bikemap.net 59 D
🛡️ SEO 45 🤖 GEO 60 ⚡ Perf 47 🏗️ Arch 98

bikemap.net — Global SEODiff Score 59/100

bikemap.net
📊

At 71/100, the ACRI for bikemap.net indicates strong fundamentals in AI extractability, surpassing the majority of indexed sites. Compared to other saas sites (avg score: 57), bikemap.net 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. The bloated 50.0× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. No structured data was detected, which means AI systems must infer all entities and relationships from raw HTML alone. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

59
D — Global SEODiff Score
Comprehensive search visibility assessment
Below average — Traditional SEO (45) has the most room for improvement.
🎯 Top Fix: Reduce token bloat (118×) → +5–10 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 16 snapshots
Feb 22 Mar 15
🔔 Recent AI Indexing Activity
📈 Mar 20 ACRI +1 (45→46)
🔄 Mar 15 Content change detected
Does your site score higher than bikemap.net?
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)45 × 0.25 = 11.2
🤖 AI Readiness / GEO (40% weight)60 × 0.40 = 24.0
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)98 × 0.15 = 14.7
Weighted sum = 11.2 + 24.0 + 9.4 + 14.7
Global SEODiff Score = 59 (D)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
44
Structure
avg 35
0
Schema
avg 9
70
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 3%
Rank #30753
+27 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

bikemap.net 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 bikemap.net ranks here

Tech stackNext.js
Industrysaas
RenderingSSR
Schema coverage0 blocks
Token bloat50×+

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

45/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

63 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

167 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 4
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.bikemap.net/
  • ✓ No noindex directive
  • ✓ Meta viewport set
  • ✓ HTML lang attribute → en
  • ✅ Hreflang tags
  • ✓ Googlebot allowed by robots.txt

🌐 Social / OpenGraph

  • ✓ og:title — Bikemap - The essential app for cyclists, by cyclists
  • ✓ og:description — Plan, find & share your perfect tracks. Create your first route with Bikemap - it’s free!
  • ✓ og:image — preview
  • ✓ 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

60/100 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 saas sector, smahospital.jp (ACRI: 84) 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 →
bikemap.net
46
Your ACRI Score
84
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. smahospital.jp has schema coverage of 1 blocks and uses Next.js. 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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 44/100 — Fair
Structured Elements 44 elements (44 lists, 0 rows, 0 headers)
Total Words763
Raw Density5.8%

🏷️ 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

39
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability39/100 — AI models can barely extract answers from this page
Crawl CostHigh (100/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

1%
🗑️ 99%
Useful Content (4.6 KB)Bloat (537.6 KB)
Token Bloat Ratio50×+ — Bloated

Multimodal Readiness

Visual Context92% Optimized for Vision
Image Alt Coverage61 / 66 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Your HTML is 542.2 KB, but only 4.6 KB is text. 1% useful / 99% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (50×+) risks context-window truncation by ChatGPT, Claude, and Gemini. Reduce inline scripts, CSS, hydration payloads, and tracking code.

🔥 Structural Entropy Check Research

0 Entropy
Poor Token Bloat: High
Noise Ratio: 99.2% · SNR: 0.01 · Signal: 1171 / Noise: 137636 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 bikemap.net 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
Bikemap provides a platform for discovering, planning, and navigating cycling routes, offering both free and premium features for route management and offline navigation.
Target Audience
Cyclists, outdoor enthusiasts, and recreational riders
Pricing Model
Free with limited features, Premium subscription for advanced features like offline navigation and ad-free experience.
🏆 Competitive Moat
Comprehensive route database and user-generated content combined with offline navigation capabilities.
📊 Content Depth
3/10
🔄 Programmatic SEO Signals
Route discovery pagesRoute planning and navigation features
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkNext.js
AI-Readiness Score70/100
Servernginx
CDN
HTTP Status200
Load Time510 ms
Raw HTML Size542.2 KB
Visible Text Size4.6 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

510 ms
Acceptable — room for improvement

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

📦 Page Weight

1568
DOM nodes
542 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=120, stale-while-revalidate=86400, stale-while-error=86400
  • ✗ 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

98/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.bikemap.net/sitemaps-routes-en-index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

66
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 46/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for bikemap.net
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/bikemap.net" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=bikemap.net" 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 103 pages · Deep-10

