stlouis-mo.gov 75 B
🛡️ SEO 58 🤖 GEO 80 ⚡ Perf 80 🏗️ Arch 86

stlouis-mo.gov — Global SEODiff Score 75/100

stlouis-mo.gov
📊

With a solid 71/100 ACRI, stlouis-mo.gov is well-positioned for AI search — better than 70% of sites in the Radar. In the government sector, stlouis-mo.gov outperforms the average (57), suggesting strong competitive positioning in AI search. A ghost ratio of 15% indicates a mixed rendering strategy where core content loads server-side but interactive sections rely on JavaScript. The 7.4× token bloat ratio falls within the normal range, though there is room to trim navigation, footer, and script overhead. 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.

75
B — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Traditional SEO (58) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
🔬 Automated SEODiff Assessment · Snapshot: Mar 20, 2026 · 📋 API
📈 ACRI Trend 4 snapshots
Mar 4 Mar 20
🔔 Recent AI Indexing Activity
🔄 Mar 20 Content change detected
🔄 Mar 15 Content change detected
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)80 × 0.40 = 32.0
⚡ Performance (20% weight)80 × 0.20 = 16.0
🏗️ Architecture & Trust (15% weight)86 × 0.15 = 12.9
Weighted sum = 14.5 + 32.0 + 16.0 + 12.9
Global SEODiff Score = 75 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
94
Rendering
avg 93
59
Structure
avg 35
2
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 7%
Rank #66123
+24 pts
Gap
AI (ACRI)
Top 30%
Score 71/100

stlouis-mo.gov 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 stlouis-mo.gov ranks here

Tech stackCustom / Proprietary
Industrygovernment
RenderingHybrid
Schema coverage1 blocks
Token bloat7.4×

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

58/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

39 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

89 chars
Too short

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 13
  • ✓ <h2> not before <h1>

🔍 Indexability

  • ✓ Canonical tag present → https://www.stlouis-mo.gov/index.cfm
  • ✓ 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 — City of St. Louis, Missouri
  • ✓ og:description — STLOUIS-MO.GOV - The place to find City of St. Louis government services and information.
  • ✗ 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 government sector, gep.com (ACRI: 83) 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 →
stlouis-mo.gov
57
Your ACRI Score
83
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. gep.com has schema coverage of 3 blocks and uses Drupal. 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 15%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 59/100 — Fair
Structured Elements 62 elements (62 lists, 0 rows, 0 headers)
Total Words589
Raw Density10.5%

🏷️ Schema Health Docs

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

Schema Coverage Map

1/7 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

55
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability55/100 — 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

13%
🗑️ 87%
Useful Content (5.6 KB)Bloat (35.6 KB)
Token Bloat Ratio7.4× — Normal

Multimodal Readiness

Visual Context100% Optimized for Vision
Image Alt Coverage10 / 10 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: 86.5% · SNR: 0.16 · Signal: 1424 / Noise: 9123 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 stlouis-mo.gov 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
The Board of Aldermen is the legislative body of the City of St. Louis, responsible for creating, passing, and amending
Target Audience
City residents, government officials, legal professionals, and anyone interested in St. Louis municipal governance.
Pricing Model
⚠ SEMANTIC VOID
🏆 Competitive Moat
Established legislative process and authority within the City of St. Louis.
📊 Content Depth
6/10
🔄 Programmatic SEO Signals
Board Bills, Resolutions, and OrdinancesHistory of the Board of AldermanConflict of Interest Ordinance
⚡ Key Pain Points
• Complex legislative process described
• Lack of a clear pricing model
• Limited information on committee structure and function
Analyzed by SEODiff AI · 2026-03-03

🔧 Tech Stack

AI-Readiness Score50/100
Server
CDN
HTTP Status200
Load Time853 ms
Raw HTML Size41.2 KB
Visible Text Size5.6 KB

Performance & Speed

80/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

853 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

520
DOM nodes
41 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → no-store
  • ✗ CDN cache status
  • ✗ CDN detected

🔬 Tracker Tax

1
tracker scripts
1
third-party domains
0.0%
token overhead
Minimal tracker load — clean signal for bots
googletagmanager.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

86/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

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

🔗 Linking

63
internal links
7
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 57/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

AI-Verified badge for stlouis-mo.gov
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/stlouis-mo.gov" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=stlouis-mo.gov" 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 64 pages · Deep-10

Homepage ACRI
57
Single-page score
-11
Moderate hidden bloat
Δ delta
Site-Wide ACRI
47
Avg across 64 pages · Range 0–85
🔍
Hidden Bloat Detected

Homepage scores 57, but internal pages average only 47 — a -11-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.

