factcheck.org 70 B
🛡️ SEO 42 🤖 GEO 81 ⚡ Perf 74 🏗️ Arch 80

factcheck.org — Global SEODiff Score 70/100

factcheck.org
📊

factcheck.org achieves a 72/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. In the infrastructure sector, factcheck.org outperforms the average (57), 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 6.0× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. Minimal structured data (1 block) limits the site's ability to communicate entity relationships to AI systems. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

70
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (42) is your bottleneck.
🎯 Top Fix: Add HSTS header → +2 pts
🔬 Automated SEODiff Assessment · Snapshot: Mar 18, 2026 · 📋 API
📈 ACRI Trend 28 snapshots
Feb 22 Mar 18
🔔 Recent AI Indexing Activity
🔄 Mar 18 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)42 × 0.25 = 10.5
🤖 AI Readiness / GEO (40% weight)81 × 0.40 = 32.4
⚡ Performance (20% weight)74 × 0.20 = 14.8
🏗️ Architecture & Trust (15% weight)80 × 0.15 = 12.0
Weighted sum = 10.5 + 32.4 + 14.8 + 12.0
Global SEODiff Score = 70 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
100
Rendering
avg 93
43
Structure
avg 35
2
Schema
avg 9
85
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 2%
Rank #15576
+26 pts
Gap
AI (ACRI)
Top 27%
Score 72/100

factcheck.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 factcheck.org ranks here

Tech stackWordPress
RenderingSSR
Schema coverage1 blocks
Token bloat6.0×

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

42/100 25 % of Global Score 🟡 Medium Confidence

📝 Title Tag

63 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

0 chars
Missing

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✗ Exactly 1 <h1> tag — found 0
  • ✗ Has <h2> headings — found 0
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — FactCheck.org
  • ✗ og:description
  • ✓ 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

81/100 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 →
factcheck.org
59
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 43/100 — Fair
Structured Elements 54 elements (54 lists, 0 rows, 0 headers)
Total Words981
Raw Density5.5%

🏷️ 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.
💡FAQ schema missing. Adding FAQPage schema lets AI models directly extract Q&A pairs for Featured Snippets and chatbot answers.

📐 AI Efficiency Metrics Docs

55
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability55/100 — AI models can partially extract answers from this page
Crawl CostLow (30/100) — efficient for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

16%
🗑️ 84%
Useful Content (11.6 KB)Bloat (57.9 KB)
Token Bloat Ratio6.0× — Normal

Multimodal Readiness

Visual Context83% Optimized for Vision
Image Alt Coverage24 / 29 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: 83.3% · SNR: 0.20 · Signal: 2973 / Noise: 14817 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 factcheck.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
FactCheck.org is a nonpartisan, nonprofit organization dedicated to reducing deception and confusion in U.S. politics by fact-checking political statements across various media.
Target Audience
Journalists, political analysts, educators, concerned citizens, and voters seeking reliable information about political claims.
Pricing Model
Donations from individual members of the public, with a tiered donation structure disclosed publicly.
🏆 Competitive Moat
FactCheck.org’s competitive advantage lies in its established reputation for rigorous fact-checking, its journalistic expertise, and its commitment to nonpartisanship – providing a trusted source of information in a politically polarized environment.
📊 Content Depth
7/10
🔄 Programmatic SEO Signals
Integration directory pagesTemplate comparison pages
⚡ Key Pain Points
• Lack of structured FAQ schema
• Thin landing pages for features
Analyzed by SEODiff AI · 2026-03-01

🔧 Tech Stack

FrameworkWordPress
AI-Readiness Score85/100
ServerApache/2.4.64 (Amazon Linux) OpenSSL/3.2.2
CDN
HTTP Status200
Load Time558 ms
Raw HTML Size69.5 KB
Visible Text Size11.6 KB

Performance & Speed

74/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

558 ms
Acceptable — room for improvement

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

📦 Page Weight

514
DOM nodes
70 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → public,max-age=601
  • ✗ 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

80/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.factcheck.org/wp-sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

78
internal links
11
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 59/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for factcheck.org
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/factcheck.org" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=factcheck.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 134 pages · Deep-10

