The AI-Readiness profile for texas.gov is strong: an ACRI of 76/100 places it ahead of 84% of domains in the index. Compared to other government sites (avg score: 57), texas.gov 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 38.3× token ratio highlights an urgent need to clean up non-content markup, scripts, and navigation clutter. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. The site maintains an open-door policy for AI crawlers — GPTBot, ClaudeBot, and other major agents are all allowed.
69
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but AI Readiness (60) is your bottleneck.
Top Fix: Reduce token bloat (38×) → +5–10 pts
Does your site score higher than texas.gov?
Run the same 40-signal audit on your own domain — free, instant results.
🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)64 × 0.25 = 16.0
🤖 AI Readiness / GEO (40% weight)60 × 0.40 = 24.0
⚡ Performance (20% weight)88 × 0.20 = 17.6
🏗️ Architecture & Trust (15% weight)75 × 0.15 = 11.2
Weighted sum = 16.0 + 24.0 + 17.6 + 11.2
Global SEODiff Score = 69 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
40
Structure
avg 35
44
Schema
avg 10
70
Tech Stack
avg 64
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.3%
Rank #3006
+16 pts
Gap
AI (ACRI)
Top 16%
Score 76/100
texas.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 texas.gov ranks here
Fastest improvements
- Reduce token bloat (navigation/footer/code) so agents reach your main content faster (see Token Bloat).
- Create an
llms.txtfile 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 →
Traditional SEO
64/100 25 % of Global Score 🟢 High Confidence📝 Title Tag
54 chars
Good length
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
133 chars
Good length
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✗ Exactly 1 <h1> tag — found 2
- ✓ Has <h2> headings — found 5
- ✓ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://www.texas.gov/ - ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
en - ✓ Hreflang tags
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — The Official Website of the State of Texas
- ✓ og:description — Explore the official website of the State of Texas. We'll help you find the government services, information, and resources you need.
- ✗ og:image
- ✗ twitter:card
📐 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 ConfidenceThis pillar aggregates citation share, hallucination risk, bot access, schema health, and content extractability. The individual diagnostic sections below contribute to this score.
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 →
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.
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
📊 Structure & Information Density Docs
Structure Grade
40/100 — Fair
Structured Elements
21 elements (21 lists, 0 rows, 0 headers)
Total Words429
Raw Density4.9%
🏷️ Schema Health Docs
Organization Schema
✅ Present
Product / Service Schema
⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)
Schema Coverage Map
2/7 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.
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
50
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability50/100 — AI models can partially extract answers from this page
Crawl CostMedium (45/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked
Token Bloat Research
Useful Content (4.1 KB)Bloat (153.7 KB)
Token Bloat Ratio38.3× — Bloated
Multimodal Readiness
Visual Context50% Optimized for Vision
Image Alt Coverage1 / 2 images have alt text
TDM Rights
TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
Your HTML is 157.8 KB, but only 4.1 KB is text. 2% useful / 98% bloat. AI crawlers have limited context windows (e.g. 128k tokens). This level of bloat (38.3×) 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: 97.4% ·
SNR: 0.03 ·
Signal: 1055 / Noise: 39338 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.
Toggle to "AI Agent View" to see what GPTBot, ClaudeBot, and other AI crawlers actually extract from this page.
🤖
AI Answer Preview
NEWSee 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-VERIFIEDA local LLM (mlx-community/Qwen2.5-7B-Instruct-4bit) analyzed the extracted content of texas.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
Government services and resources
Target Audience
Residents, businesses, and visitors of Texas
Pricing Model
Free
Model: mlx-community/Qwen2.5-7B-Instruct-4bit · Analyzed: 2026-02-25 · Data extracted from the site’s main content via strict JSON prompting.