Homepage ACRI
46
Single-page score
-7
Moderate hidden bloat
Δ delta
Site-Wide ACRI
40
Avg across 103 pages · Range 0–53
Topical Cohesion
3%
Topical Drift
TF-IDF cosine similarity
Total Words
38137
Avg Bloat
159.9×
Page Type ACRI Token Bloat Words Status
https://www.bikemap.net/en/r/18062451/
Bismarckstraße, Offenbach am Main nach Hessenring, Mörfelden-Walldorf - Cycling Route - 🚲 Bikemap
pricing 53 129.9× 540 💰 Pricing
https://www.bikemap.net/en/r/18007034/
#2 | Schlösser, Märchen und coole Pausenplätze | Offenbach bis Aschaffenburg - Cycling Route - 🚲 Bikemap
pricing 53 132.5× 591 💰 Pricing
https://www.bikemap.net/en/r/17915268/
Am Hafendeck, Offenbach am Main nach West, Frankfurt am Main - Cycling Route - 🚲 Bikemap
pricing 53 146.1× 512 💰 Pricing
https://bikemap.net/integrations
Plan better bike rides for your Garmin or Wahoo - 🚲 Bikemap
pricing 52 93.9× 501 💰 Pricing
https://www.bikemap.net/en/r/17646060/
Nordring, Offenbach am Main nach Lyoner Straße, Frankfurt am Main - Cycling Route - 🚲 Bikemap
pricing 43 169.2× 427 💰 Pricing
https://www.bikemap.net/en/r/18041280/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 168.8× 403 💰 Pricing
https://www.bikemap.net/en/r/18089657/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 173.9× 401 💰 Pricing
https://www.bikemap.net/en/r/18014394/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 170.2× 398 💰 Pricing
https://www.bikemap.net/en/r/18009028/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 176.0× 388 💰 Pricing
https://www.bikemap.net/en/r/18006042/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 171.0× 400 💰 Pricing
https://www.bikemap.net/en/r/18000982/
De Los Palmares a Los Palmares - Cycling Route - 🚲 Bikemap
pricing 43 178.9× 380 💰 Pricing
https://www.bikemap.net/en/r/17770272/
De Suipacha a Suipacha - Cycling Route - 🚲 Bikemap
pricing 43 197.4× 335 💰 Pricing
https://www.bikemap.net/en/r/17765243/
Ruta desdé Suipacha - Cycling Route - 🚲 Bikemap
pricing 43 207.1× 330 💰 Pricing
https://www.bikemap.net/en/r/17643523/
San Luis, Apóstoles a Salta, Apóstoles - Cycling Route - 🚲 Bikemap
pricing 43 195.7× 339 💰 Pricing
https://www.bikemap.net/en/r/17633165/
Córdoba, Apóstoles a Apóstoles - Cycling Route - 🚲 Bikemap
pricing 43 177.5× 385 💰 Pricing
https://www.bikemap.net/en/r/17629706/
Avenida Ucrania, Apóstoles a Avenida Islas Malvinas, Apóstoles - Cycling Route - 🚲 Bikemap
pricing 43 189.9× 348 💰 Pricing
https://www.bikemap.net/en/r/17034330/
Ruta Provincial 1, Apóstoles a Santa Fe, Apóstoles - Cycling Route - 🚲 Bikemap
pricing 43 177.3× 384 💰 Pricing
https://www.bikemap.net/en/r/4128790/
BieberMessel30Da43 - Cycling Route - 🚲 Bikemap
pricing 43 172.9× 423 💰 Pricing
https://www.bikemap.net/en/r/17899253/
HH Tour 1: Offenbach - Hungen - Cycling Route - 🚲 Bikemap
pricing 43 169.9× 427 💰 Pricing
https://www.bikemap.net/en/r/17974041/
Am Maingarten, Offenbach am Main nach Lyoner Straße, Frankfurt am Main - Cycling Route - 🚲 Bikemap
pricing 43 160.2× 461 💰 Pricing
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
/en/ 93 43 1% 176.1× Bot Blocked
/integrations/ 1 52 1% 93.9× Bot Blocked
/docs/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/faq/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/features/ 1 0 0% 0.0× Low AI Readiness
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/products/ 1 0 0% 0.0× Low AI Readiness
/pricing/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 103 pages
blog.bikemap.net ×94
play.google.com ×94
mediakit.bikemap.net ×94
apps.apple.com ×94
help.bikemap.net ×94
🔄 Re-Crawl & Update 📡 Track this Domain

Scores update automatically each month. Create a free account for on-demand re-crawls (3/month free).

🔌 API Access

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

curl https://seodiff.io/api/v1/deep10/domain/bikemap.net

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

🔗 Similar saas Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
bikemap.net (this site) 46 71 Next.js 118.5× 0
rangdong.com.vn 71 78 Next.js 1.6× 0 Compare →
videoforme.ru 71 81 Next.js 1.9× 2 Compare →
tinfoil.io 71 76 Express 1.6× 0 Compare →
roughporn.me 71 81 Cloudflare Pages 2.9× 0 Compare →
bassethound.rescueme.org 71 82 Cloudflare Pages 5.0× 0 Compare →
Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite bikemap.net 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…

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to bikemap.net. 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": "Bikemap",
  "url": "https://bikemap.net",
  "logo": "https://bikemap.net/website-assets/icons/apple-touch-icon.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": "Bikemap",
  "url": "https://bikemap.net",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://bikemap.net/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 0% of your HTML is useful content. AI crawlers waste context window tokens on bloat.
html
<!-- Move inline CSS to external stylesheets -->
<link rel="stylesheet" href="/css/main.css">

<!-- Move inline scripts to external files with defer -->
<script src="/js/app.js" defer></script>

<!-- Remove duplicate navigation blocks -->
<!-- Keep only ONE <nav> in the <header> -->

<!-- Ensure <main> wraps your primary content -->
<main>
  <!-- Your content here — this is what AI sees first -->
</main>
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 Bikemap?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Bikemap does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Bikemap work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Bikemap."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for bikemap.net:

Current Score
71
Projected Score
89
Improvement
+18 pts
Add Organization schema +6 pts
Add WebSite schema +4 pts
Reduce token bloat +5 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).

Is this your company?

Monitor your AI visibility score weekly and get alerted when changes happen.

Start Free →

🧭 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.
Free Deep Audit → GSC Error Guide →