adroll.com 77 B
🛡️ SEO 58 🤖 GEO 85 ⚡ Perf 68 🏗️ Arch 99

adroll.com — Global SEODiff Score 77/100

adroll.com
📊

adroll.com achieves a 83/100 on the AI-Crawler Reality Index, reflecting above-average readiness for AI-driven discovery. Compared to other ecommerce sites (avg score: 57), adroll.com performs above the benchmark, suggesting strong competitive positioning in AI search. The low ghost ratio (5%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. With a 3.9× bloat ratio, the page delivers its content without excessive boilerplate, giving AI systems a clean extraction path. The site includes 2 schema blocks, providing adequate structured data for basic entity recognition. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.

77
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: Feb 26, 2026 · 📋 API
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🧮 Score Transparency — How is this calculated?
🛡️ Traditional SEO (25% weight)58 × 0.25 = 14.5
🤖 AI Readiness / GEO (40% weight)85 × 0.40 = 34.0
⚡ Performance (20% weight)68 × 0.20 = 13.6
🏗️ Architecture & Trust (15% weight)99 × 0.15 = 14.8
Weighted sum = 14.5 + 34.0 + 13.6 + 14.8
Global SEODiff Score = 77 (B)
📊 ACRI Sub-Scores (AI Readiness Detail)
100
Bot Access
avg 92
99
Rendering
avg 93
85
Structure
avg 36
44
Schema
avg 9
50
Tech Stack
avg 63
🔀
Visibility Delta: Google vs AI
Google (Tranco)
Top 0.2%
Rank #1958
Aligned
Gap
AI (ACRI)
Top 3%
Score 83/100

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

Why adroll.com ranks here

Tech stackCustom / Proprietary
Industryecommerce
RenderingSSR
Schema coverage2 blocks
Token bloat3.9×

Fastest improvements

  • You’re already in decent shape — the next moat is monitoring drift over time.
  • 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

64 chars
Too long

Optimal range: 30–60 characters for SERP display.

📋 Meta Description

149 chars
Good length

Optimal range: 120–160 characters for snippet control.

🔤 Heading Hierarchy

  • ✓ Exactly 1 <h1> tag — found 1
  • ✓ Has <h2> headings — found 6
  • ✓ <h2> not before <h1>

🔍 Indexability

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

🌐 Social / OpenGraph

  • ✓ og:title — AI-powered Advertising Platform for Brands and Agencies | AdRoll
  • ✓ og:description — Maximize advertising performance and minimize complexity. AdRoll helps brands and agencies exel with targeted full-funnel cross-channel ad campaigns.
  • ✓ 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

85/100 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 ecommerce sector, plantes-avenue.fr (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 →
adroll.com
69
Your ACRI Score
88
Industry Peer ACRI
AI models prioritize pages with strong semantic structure and schema coverage. plantes-avenue.fr has schema coverage of 12 blocks and uses PrestaShop. 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 5%
0% — Safe 50% 100% — Risk
Status Server-Side Rendered (Safe)
Rendering Type SSR

📊 Structure & Information Density Docs

Structure Grade 85/100 — Excellent
Structured Elements 135 elements (135 lists, 0 rows, 0 headers)
Total Words623
Raw Density21.7%

🏷️ Schema Health Docs

Organization Schema ✅ Present
Product / Service Schema ⚠️ Not Found
Total Schema Blocks2 block(s) — Basic (low value for AI)

Schema Coverage Map

1/7 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.
💡WebSite schema missing. Add WebSite + SearchAction so Google can generate a Sitelinks Search Box for your brand in AI results.

📐 AI Efficiency Metrics Docs

81
AI Extractability
Low
Crawl Cost
None
Blocklist Risk
Extractability81/100 — AI models can easily 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

25%
🗑️ 75%
Useful Content (11.2 KB)Bloat (32.9 KB)
Token Bloat Ratio3.9× — Lean

Multimodal Readiness

Visual Context96% Optimized for Vision
Image Alt Coverage26 / 27 images have alt text

TDM Rights

TDM-Reservation HeaderNot set
X-Robots-Tag: noaiNot set

🔥 Structural Entropy Check Research

27 Entropy
Poor Token Bloat: High
Noise Ratio: 74.6% · SNR: 0.34 · Signal: 2869 / Noise: 8418 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…

🔧 Tech Stack

AI-Readiness Score50/100
Servernginx
CDN
HTTP Status200
Load Time1133 ms
Raw HTML Size44.1 KB
Visible Text Size11.2 KB