Homepage ACRI
59
Single-page score
-2
Consistent readability
Δ delta
Site-Wide ACRI
57
Avg across 134 pages · Range 0–85
Topical Cohesion
3%
Topical Drift
TF-IDF cosine similarity
Total Words
60828
Avg Bloat
28.2×
Page Type ACRI Token Bloat Words Status
https://factcheck.org/about
About Us - FactCheck.org
about 85 5.8× 2984
https://www.factcheck.org/spindetectors/about/
About Us - FactCheck.org
about 85 5.8× 2984
https://www.factcheck.org/spindetectors/about/copyright-policy/
Copyright Policy - FactCheck.org
about 75 11.2× 1103
https://www.factcheck.org/spindetectors/about/privacy/
Privacy - FactCheck.org
about 75 13.3× 916
https://www.factcheck.org/location/kentucky/
Kentucky Archives - FactCheck.org
other 72 19.1× 708
https://www.factcheck.org/location/ohio/
Ohio Archives - FactCheck.org
other 72 18.8× 730
https://www.factcheck.org/location/north-carolina/
North Carolina Archives - FactCheck.org
pricing 72 17.3× 802 💰 Pricing
https://www.factcheck.org/location/michigan/
Michigan Archives - FactCheck.org
other 72 17.9× 781
https://www.factcheck.org/location/minnesota/
Minnesota Archives - FactCheck.org
other 72 17.4× 772
https://www.factcheck.org/location/national/
National Archives - FactCheck.org
pricing 72 18.1× 745 💰 Pricing
https://www.factcheck.org/location/nevada/
Nevada Archives - FactCheck.org
other 72 19.3× 727
https://www.factcheck.org/location/new-mexico/
New Mexico Archives - FactCheck.org
other 72 17.4× 783
https://www.factcheck.org/location/new-york/
New York Archives - FactCheck.org
other 72 16.0× 844
https://www.factcheck.org/location/new-york-city/
New York City Archives - FactCheck.org
other 72 18.4× 674
https://www.factcheck.org/location/afghanistan/
Afghanistan Archives - FactCheck.org
other 72 18.3× 739
https://www.factcheck.org/location/arizona/
Arizona Archives - FactCheck.org
other 72 18.8× 725
https://www.factcheck.org/location/hawaii/
Hawaii Archives - FactCheck.org
other 72 19.7× 598
https://www.factcheck.org/location/california/
California Archives - FactCheck.org
other 72 17.3× 795
https://www.factcheck.org/location/canada/
Canada Archives - FactCheck.org
other 72 17.0× 827
https://www.factcheck.org/location/florida/
Florida Archives - FactCheck.org
pricing 72 16.5× 843 💰 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
/location/ 114 60 0% 30.0× High JS Bloat
/spindetectors/ 4 72 0% 20.1× High JS Bloat
/about/ 3 64 0% 31.0× High JS Bloat
/issue/ 2 60 0% 31.6× High JS Bloat
/features/ 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
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 54 0% 50.4× High JS Bloat
/tag/ 1 54 0% 44.6× High JS Bloat
/faq/ 1 0 0% 0.0× Low AI Readiness
/articles/ 1 57 0% 27.4× High JS Bloat
/blog/ 1 0 0% 0.0× Low AI Readiness
/docs/ 1 0 0% 0.0× Low AI Readiness
/integrations/ 1 0 0% 0.0× Low AI Readiness
🔗
Outbound External Citations
0 unique external domains cited across 134 pages
tiktok.com ×126
giving.aws.cloud.upenn.edu ×126
threads.net ×126
youtube.com ×126
facebook.com ×126
accessibility.web-resources.upenn.edu ×126
instagram.com ×126
twitter.com ×126
🔄 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/factcheck.org

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

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📊 Semantic Share of Voice

How often would an AI cite factcheck.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…

🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to factcheck.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": "Factcheck",
  "url": "https://factcheck.org",
  "logo": "https://factcheck.org/apple-icon-57x57.png",
  "sameAs": []
}
</script>
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 Factcheck?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Factcheck does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Factcheck work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Factcheck."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
72
Projected Score
84
Improvement
+12 pts
Add Organization schema +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
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