Topical Cohesion
15%
Topical Drift
TF-IDF cosine similarity
Total Words
30712
Avg Bloat
13.7×
Page Type ACRI Token Bloat Words Status
http://stlouis-mo.gov/government/departments/aldermen/about/
About the Board of Aldermen
about 85 9.2× 945
http://stlouis-mo.gov/government/departments/comptroller/services/online-audit-database.cfm
Internal Audit
pricing 85 9.7× 1130 💰 Pricing
http://stlouis-mo.gov/government/departments/slate/news/
Newsroom
other 85 8.4× 1015
http://stlouis-mo.gov/news-media/
News and Media
pricing 85 9.4× 946 💰 Pricing
http://stlouis-mo.gov/government/departments/mayor/news/Free-Summer-Camps-Available-to-City-Youth.cfm
Youth | Enrollment for Free Summer Camps for City Kids Opens Friday, April 1, 2016
other 85 5.0× 1793
http://stlouis-mo.gov/government/departments/mayor/news/City-announces-new-severe-weather-program.cfm
City announces new severe weather program
pricing 85 7.0× 1214 💰 Pricing
http://stlouis-mo.gov/government/departments/comptroller/investor-relations
Investor Relations
other 85 8.0× 931
http://stlouis-mo.gov/government/departments/information-technology/web-development/privacy.cfm
Privacy and Security Policy
legal 85 5.4× 1835
http://stlouis-mo.gov/government/departments/mayor/news/8-Million-Homeless-Programs.cfm
City Receives Additional $8 Million for Homeless Programs
pricing 75 12.5× 642 💰 Pricing
http://stlouis-mo.gov/government/departments/mayor
Office of the Mayor - City of St. Louis
pricing 75 12.1× 743 💰 Pricing
http://stlouis-mo.gov/government/departments/slate/
St. Louis Agency on Training and Employment: Home
pricing 75 11.4× 1040 💰 Pricing
http://stlouis-mo.gov/government/
City of St. Louis Government
pricing 75 13.0× 657 💰 Pricing
http://stlouis-mo.gov/government/departments/information-technology/web-development/website-policies.cfm
Website Policies and Notices
other 75 11.4× 706
http://stlouis-mo.gov/government/departments/mayor/news/Project-Homeless-Connect.cfm
City Holds National Project Homeless Connect
other 75 12.3× 652
http://stlouis-mo.gov/government/departments/
City Offices, Agencies, Departments and Divisions
pricing 75 10.4× 1907 💰 Pricing
http://stlouis-mo.gov/government/departments/mayor/news/City-offers-special-utility-assistance.cfm
City offers special utility assistance for low-income seniors and disabled residents
pricing 75 10.3× 771 💰 Pricing
http://stlouis-mo.gov/government/departments/mayor/news/City-to-Increase-Efforts-to-Relocate-Homeless-People-from-Riverfront.cfm
City to Increase Efforts to Relocate Homeless People from Riverfront
other 75 11.9× 617
http://stlouis-mo.gov/government/departments/personnel/city-jobs.cfm
Work for the City of St. Louis
pricing 75 10.2× 967 💰 Pricing
http://stlouis-mo.gov/government/departments/sldc/real-estate/lra-owned-property-search.cfm
Available City-Owned Property Search
other 75 11.7× 1226
http://stlouis-mo.gov/government/departments/slate/about-us/rfp.cfm
SLATE Request for Proposals (RFP)
pricing 75 11.1× 858 💰 Pricing
Showing 20 of 64 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
/government/ 42 59 0% 16.9× High JS Bloat
/services/ 4 16 0% 4.2× Low AI Readiness
/news-media/ 2 42 0% 4.7× Healthy
/features/ 1 0 0% 0.0× Low AI Readiness
/contact/ 1 0 0% 0.0× Low AI Readiness
/business/ 1 62 0% 17.9× High JS Bloat
/data/ 1 62 0% 16.4× High JS Bloat
/about/ 1 0 0% 0.0× Low AI Readiness
/subscriptions/ 1 72 0% 13.6× High JS Bloat
/case-studies/ 1 0 0% 0.0× Low AI Readiness
/live-work/ 1 72 0% 15.9× High JS Bloat
/visit-play/ 1 72 0% 14.2× High JS Bloat
/integrations/ 1 0 0% 0.0× Low AI Readiness
/search.cfm/ 1 22 1% 60.0× Bot Blocked
/blog/ 1 0 0% 0.0× Low AI Readiness
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🔌 API Access

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

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📊 Semantic Share of Voice

How often would an AI cite stlouis-mo.gov 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 stlouis-mo.gov. 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": "Stlouis-mo",
  "url": "https://stlouis-mo.gov",
  "logo": "https://stlouis-mo.gov/favicon1.ico",
  "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 Stlouis-mo?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Stlouis-mo does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Stlouis-mo work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Stlouis-mo."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for stlouis-mo.gov:

Current Score
71
Projected Score
83
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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