Performance & Speed

68/100 20 % of Global Score 🟢 High Confidence

⏱️ Time to First Byte

1133 ms
Slow — bots may time out or deprioritise

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

📦 Page Weight

540
DOM nodes
44 KB
HTML payload
Lean page — fast for bots and users

🗄️ Cache & CDN

  • ✓ Cache-Control header → max-age=31536000
  • ✗ 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

99/100 15 % of Global Score 🟢 High Confidence

🗺️ Sitemap & Robots

  • ✓ Sitemap declared in robots.txt → https://www.adroll.com/sitemap.xml
  • ✓ Googlebot allowed
  • ✓ GPTBot allowed
  • ✓ ClaudeBot allowed

🔗 Linking

125
internal links
19
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 69/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.

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

🔗 Similar ecommerce Sites

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

Domain ACRI AI Score Tech Stack Token Bloat Schema
adroll.com (this site) 69 83 Custom / Proprietary 3.9× 2
gabor.com 69 83 Custom / Proprietary 4.0× 2 Compare →
furdoszoba-szaniter.hu 69 81 Custom / Proprietary 4.1× 2 Compare →
liebermans.net 69 78 Custom / Proprietary 4.3× 2 Compare →
bladeshop.hu 70 83 Custom / Proprietary 3.9× 2 Compare →
inoviopay.com 68 78 Custom / Proprietary 3.9× 2 Compare →
Compare All 5 Similar Sites →
👻

Rendering Drop-Off by Depth

DEPTH PENALTY 1003 PAGES
0%
Homepage Ghost
0%
Deep Pages Avg Ghost
5%
Homepage Bloat
9%
Deep Pages Avg Bloat
Ghost Ratio by Crawl Depth
Depth 0
0%
1 pg · ACRI 95
Orphan
0%
1002 pg · ACRI 83
⚠️ Worst Rendering Pages
20% https://adroll.com/contact orphan
20% https://www.adroll.com/blog/infographic-the-psychology-of-colour orphan
20% https://www.adroll.com/blog/infographic-8-creative-ways-to-attract-new-customers orphan
20% https://adroll.com/features orphan
0% https://www.adroll.com/blog/6-must-haves-for-abandoned-cart-recovery-ads orphan
Deeper pages lose rendering fidelity. Pages at depth 4+ often show 2-3× higher ghost ratios than the homepage, meaning AI crawlers see progressively less of your actual content as they navigate deeper into the site architecture.
🏗️

Deep Architecture Health & Equity Distribution

1003 PAGES
84.9%
Gini Inequality
Extreme hoarding
85%
Top-3 PR Share
Equity held by 3 pages
1002
Orphan Pages
99.9% of site
0.0
Avg Click Depth
Max: 0 clicks
0
Internal Links
1002 disconnected
15%
Semantic Cohesion
Topical Drift
0% Healthy (receive equity)
0% Diluted hubs (>50 outbound)
100% Orphans (zero inbound)
🔗 Top Hub Pages (Highest PageRank)
https://www.adroll.com/blog/what-is-native-advertising https://www.adroll.com/blog/the-ultimate-quick-guide-to-retargeting https://www.adroll.com/blog/how-to-understand-customers-and-influence-consumer-behavior https://www.adroll.com/blog/unrolling-the-supreme-brand https://www.adroll.com/blog/targeting-your-audience-online
⚠️
1002 orphan pages receive zero internal link equity. A Gini coefficient of 0.85 means the top 3 pages hoard 85% of all internal PageRank — AI crawlers may never discover the rest.
The Gini coefficient measures link equity inequality across your site. A Gini of 0.85 indicates severe equity hoarding — a handful of pages dominate PageRank while hundreds starve. AI crawlers penalize this by ignoring deep pages.
🔄

Semantic Cannibalization

medium 944 TOPICS
944
Topic Clusters
via TF-IDF cosine, ε=.60
8
Cannibal Pairs
>92% cosine similarity
Medium
Severity
>5 pairs
Cannibalizing Page Groups
🔴 limitations, understanding, provide 100% avg similarity · ACRI 90–90
  • https://www.adroll.com/blog/all-the-metrics-from-google-analytics-you-should-be-tracking-now
  • https://www.adroll.com/blog/google-analytics-audit-a-checklist-for-beginners
  • https://www.adroll.com/blog/campaign-tracking-the-limitations-of-google-analytics-4-ga4
  • https://www.adroll.com/blog/digital-marketing-analytics
🔴 alignment, use, successful 100% avg similarity · ACRI 90–90
  • https://www.adroll.com/blog/the-5-most-important-numbers-when-you-site-audit-with-google-analytics
  • https://www.adroll.com/blog/marketing-kpis-how-to-track-your-business-goals
🔴 gardens, slump, mntn 94% avg similarity · ACRI 60–75
  • https://www.adroll.com/blog
  • https://adroll.com/blog
Cannibalization occurs when multiple pages target the same semantic space (>92% cosine similarity). AI models pick one authoritative page and ignore duplicates — the losing page gets zero citations. Merging or differentiating cannibalizing pages is the highest-ROI fix for most sites.
Get a full merge/redirect plan for all 8 cannibalizing pairs
Unlock Merge Recommendations →
🧬

