tjhughes.co.uk 64 C
🛡️ SEO 55 🤖 GEO 69 ⚡ Perf 46 🏗️ Arch 89

tjhughes.co.uk — Global SEODiff Score 64/100

tjhughes.co.uk
📊

The AI-Readiness profile for tjhughes.co.uk is strong: an ACRI of 83/100 places it ahead of 97% of domains in the index. Within the infrastructure vertical, this places tjhughes.co.uk above the industry average of 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. A tight 4.4× token bloat ratio reflects disciplined markup: minimal noise between the crawler and the content it needs. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. Robots.txt grants unrestricted access to the key AI user-agents, which is the strongest starting position for AI visibility.

64
C — Global SEODiff Score
Comprehensive search visibility assessment
Strong foundations, but Performance (46) is your bottleneck.
🎯 Top Fix: Monitor weekly to catch regressions early
⚠️ Crawl Blocked: infrastructure_rate_limit
🔬 Automated SEODiff Assessment · Snapshot: Feb 26, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)55 × 0.25 = 13.8
🤖 AI Readiness / GEO (40% weight)69 × 0.40 = 27.6
⚡ Performance (20% weight)46 × 0.20 = 9.2
🏗️ Architecture & Trust (15% weight)89 × 0.15 = 13.3
Weighted sum = 13.8 + 27.6 + 9.2 + 13.3
Global SEODiff Score = 64 (C)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
97
Rendering
avg 93
100
Structure
avg 36
4
Schema
avg 9
80
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 12%
Rank #115349
-8 pts
Gap
AI (ACRI)
Top 3%
Score 83/100

tjhughes.co.uk is more visible to Google than to AI models. There's room to improve AI discoverability to match your search reputation. ACRI measures technical crawler readiness. Read the methodology →

Why tjhughes.co.uk ranks here

Tech stackShopify
RenderingHybrid
Schema coverage2 blocks
Token bloat4.4×

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…

⚠️ Crawl Failed: Anti-Bot Protection Detected

infrastructure_rate_limit

The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.

🛡️

Traditional SEO

55/100 25 % of Global Score 🟢 High Confidence

📝 Title Tag

41 chars
Good length

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

223 chars
Too long

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 7
  • ✗ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — TJ Hughes | The Discount Department Store
  • ✓ og:description — Get the best deals and discounts on selected lines of home, beauty, electrical, kitchen and more at TJ Hughes online store, one of the UK’s original department stores. Shop online or in one of our 14 stores across the UK.
  • ✓ og:image — preview
  • ✓ twitter:card — summary
📐 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

69/100 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, plodopitomnik-sad.ru (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 →
tjhughes.co.uk
44
Your ACRI Score
90
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plodopitomnik-sad.ru has schema coverage of 12 blocks and uses Express. 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 10%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type Hybrid

📊 Structure & Information Density Docs

Structure Grade 100/100 — Excellent
Structured Elements 974 elements (974 lists, 0 rows, 0 headers)
Total Words3150
Raw Density30.9%

🏷️ Schema Health Docs

Organization Schema ❌ Missing
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
💡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

75
AI Extractability
Medium
Crawl Cost
None
Blocklist Risk
Extractability75/100 — AI models can easily extract answers from this page
Crawl CostMedium (50/100) — moderate for AI crawlers to process
Blocklist RiskNone — 0 of 5 AI crawlers blocked

Token Bloat Research

22%
🗑️ 78%
Useful Content (101.5 KB)Bloat (344.0 KB)
Token Bloat Ratio4.4× — Lean

Multimodal Readiness

Visual Context37% Optimized for Vision
Image Alt Coverage18 / 49 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set
💡Only 37% of images have alt text. Add descriptive alt attributes so multimodal AI (ChatGPT Vision) can understand your images.

🔥 Structural Entropy Check Research

15 Entropy
Poor Token Bloat: High
Noise Ratio: 77.2% · SNR: 0.30 · Signal: 25992 / Noise: 88071 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

A local LLM (mlx-community/gemma-3-4b-it-qat-4bit) analyzed the extracted content of tjhughes.co.uk 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
TJ Hughes offers discounted products across various home and lifestyle categories online and in stores.
Target Audience
Shoppers seeking discounted home goods, beauty products, and electrical items.
Pricing Model
Not specified - operates as a retail store with online sales.
🏆 Competitive Moat
Established brand reputation and focus on discounted merchandise.
📊 Content Depth
3/10
Model: mlx-community/gemma-3-4b-it-qat-4bit · Analyzed: 2026-02-28 · Data extracted from the site’s main content via strict JSON prompting.

🔧 Tech Stack

FrameworkShopify
AI-Readiness Score80/100
Servercloudflare
CDNcloudflare
HTTP Status200
Load Time729 ms
Raw HTML Size445.6 KB
Visible Text Size101.5 KB

Performance & Speed

46/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

729 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

3684
DOM nodes
446 KB
HTML payload
Heavy page — consider reducing DOM complexity

🗄️ Cache & CDN

  • ✗ Cache-Control header
  • ✓ CDN cache status → DYNAMIC
  • ✓ CDN detected → cloudflare

🔬 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

89/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.tjhughes.co.uk/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

1043
internal links
4
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 is currently blocking AI crawlers. Unblock them and rescan to earn your AI-Verified badge.

AI-Verified badge for tjhughes.co.uk
Unverified — crawl access is blocked
<a href="https://seodiff.io/radar/domains/tjhughes.co.uk" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=tjhughes.co.uk" 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.

🔗 Similar infrastructure Sites

Domains with a similar tech stack, industry, and AI readiness profile to tjhughes.co.uk. Compare side-by-side.

Domain ACRI AI Score Tech Stack Token Bloat Schema
tjhughes.co.uk (this site) 44 83 Shopify 4.4× 2
mountain-equipment.de 69 82 Shopify 6.8× 1 Compare →
htrzmodz.com 69 83 Shopify 10.9× 3 Compare →
meseloajandekok.hu 69 89 Shopify 49.3× 2 Compare →
mydollbestfriend.co.uk 69 76 Express 4.6× 1 Compare →
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Compare All 5 Similar Sites →

📊 Semantic Share of Voice

How often would an AI cite tjhughes.co.uk 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 tjhughes.co.uk. 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": "Co",
  "url": "https://tjhughes.co.uk",
  "logo": "files/tj-hughes-favicon.jpg",
  "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 Co?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Co does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Co work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Co."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

If you apply the patches above, here's the estimated improvement for tjhughes.co.uk:

Current Score
83
Projected Score
95
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