🔧 Tech Stack
FrameworkNext.js
AI-Readiness Score70/100
ServerAmazonS3
CDN—
HTTP Status200
Load Time22 ms
Raw HTML Size157.8 KB
Visible Text Size4.1 KB
Performance & Speed
88/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
22 ms
Excellent — server responds instantly
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
360
DOM nodes
DOM nodes
158 KB
HTML payload
HTML payload
Moderate weight — acceptable for most scenarios
🗄️ Cache & CDN
- ✗ Cache-Control header
- ✗ CDN cache status
- ✗ CDN detected
🔬 Tracker Tax
0
tracker scripts
tracker scripts
0
third-party domains
third-party domains
0.0%
token overhead
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
75/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://www.texas.gov/sitemap.xml - ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
21
internal links
internal links
5
external links
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 47/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
Pending Audit — score below 80 threshold
<a href="https://seodiff.io/radar/domains/texas.gov" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=texas.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 300 pages · Deep-10
+1
Consistent readability
Δ delta
Topical Cohesion
Topical Drift
TF-IDF cosine similarity
Total Words
97863
Avg Bloat
143.6×
Ext. Citations
464
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| support | 64 | 38.0× | 1096 | ✓ | |
| product | 64 | 78.9× | 531 | ✓ | |
| product | 64 | 70.6× | 513 | ✓ | |
| product | 64 | 51.7× | 739 | ✓ | |
| other | 64 | 71.5× | 520 | ✓ | |
| other | 64 | 82.7× | 523 | ✓ | |
| other | 64 | 64.8× | 674 | ✓ | |
| other | 64 | 76.4× | 531 | ✓ | |
| other | 64 | 71.1× | 581 | ✓ | |
| other | 64 | 84.8× | 501 | ✓ | |
| other | 64 | 65.9× | 652 | ✓ | |
| other | 64 | 75.0× | 577 | ✓ | |
| other | 64 | 69.0× | 556 | ✓ | |
| other | 64 | 66.9× | 593 | ✓ | |
| other | 64 | 65.1× | 650 | ✓ | |
| other | 64 | 73.7× | 569 | ✓ | |
| other | 64 | 75.4× | 524 | ✓ | |
| blog | 64 | 77.1× | 583 | ✓ | |
| pricing | 64 | 81.3× | 552 | 💰 Pricing | |
| other | 64 | 77.4× | 509 | ✓ | |
| legal | 64 | 57.2× | 697 | ✓ | |
| other | 64 | 42.2× | 914 | ✓ | |
| other | 64 | 71.6× | 509 | ✓ | |
| other | 64 | 69.2× | 528 | ✓ | |
| other | 64 | 51.6× | 716 | ✓ | |
| other | 64 | 58.3× | 644 | ✓ | |
| product | 64 | 61.5× | 615 | ✓ | |
| other | 64 | 47.9× | 806 | ✓ | |
| other | 64 | 71.2× | 513 | ✓ | |
| other | 64 | 51.8× | 712 | ✓ | |
| pricing | 64 | 64.5× | 533 | 💰 Pricing | |
| other | 64 | 60.7× | 609 | ✓ | |
| other | 64 | 53.3× | 589 | ✓ | |
| product | 64 | 46.5× | 774 | ✓ | |
| other | 64 | 38.7× | 934 | ✓ | |
| other | 64 | 50.5× | 666 | ✓ | |
| other | 64 | 41.7× | 815 | ✓ | |
| other | 64 | 47.8× | 829 | ✓ | |