Entity Knowledge Gap Analysis

15 MISSING 16% COVERAGE
Extracted from Content (25)
Go 1548× 60% Shopify 801× 11% REST 349× 20% Segment 187× 5% SSO 146× 8% Rust 106× 8% Google Analytics 52× 2% React 13× 1% HubSpot 12× 1% Linear 6× 0% AWS 6× 0% Notion 5× 0% Okta 5× 0% WordPress 3× 0% Slack 3× 0% JavaScript 2× 0% Java 2× 0% Salesforce 2× 0% Anthropic 1× 0% GDPR 1× 0% Deno 1× 0% OpenAI 1× 0% Python 1× 0% Stripe 1× 0% Bootstrap 1× 0%
📋 Declared in JSON-LD (4)
AdRoll AdRoll Pricing & Product Packages G2 Crowd NextRoll
⚠️ 15 entities mentioned in content but missing from structured data:
Go Shopify REST Segment SSO Rust Google Analytics React HubSpot Linear AWS Notion Okta WordPress Slack
Each missing entity is a lost opportunity for rich snippet inclusion and AI knowledge graph integration.
Schema Coverage: 4 declared vs 25 extracted — 16% coverage Entities with <100% coverage create knowledge graph blind spots for AI systems
🧭

Semantic Nearest Neighbors

View all →
63%
Overlap
34
ACRI
Compare
55%
Overlap
36
ACRI
Compare
appdirect.com
B2B subscription commerce platform for technology services
55%
Overlap
78
ACRI
Compare
shopify.com
All-in-one commerce platform for businesses
54%
Overlap
57
ACRI
Compare
53%
Overlap
64
ACRI
Compare
View All Semantic Alternatives → 📚 Docs Quality Index →
🎭

Bait & Switch Delta

A 15 PAGES

Compares your homepage rendering quality with inner pages. A high drift score means AI crawlers see a polished homepage but degraded inner content — the "bait & switch" that erodes trust.

60
Homepage ACRI
58
Inner Avg ACRI
+2
ACRI Delta
0%
Homepage Ghost
4%
Inner Avg Ghost
3
Drift Score
Worst Inner Pages
47 20% pricing https://adroll.com/contact
57 20% pricing https://adroll.com/features
57 20% pricing https://www.adroll.com/blog/infographic-the-psychology-of-colour
🛡️

E-E-A-T Trust Signals

C 40/100

Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.

Physical Address
Phone Number
Email Contact
About Page
Contact Page
Privacy Policy
Terms of Service
Named Leadership
Named leadership: Shae Henrie, Lindsay Duggan Martinez, Shae Henrie
🔗

Citation Profile

17 DOMAINS

Outbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.

186
Total Links
17
Unique Domains
12.4
Avg/Page
9%
Diversity
youtube.com instagram.com help.adroll.com partners.adroll.com linkedin.com iab.net nextroll.com app.adroll.com tech.nextroll.com tagtoday.net
🩹

Remediation Patches

COPY-PASTE

Auto-generated code fixes tailored to adroll.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →

Add WebSite + SearchAction JSON-LD
High Impact ⏱ 5 min
Enables the Sitelinks Search Box in Google and allows AI to understand your site structure.
html
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "WebSite",
  "name": "Adroll",
  "url": "https://adroll.com",
  "potentialAction": {
    "@type": "SearchAction",
    "target": "https://adroll.com/search?q={search_term_string}",
    "query-input": "required name=search_term_string"
  }
}
</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 Adroll?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Add your answer here — describe what Adroll does in 1-2 sentences."
      }
    },
    {
      "@type": "Question",
      "name": "How does Adroll work?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Explain the key features and how users interact with Adroll."
      }
    }
  ]
}
</script>
📈

Projected Impact

ROI EST.

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

Current Score
83
Projected Score
90
Improvement
+7 pts
Add WebSite schema +4 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