frlmods.com 67 C
🛡️ SEO 57 🤖 GEO 75 ⚡ Perf 47 🏗️ Arch 89

frlmods.com — Global SEODiff Score 67/100

frlmods.com
📊

The AI-Readiness profile for frlmods.com is strong: an ACRI of 82/100 places it ahead of 96% of domains in the index. Compared to other developer sites (avg score: 57), frlmods.com 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 17.8× token bloat ratio means crawlers must process significantly more tokens to reach the actual content — a drag on extraction efficiency. Only 1 schema block is present — adding Organization, WebSite, and Breadcrumb schemas would significantly improve structured data coverage. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

67
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (47) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 8 snapshots
Feb 23 Mar 18
🔔 Recent AI Indexing Activity
📉 Mar 16 ACRI -1 (64→63)
📈 Mar 10 ACRI +1 (63→64)
Does your site score higher than frlmods.com?
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)57 × 0.25 = 14.2
🤖 AI Readiness / GEO (40% weight)75 × 0.40 = 30.0
⚡ Performance (20% weight)47 × 0.20 = 9.4
🏗️ Architecture & Trust (15% weight)89 × 0.15 = 13.3
Weighted sum = 14.2 + 30.0 + 9.4 + 13.3
Global SEODiff Score = 67 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
89
Structure
avg 35
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 9%
Rank #89978
Aligned
Gap
AI (ACRI)
Top 4%
Score 82/100

frlmods.com has balanced Google and AI visibility — both rank roughly in the same tier. ACRI measures technical crawler readiness. Read the methodology →

Why frlmods.com ranks here

Tech stackWordPress
Industrydeveloper
RenderingSSR
Schema coverage1 blocks
Token bloat17.8×

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

57/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

47 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

123 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 30
  • ✓ Has <h2> headings — found 4
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — FRLMods - Latest FR Legends Mods & Livery Codes
  • ✓ og:description — FRLMods is the ultimate pit stop for FR Legends mods, modpacks and livery codes. Customize your ride and elevate your game!
  • ✗ 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

75/100 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 developer sector, hikkoshizamurai.jp (ACRI: 88) 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 →
frlmods.com
63
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. hikkoshizamurai.jp has schema coverage of 5 blocks and uses Custom / Proprietary. 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 89/100 — Excellent
Structured Elements 107 elements (107 lists, 0 rows, 0 headers)
Total Words450
Raw Density23.8%

🏷️ Schema Health Docs

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

Schema Coverage Map

2/7 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.

📐 AI Efficiency Metrics Docs

58
AI Extractability
High
Crawl Cost
None
Blocklist Risk
Extractability58/100 — AI models can partially extract answers from this page
Crawl CostHigh (70/100) — expensive for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

5%
🗑️ 95%
Useful Content (19.7 KB)Bloat (331.0 KB)
Token Bloat Ratio17.8× — Heavy

Multimodal Readiness

Visual Context94% Optimized for Vision
Image Alt Coverage30 / 32 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: 94.4% · SNR: 0.06 · Signal: 5054 / Noise: 84730 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 frlmods.com 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
This SaaS platform provides a collaborative project management tool designed for distributed teams, focusing on sprint planning and resource optimization through AI.
Target Audience
Engineering managers, product managers, scrum masters, and development teams.
Pricing Model
Subscription-based with tiered plans, starting from a price not explicitly stated but likely based on team size and features.
🔗 Integration Partners
SlackGitHub
🏆 Competitive Moat
AI-powered sprint planning and real-time resource optimization, providing a competitive advantage through intelligent task allocation and predictive analysis.
📊 Content Depth
8/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• No structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-05

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
Serverhcdn
CDN
HTTP Status200
Load Time1763 ms
Raw HTML Size350.7 KB
Visible Text Size19.7 KB

Performance & Speed

47/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1763 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

1479
DOM nodes
351 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

4
tracker scripts
2
third-party domains
0.0%
token overhead
Moderate trackers — consider lazy-loading non-essential scripts
googlesyndication.comgoogletagmanager.com
📐 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