| support | 64 | 38.0× | 1096 | ✓ | |
| other | 64 | 40.5× | 987 | ✓ | |
| other | 64 | 57.3× | 785 | ✓ | |
| other | 64 | 34.9× | 1216 | ✓ | |
| about | 54 | 105.0× | 284 | ✓ | |
| about | 54 | 105.0× | 284 | ✓ | |
| about | 54 | 77.4× | 399 | ✓ | |
| product | 54 | 93.8× | 385 | ✓ | |
| other | 54 | 128.2× | 301 | ✓ | |
| other | 54 | 87.5× | 445 | ✓ | |
| conversion | 54 | 88.3× | 471 | ✓ | |
| other | 54 | 93.7× | 418 | ✓ | |
| blog | 54 | 100.3× | 446 | ✓ | |
| other | 54 | 92.0× | 393 | ✓ | |
| conversion | 54 | 73.6× | 495 | ✓ | |
| other | 54 | 130.2× | 263 | ✓ | |
| legal | 54 | 119.4× | 288 | ✓ | |
| other | 54 | 75.2× | 412 | ✓ | |
| other | 54 | 93.8× | 375 | ✓ | |
| pricing | 54 | 84.6× | 401 | 💰 Pricing | |
| other | 54 | 92.0× | 445 | ✓ | |
| other | 54 | 87.5× | 450 | ✓ | |
| other | 54 | 88.1× | 343 | ✓ | |
| support | 54 | 88.5× | 349 | ✓ | |
| other | 54 | 104.9× | 334 | ✓ | |
| other | 54 | 93.7× | 429 | ✓ | |
| other | 54 | 89.9× | 477 | ✓ | |
| other | 54 | 81.5× | 466 | ✓ | |
| other | 54 | 106.9× | 304 | ✓ | |
| other | 54 | 112.3× | 348 | ✓ | |
| product | 54 | 94.7× | 415 | ✓ | |
| pricing | 46 | 144.6× | 265 | 💰 Pricing | |
| other | 46 | 127.8× | 300 | ✓ | |
| other | 46 | 127.3× | 301 | ✓ | |
| other | 46 | 135.9× | 282 | ✓ | |
| other | 46 | 139.6× | 274 | ✓ | |
| other | 46 | 138.1× | 277 | ✓ | |
| other | 46 | 142.4× | 269 | ✓ | |
| other | 46 | 130.7× | 293 | ✓ | |
| other | 46 | 131.6× | 291 | ✓ | |
| other | 46 | 134.8× | 284 | ✓ | |
| other | 46 | 149.5× | 256 | ✓ | |
| other | 46 | 157.1× | 280 | ✓ | |
| other | 46 | 135.1× | 284 | ✓ | |
| product | 46 | 166.5× | 228 | ✓ | |
| product | 46 | 148.0× | 257 | ✓ | |
| other | 46 | 149.5× | 256 | ✓ | |
| product | 46 | 154.9× | 246 | ✓ | |
| product | 46 | 154.0× | 247 | ✓ | |
| product | 46 | 161.9× | 235 | ✓ | |
| other | 46 | 156.6× | 281 | ✓ | |
| other | 46 | 146.5× | 301 | ✓ | |
| other | 46 | 145.0× | 304 | ✓ | |
| product | 46 | 141.0× | 270 | ✓ | |
| product | 46 | 163.2× | 233 | ✓ | |
| legal | 46 | 140.1× | 316 | ✓ | |
| product | 46 | 158.4× | 240 | ✓ | |
| product | 46 | 175.7× | 216 | ✓ | |
| product | 46 | 141.1× | 270 | ✓ | |
| product | 46 | 154.7× | 246 | ✓ | |
| product | 46 | 144.2× | 264 | ✓ | |
| product | 46 | 165.0× | 231 | ✓ | |
| product | 46 | 149.2× | 255 | ✓ | |
| product | 46 | 154.6× | 246 | ✓ | |
| product | 46 | 151.6× | 251 | ✓ | |
| product | 46 | 178.1× | 214 | ✓ | |
| other | 46 | 130.2× | 294 | ✓ | |
| other | 46 | 137.2× | 279 | ✓ | |
| other | 46 | 146.5× | 261 | ✓ | |
| other | 46 | 142.4× | 310 | ✓ | |
| other | 46 | 147.5× | 298 | ✓ | |
| other | 46 | 139.6× | 316 | ✓ | |
| other | 46 | 155.9× | 282 | ✓ | |
| other | 46 | 150.1× | 293 | ✓ | |
| other | 46 | 147.2× | 299 | ✓ | |
| other | 46 | 145.5× | 303 | ✓ | |
