
other 90 3.8× 2791
https://www.openstreetmap.fr/libre-a-vous-sur-radio-cause-commune/
« Libre à vous ! » sur radio Cause Commune - OpenStreetMap France
other 90 2.2× 8931
https://www.openstreetmap.fr/author/infosreseaux/
InfosReseaux, auteur sur OpenStreetMap France
pricing 90 4.7× 4649 💰 Pricing
https://www.openstreetmap.fr/author/openstreetmap-france/
OpenStreetMap France, auteur sur OpenStreetMap France
auth 90 3.9× 5447
https://www.openstreetmap.fr/author/barnes38/
Paul Desgranges, auteur sur OpenStreetMap France
pricing 90 4.8× 4177 💰 Pricing
https://www.openstreetmap.fr/le-reseau-gazier-francais-dans-openstreetmap/
Le réseau gazier Français dans OpenStreetMap - OpenStreetMap France
other 85 9.6× 839
https://www.openstreetmap.fr/donnees/
Données - OpenStreetMap France
other 85 9.6× 735
https://www.openstreetmap.fr/statuts-dopenstreetmap-france/
Statuts d'OpenStreetMap France - OpenStreetMap France
other 85 6.6× 1059
https://www.openstreetmap.fr/retour-sur-le-state-of-the-map-2022-en-italie/
Retour sur le State of the Map 2022 en Italie - OpenStreetMap France
other 85 5.6× 2592
https://www.openstreetmap.fr/projet-du-mois-defibrillateurs/
Projet du mois défibrillateurs : sauvons des vies ! - OpenStreetMap France
other 85 7.0× 1665
https://www.openstreetmap.fr/un-double-numerique-du-reseau-electrique-francais/
Un double numérique du réseau de transport électrique français - OpenStreetMap France %
other 85 7.8× 1566
https://www.openstreetmap.fr/les-bonnes-pratiques-pour-contribuer-a-openstreetmap-en-snt/
Les bonnes pratiques pour contribuer à OpenStreetMap en SNT - OpenStreetMap France
other 85 7.5× 1084
https://www.openstreetmap.fr/lettre-ouverte-lodbl-la-licence-par-excellence-pour-lopen-data-dans-le-transport/
Lettre ouverte : L’ODbL : La licence par excellence pour l’Open Data dans le transport - OpenStreetMap France
other 85 6.9× 1206
https://www.openstreetmap.fr/openstreetmap-la-carto-no-limit/
OpenStreetMap, la carto NO-LIMIT - OpenStreetMap France
ecommerce 85 7.9× 950
https://www.openstreetmap.fr/lunion-europeenne-doit-poursuivre-le-financement-des-logiciels-libres/
L’Union Européenne doit poursuivre le financement des logiciels libres - OpenStreetMap France
other 85 8.3× 870
https://www.openstreetmap.fr/adaptation-reseaux-electriques-changement-climatique-openstreetmap/
Réseaux électriques, changement climatique et OpenStreetMap
other 85 5.5× 2229
Showing 20 of 100 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
/author/ 23 68 0% 30.7× High JS Bloat
/accueil/ 7 47 0% 77.2× High JS Bloat
/contact/ 2 75 0% 12.8× High JS Bloat
/association/ 2 54 0% 48.9× High JS Bloat
/blog/ 2 90 0% 3.6× Healthy
/usage/ 1 65 0% 13.4× High JS Bloat
/fonds-de-carte/ 1 65 0% 15.0× High JS Bloat
/donnees/ 1 85 0% 9.6× High JS Bloat
/geo-communs-chiche/ 1 85 0% 7.7× High JS Bloat
/convocation-a-lassemblee-generale-ordinaire-2021/ 1 75 0% 13.7× High JS Bloat
/qwant-integre-le-projet-ca-reste-ouvert-a-sa-carte/ 1 75 0% 12.3× High JS Bloat
/memorandum-pour-du-libre-et-de-lopen-en-conscience/ 1 65 0% 15.4× High JS Bloat
/retour-sur-le-sotm-2018-de-bordeaux-article-n2/ 1 90 0% 3.3× Healthy
/state-of-the-map-2018-a-milan/ 1 85 0% 5.1× High JS Bloat
/convocation-a-lassemblee-generale-ordinaire-2020/ 1 65 0% 14.9× High JS Bloat
🔄 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.fr

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

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📊 Semantic Share of Voice

How often would an AI cite openstreetmap.fr 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

A 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.

90
Homepage ACRI
75
Inner Avg ACRI
+15
ACRI Delta
0%
Homepage Ghost
0%
Inner Avg Ghost
9
Drift Score [?]
Worst Inner Pages
75 0% support https://openstreetmap.fr/contact
🛡️

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

57 DOMAINS

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

64
Total Links
57
Unique Domains
32.0
Avg/Page
89%
Diversity
forum.openstreetmap.fr openstreetmap.org github.com linkedin.com peertube.openstreetmap.fr openstreetmap.assoconnect.com wiki.openstreetmap.org ps.zoethical.org commons.wikimedia.org cartes.app
🏘️ Outbound Neighborhood Trust Avg Trust: 11.9

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

🩹

Remediation Patches

COPY-PASTE

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

Add FAQ Schema
Medium Impact ⏱ 10 min
FAQ schema lets AI models directly extract Q&A pairs. This is the easiest way to get featured in AI responses.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is Openstreetmap?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Openstreetmap does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Openstreetmap work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Openstreetmap."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
77
Projected Score
83
Improvement
+6 pts
Reduce token bloat +3 pts
Add FAQ schema +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
🔍 Found indexing issues?
Run a free deep audit to diagnose crawled-not-indexed, soft 404s, redirect errors, and more.
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