89/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://frlmods.com/sitemap_index.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

85
internal links
8
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-US
  • ✓ 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 63/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for frlmods.com
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/frlmods.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=frlmods.com" 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 15 pages · Deep-10

Homepage ACRI
63
Single-page score
-48
Severe hidden bloat
Δ delta
Site-Wide ACRI
15
Avg across 15 pages · Range 0–69
🔍
Hidden Bloat Detected

Homepage scores 63, but internal pages average only 15 — a -48-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
11%
Topical Drift
TF-IDF cosine similarity
Total Words
2739
Avg Bloat
94.5×
Page Type ACRI Token Bloat Words Status
https://frlmods.com/privacypolicy/
Privacy Policy
pricing 69 16.3× 2315 💰 Pricing
https://frlmods.com/tutorials/
Tutorials
pricing 41 310.3× 112 💰 Pricing
https://frlmods.com/fr-legends-faq/
FR Legends FAQ
pricing 41 278.0× 126 💰 Pricing
https://frlmods.com/fr-legends-2/
FR Legends 2 - FRLMods
pricing 40 284.5× 120 💰 Pricing
https://frlmods.com/fr-legends-traffic-mod/
FR Legends Traffic Mod
pricing 40 527.8× 66 💰 Pricing
https://frlmods.com/pricing pricing 0 0.0× 0
https://frlmods.com/about about 0 0.0× 0
https://frlmods.com/products product 0 0.0× 0
https://frlmods.com/features product 0 0.0× 0
https://frlmods.com/blog blog 0 0.0× 0
https://frlmods.com/docs docs 0 0.0× 0
https://frlmods.com/case-studies social-proof 0 0.0× 0
https://frlmods.com/contact support 0 0.0× 0
https://frlmods.com/faq support 0 0.0× 0
https://frlmods.com/integrations integrations 0 0.0× 0
📂
Health by Sub-Directory
Average ACRI and top issues aggregated by URL path prefix
Path Pages Avg ACRI Ghost % Bloat Top Issue
/features/ 1 0 0% 0.0× Low AI Readiness
/about/ 1 0 0% 0.0× Low AI Readiness
/blog/ 1 0 0% 0.0× Low AI Readiness
/fr-legends-2/ 1 40 1% 284.5× Bot Blocked
/docs/ 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
/fr-legends-faq/ 1 41 1% 278.0× Bot Blocked
/fr-legends-traffic-mod/ 1 40 1% 527.8× Bot Blocked
/pricing/ 1 0 0% 0.0× Low AI Readiness
/products/ 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
/privacypolicy/ 1 69 0% 16.3× High JS Bloat
/tutorials/ 1 41 1% 310.3× Bot Blocked
🔗
Outbound External Citations
0 unique external domains cited across 15 pages
frlhub.com ×5
frlmodpacks.com ×5
youtube.com ×1
mediafire.com ×1
helpx.adobe.com ×1
youtu.be ×1
play.google.com ×1
🔄 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/frlmods.com

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

🔗 Similar developer Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
frlmods.com (this site) 63 82 WordPress 17.8× 1
xn--80aefbvrodbz.xn--p1ai 83 90 WordPress 7.7× 1 Compare →
jitterbit.net 82 88 WordPress 2.7× 1 Compare →
fastpng.com 84 90 WordPress 3.9× 2 Compare →
blastengine.jp 82 95 WordPress 2.7× 3 Compare →
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📊 Semantic Share of Voice

How often would an AI cite frlmods.com 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 frlmods.com. 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": "Frlmods",
  "url": "https://frlmods.com",
  "logo": "https://frlmods.com/favicon.png",
  "sameAs": []
}
</script>
Reduce Token Bloat
Medium Impact ⏱ 1–2 hrs
Only 5% 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 Frlmods?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Frlmods does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Frlmods work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Frlmods."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for frlmods.com:

Current Score
82
Projected Score
96
Improvement
+14 pts
Add Organization schema +6 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).

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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
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