| other | 46 | 151.4× | 291 | ✓ | |
| other | 46 | 153.7× | 286 | ✓ | |
| other | 46 | 159.6× | 275 | ✓ | |
| other | 46 | 149.3× | 295 | ✓ | |
| other | 46 | 157.4× | 279 | ✓ | |
| legal | 46 | 132.5× | 335 | ✓ | |
| legal | 46 | 136.8× | 323 | ✓ | |
| legal | 46 | 130.0× | 341 | ✓ | |
| legal | 46 | 144.0× | 307 | ✓ | |
| legal | 46 | 139.1× | 318 | ✓ | |
| legal | 46 | 136.0× | 326 | ✓ | |
| legal | 46 | 145.0× | 305 | ✓ | |
| legal | 46 | 144.6× | 306 | ✓ | |
| legal | 46 | 136.6× | 324 | ✓ | |
| legal | 46 | 135.1× | 328 | ✓ | |
| legal | 46 | 134.7× | 329 | ✓ | |
| legal | 46 | 142.1× | 311 | ✓ | |
| legal | 46 | 147.1× | 300 | ✓ | |
| legal | 46 | 138.4× | 320 | ✓ | |
| legal | 46 | 145.3× | 304 | ✓ | |
| product | 46 | 159.8× | 238 | ✓ | |
| product | 46 | 154.0× | 247 | ✓ | |
| product | 46 | 152.2× | 250 | ✓ | |
| product | 46 | 154.0× | 247 | ✓ | |
| product | 46 | 159.8× | 238 | ✓ | |
| product | 46 | 149.1× | 255 | ✓ | |
| product | 46 | 145.7× | 261 | ✓ | |
| product | 46 | 151.8× | 251 | ✓ | |
| pricing | 46 | 148.7× | 256 | 💰 Pricing | |
| product | 46 | 163.3× | 233 | ✓ | |
| product | 46 | 166.0× | 229 | ✓ | |
| product | 46 | 151.6× | 251 | ✓ | |
| product | 46 | 144.3× | 264 | ✓ | |
| product | 46 | 155.3× | 245 | ✓ | |
| product | 46 | 148.7× | 256 | ✓ | |
| product | 46 | 162.5× | 234 | ✓ | |
| product | 46 | 149.3× | 255 | ✓ | |
| product | 46 | 159.2× | 239 | ✓ | |
| product | 46 | 161.2× | 236 | ✓ | |
| product | 46 | 166.1× | 229 | ✓ | |
| product | 46 | 156.6× | 243 | ✓ | |
| product | 46 | 148.7× | 256 | ✓ | |
| product | 46 | 152.3× | 250 | ✓ | |
| product | 46 | 157.8× | 241 | ✓ | |
| product | 46 | 143.1× | 266 | ✓ | |
| product | 46 | 140.0× | 272 | ✓ | |
| product | 46 | 169.3× | 225 | ✓ | |
| product | 46 | 158.0× | 241 | ✓ | |
| product | 46 | 149.0× | 256 | ✓ | |
| product | 46 | 159.1× | 239 | ✓ | |
| product | 46 | 151.1× | 252 | ✓ | |
| product | 46 | 169.7× | 224 | ✓ | |
| product | 46 | 149.2× | 255 | ✓ | |
| product | 46 | 152.2× | 250 | ✓ | |
| product | 46 | 174.4× | 218 | ✓ | |
| product | 46 | 148.7× | 256 | ✓ | |
| product | 46 | 143.7× | 265 | ✓ | |
| product | 46 | 139.6× | 273 | ✓ | |
| product | 46 | 123.9× | 308 | ✓ | |
| product | 46 | 141.0× | 270 | ✓ | |
| product | 46 | 149.3× | 255 | ✓ | |
| product | 46 | 156.6× | 243 | ✓ | |
| product | 46 | 137.6× | 277 | ✓ | |
| product | 46 | 138.0× | 276 | ✓ | |
| product | 46 | 135.1× | 282 | ✓ | |
| product | 46 | 164.6× | 231 | ✓ | |
| product | 46 | 154.7× | 246 | ✓ | |
| product | 46 | 176.4× | 216 | ✓ | |
| product | 46 | 172.5× | 221 | ✓ | |
| product | 46 | 156.2× | 244 | ✓ | |
| product | 46 | 156.3× | 244 | ✓ | |
| product | 46 | 160.1× | 238 | ✓ | |
| product | 46 | 177.2× | 215 | ✓ | |
| product | 46 | 162.8× | 234 | ✓ | |
