Example Domain operates in the SaaS category with a Global SEODiff Score of 50, placing it below average in search visibility intelligence, particularly when compared to the benchmark. Its ACRI Score of 28 and F-grade reflect significant shortcomings in content quality, semantic coherence, and overall search relevance. Despite strong technical performance—evidenced by a TTFB of 578ms, minimal HTML payload (0.5KB), and excellent extractability (85)—the site suffers from critical content and structural deficiencies that undermine its discoverability and AI-readiness.
The site demonstrates solid technical foundations: it is hosted on Cloudflare Pages with low token bloat (3.7x), minimal ghost ratio (5.0%), and open access for major AI crawlers including GPTBot, ClaudeBot, and CCBot. However, these strengths are offset by severe content issues—only 21 words of useful text, a word count of just 21, and a semantic structure score of 20, indicating minimal meaningful content or topic clustering. The absence of any structured data (zero schema blocks), no breadcrumbs, no sitemap declaration, and zero internal links suggest a fragmented architecture. With only one external link and no organization or product schema, the site offers little to no signal to search engines or AI systems about its purpose or value.
From an architectural perspective, the site exhibits a high degree of isolation: no internal linking, no sitemap, and no clear entity hierarchy. This results in poor crawl efficiency and weak link equity distribution. The low retrieval robustness (10) and content integrity (16) further confirm that search systems struggle to extract meaningful information. To improve, the site must prioritize content expansion, implement schema markup, rebuild internal linking, and declare a sitemap. These steps would significantly elevate its ACRI grade and AI-readiness, unlocking potential for higher rankings and better AI indexing.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
example.com 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 example.com ranks here
Fastest improvements
- Add basic Organization and WebSite JSON-LD to fix “0 schema blocks” (see Schema Coverage).
- 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
32/100 25 % of Global Score 🟡 Medium Confidence📝 Title Tag
Optimal range: 30–60 characters for SERP display.
📋 Meta Description
Optimal range: 120–160 characters for snippet control.
🔤 Heading Hierarchy
- ✓ Exactly 1 <h1> tag — found 1
- ✗ Has <h2> headings — found 0
- ✓ <h2> not before <h1>
🔍 Indexability
- ✗ Canonical tag present
- ✓ 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
- ✗ og:description
- ✗ 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
48/100 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.
Is AI lying about your brand? This panel measures how likely LLMs are to hallucinate facts when extracting information from your page.
🤖 Bot Access Matrix
📊 Structure & Information Density Docs
🏷️ Schema Health Docs
Schema Coverage Map
📐 AI Efficiency Metrics Docs
Token Bloat Research
Multimodal Readiness
TDM Rights
🔥 Structural Entropy Check Research
🔬 AI-Crawler Simulation
See your website the way AI crawlers do. CSS stripped, structure labeled, content chunked.
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.
🔧 Tech Stack
Performance & Speed
80/100 20 % of Global Score 🟢 High Confidence⏱️ Time to First Byte
Google considers <200 ms "good". AI crawlers may have even shorter timeouts.
📦 Page Weight
DOM nodes
HTML payload
🗄️ Cache & CDN
- ✗ Cache-Control header
- ✓ CDN cache status →
HIT - ✓ CDN detected → cloudflare
🔬 Tracker Tax
tracker scripts
third-party domains
token overhead
📐 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
46/100 15 % of Global Score 🔴 Low Confidence🗺️ Sitemap & Robots
- ✗ Sitemap declared in robots.txt
- ✓ Googlebot allowed
- ✓ GPTBot allowed
- ✓ ClaudeBot allowed
🔗 Linking
internal links
external links
🔒 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 28/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
<a href="https://seodiff.io/radar/domains/example.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=example.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.
� Deep Crawl Analysis 23 pages · Deep-10
Homepage scores 28, but internal pages average only 0 — a -28-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| pricing | 0 | 0.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| about | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| conversion | 0 | 0.0× | 0 | ✓ | |
| conversion | 0 | 0.0× | 0 | ✓ | |
| social-proof | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ | |
| integrations | 0 | 0.0× | 0 | ✓ | |
| trust | 0 | 0.0× | 0 | ✓ | |
| trust | 0 | 0.0× | 0 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /privacy/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /docs/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /contact/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /pricing/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /demo/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /terms/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /solutions/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /resources/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /features/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /api/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /products/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /trust/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /get-started/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /case-studies/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /faq/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
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/example.comGet your free API key — 100 requests/month included.
🔗 Similar saas Sites
Domains with a similar tech stack, industry, and AI readiness profile to example.com. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| example.com (this site) | 28 | 62 | Cloudflare Pages | 3.7× | 0 | — |
| visionsimpleblog.uk | 53 | 15 | Cloudflare Pages | 3.7× | 0 | Compare → |
| thothub.is | 53 | 71 | Cloudflare Pages | 4.1× | 0 | Compare → |
| zonevipnow.com | 53 | 15 | Cloudflare Pages | 3.0× | 0 | Compare → |
| filmizle.cam | 53 | 76 | Cloudflare Pages | 5.0× | 0 | Compare → |
| dojki.tv | 53 | 71 | Cloudflare Pages | 1.9× | 0 | Compare → |
📊 Semantic Share of Voice
How often would an AI cite example.com 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-PASTEAuto-generated code fixes tailored to example.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Example",
"url": "https://example.com",
"logo": "https://example.com/logo.png",
"sameAs": []
}
</script>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "Example",
"url": "https://example.com",
"potentialAction": {
"@type": "SearchAction",
"target": "https://example.com/search?q={search_term_string}",
"query-input": "required name=search_term_string"
}
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for example.com:
*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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