| product | 46 | 176.4× | 216 | ✓ | |
| product | 46 | 167.2× | 228 | ✓ | |
| product | 46 | 149.8× | 254 | ✓ | |
| product | 46 | 152.8× | 249 | ✓ | |
| product | 46 | 154.7× | 246 | ✓ | |
| product | 46 | 154.0× | 247 | ✓ | |
| product | 46 | 154.7× | 246 | ✓ | |
| product | 46 | 167.5× | 227 | ✓ | |
| product | 46 | 161.1× | 236 | ✓ | |
| product | 46 | 153.5× | 248 | ✓ | |
| product | 46 | 153.2× | 248 | ✓ | |
| product | 46 | 155.3× | 245 | ✓ | |
| product | 46 | 157.7× | 241 | ✓ | |
| product | 46 | 151.2× | 252 | ✓ | |
| other | 46 | 125.4× | 305 | ✓ | |
| other | 46 | 120.1× | 319 | ✓ | |
| other | 46 | 130.8× | 293 | ✓ | |
| other | 46 | 132.9× | 288 | ✓ | |
| other | 46 | 130.2× | 294 | ✓ | |
| other | 46 | 131.1× | 292 | ✓ | |
| other | 46 | 131.1× | 292 | ✓ | |
| other | 46 | 144.8× | 264 | ✓ | |
| other | 46 | 143.8× | 266 | ✓ | |
| other | 46 | 136.6× | 280 | ✓ | |
| other | 46 | 140.4× | 273 | ✓ | |
| other | 46 | 147.4× | 260 | ✓ | |
| other | 46 | 145.8× | 263 | ✓ | |
| other | 46 | 142.8× | 268 | ✓ | |
| other | 46 | 134.7× | 284 | ✓ | |
| other | 46 | 142.7× | 268 | ✓ | |
| other | 46 | 128.5× | 298 | ✓ | |
| other | 46 | 144.4× | 265 | ✓ | |
| other | 46 | 142.8× | 268 | ✓ | |
| other | 46 | 136.2× | 281 | ✓ | |
| other | 46 | 143.3× | 267 | ✓ | |
| other | 46 | 149.5× | 256 | ✓ | |
| other | 46 | 140.2× | 273 | ✓ | |
| other | 46 | 153.1× | 250 | ✓ | |
| other | 46 | 140.7× | 272 | ✓ | |
| other | 46 | 142.4× | 269 | ✓ | |
| other | 46 | 133.0× | 288 | ✓ | |
| other | 46 | 132.5× | 289 | ✓ | |
| other | 46 | 136.6× | 280 | ✓ | |
| other | 46 | 139.7× | 274 | ✓ | |
| other | 46 | 137.4× | 279 | ✓ | |
| other | 46 | 144.4× | 265 | ✓ | |
| other | 46 | 135.2× | 283 | ✓ | |
| other | 46 | 142.2× | 269 | ✓ | |
| other | 46 | 135.7× | 282 | ✓ | |
| other | 46 | 122.4× | 313 | ✓ | |
| other | 46 | 126.9× | 302 | ✓ | |
| other | 46 | 121.3× | 316 | ✓ | |
| other | 46 | 130.7× | 293 | ✓ | |
| other | 46 | 136.6× | 281 | ✓ | |
| other | 46 | 132.9× | 288 | ✓ | |
| other | 46 | 140.3× | 273 | ✓ | |
| other | 46 | 127.7× | 300 | ✓ | |
| other | 46 | 129.8× | 295 | ✓ | |
| other | 46 | 141.2× | 271 | ✓ | |
| other | 46 | 132.9× | 288 | ✓ | |
| other | 46 | 124.4× | 308 | ✓ | |
| other | 46 | 129.8× | 295 | ✓ | |
| other | 46 | 142.2× | 269 | ✓ | |
| other | 46 | 140.2× | 273 | ✓ | |
| other | 46 | 132.6× | 289 | ✓ | |
| other | 46 | 130.3× | 294 | ✓ | |
| other | 46 | 131.8× | 291 | ✓ | |
| other | 46 | 139.8× | 274 | ✓ | |
| other | 46 | 128.5× | 298 | ✓ | |
| other | 46 | 128.2× | 299 | ✓ | |
| other | 46 | 132.6× | 289 | ✓ | |
| other | 46 | 132.0× | 290 | ✓ | |
| other | 46 | 124.1× | 309 | ✓ | |
| other | 46 | 121.3× | 316 | ✓ | |
| other | 46 | 129.8× | 295 | ✓ | |
| other | 46 | 123.4× | 311 | ✓ | |
| other | 46 | 128.9× | 297 | ✓ | |
| other | 46 | 130.8× | 293 | ✓ | |
| other | 46 | 136.6× | 280 | ✓ | |
| other | 46 | 128.9× | 297 | ✓ | |
| other | 46 | 135.7× | 282 | ✓ | |
| other | 46 | 117.6× | 326 | ✓ | |
| other | 46 | 142.2× | 269 | ✓ | |
| other | 36 | 179.6× | 164 | ✓ | |
| legal | 36 | 214.5× | 163 | ✓ | |
| other | 36 | 366.0× | 91 | ✓ | |
| legal | 36 | 274.8× | 161 | ✓ | |
| legal | 36 | 274.7× | 161 | ✓ | |
| other | 36 | 238.0× | 146 | ✓ | |
| product | 36 | 208.6× | 161 | ✓ | |
| other | 36 | 337.9× | 130 | ✓ | |
| other | 36 | 197.6× | 171 | ✓ | |
| other | 36 | 331.0× | 133 | ✓ | |
| other | 36 | 326.1× | 135 | ✓ | |
| other | 36 | 331.0× | 133 | ✓ | |
| other | 36 | 326.1× | 135 | ✓ | |
| other | 36 | 326.1× | 135 | ✓ | |
| other | 36 | 323.8× | 136 | ✓ | |
| other | 36 | 328.5× | 134 | ✓ | |
| other | 36 | 321.3× | 137 | ✓ | |
| other | 36 | 323.7× | 136 | ✓ | |
| legal | 36 | 284.7× | 155 | ✓ | |
| legal | 36 | 279.9× | 158 | ✓ | |
| legal | 36 | 276.4× | 160 | ✓ | |
| legal | 36 | 278.2× | 159 | ✓ | |
| legal | 36 | 276.4× | 160 | ✓ | |
| legal | 36 | 280.0× | 158 | ✓ | |
| legal | 36 | 276.5× | 160 | ✓ | |
| legal | 36 | 273.0× | 162 | ✓ | |
| legal | 36 | 288.8× | 116 | ✓ | |
| other | 36 | 239.9× | 122 | ✓ | |
| other | 34 | 605.5× | 49 | ✓ |
🔗
Outbound External Citations
464 unique external domains cited across 300 pages
instagram.com
×300
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/texas.govGet your free API key — 100 requests/month included.
🔗 Similar government Sites
Domains with a similar tech stack, industry, and AI readiness profile to texas.gov. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| texas.gov (this site) | 47 | 76 | Next.js | 38.3× | 2 | — |
| pagero.com | 48 | 74 | Next.js | 39.9× | 2 | Compare → |
| capeargus.co.za | 49 | 74 | Next.js | 37.1× | 2 | Compare → |
| ibc.ca | 48 | 70 | Next.js | 38.5× | 0 | Compare → |
| waitwhile.com | 45 | 73 | Next.js | 36.8× | 1 | Compare → |
| themercury.co.za | 49 | 74 | Next.js | 41.8× | 2 | Compare → |
🩹
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to texas.gov. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
Reduce Token Bloat
Medium Impact
⏱ 1–2 hrs
Only 2% 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 Texas?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Texas does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Texas work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Texas."
}
}
]
}
</script>
📈
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for texas.gov:
Current Score
76
Projected Score
84
Improvement
+8 pts
Reduce token bloat
+5 pts
Add FAQ schema
+3 pts
*Estimates based on SEODiff's scoring model. Actual results depend on implementation quality.
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