With a solid 70/100 ACRI, nybooks.com is well-positioned for AI search — better than 67% of sites in the Radar. In the infrastructure sector, nybooks.com outperforms the average (57), suggesting strong competitive positioning in AI search. The low ghost ratio (0%) confirms that what crawlers see matches what users see — a hallmark of strong SSR implementation. The token bloat ratio sits at a lean 3.5×, meaning the ratio of code to visible content is efficient — crawlers spend their token budget on actual information. Structured data coverage is solid at 2 blocks, covering core entities — expanding to include FAQ or Breadcrumb schemas could strengthen the profile further. All major AI bot user-agents (GPTBot, ClaudeBot, CCBot, Google-Extended) are permitted by robots.txt, ensuring broad AI crawler access.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
nybooks.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 nybooks.com ranks here
Fastest improvements
- You’re already in decent shape — the next moat is monitoring drift over time.
- 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
42/100 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 0
- ✓ Has <h2> headings — found 1
- ✗ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://www.nybooks.com/ - ✓ 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 — Home
- ✓ og:description — Politics, Literature, Arts, Ideas: the latest articles and features from The New York Review.
- ✓ og:image — preview
- ✓ 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
75/100 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.
The LLM Interpretation
AI-VERIFIEDSEODiff AI analyzed the extracted content of nybooks.com 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.
🔧 Tech Stack
Performance & Speed
52/100 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 →
max-age=300, must-revalidate - ✗ CDN cache status
- ✗ CDN detected
🔬 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
69/100 15 % of Global Score 🟢 High 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 46/100. Reach 80+ to unlock the green "AI-Verified" badge. Fix the issues below to improve your score.
<a href="https://seodiff.io/radar/domains/nybooks.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=nybooks.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 20 pages · Deep-10
Homepage scores 46, but internal pages average only 32 — a -14-point gap. Blogs, docs, and legacy content are dragging down AI readability site-wide.
Poorly formatted tables or pricing grids on 2 pages will be split incorrectly during RAG chunking, causing AI models to hallucinate prices and features.
| Page | Type | ACRI | Token Bloat | Words | Status |
|---|---|---|---|---|---|
| pricing | 85 | 7.8× | 4550 | 💰 Pricing | |
| pricing | 85 | 8.4× | 2559 | ⚠️ RAG Fracture | |
| pricing | 85 | 9.3× | 3590 | 💰 Pricing | |
| pricing | 75 | 12.6× | 2385 | 💰 Pricing | |
| pricing | 72 | 15.0× | 1982 | 💰 Pricing | |
| about | 67 | 33.1× | 604 | ✓ | |
| blog | 67 | 20.3× | 3381 | ✓ | |
| trust | 64 | 36.0× | 702 | ✓ | |
| pricing | 44 | 90.1× | 200 | ⚠️ RAG Fracture | |
| blog | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ | |
| conversion | 0 | 0.0× | 0 | ✓ | |
| social-proof | 0 | 0.0× | 0 | ✓ | |
| integrations | 0 | 0.0× | 0 | ✓ | |
| trust | 0 | 0.0× | 0 | ✓ | |
| careers | 0 | 0.0× | 0 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /integrations/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /get-started/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /security/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /support/ | 1 | 85 | 0% | 9.3× | High JS Bloat |
| /demo/ | 1 | 75 | 0% | 12.6× | High JS Bloat |
| /blog/ | 1 | 67 | 0% | 20.3× | High JS Bloat |
| /trust/ | 1 | 64 | 0% | 36.0× | High JS Bloat |
| /pricing/ | 1 | 44 | 0% | 90.1× | High JS Bloat |
| /products/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /faq/ | 1 | 85 | 0% | 8.4× | High JS Bloat |
| /resources/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /careers/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /case-studies/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /guides/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /api/ | 1 | 72 | 0% | 15.0× | High JS Bloat |
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/nybooks.comGet your free API key — 100 requests/month included.
🔗 Similar infrastructure Sites
Domains with a similar tech stack, industry, and AI readiness profile to nybooks.com. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| nybooks.com (this site) | 46 | 70 | WordPress | 3.5× | 2 | — |
| insurance.securityscorecard.com | 71 | 77 | WordPress | 4.2× | 2 | Compare → |
| lipodoc.com | 71 | 83 | WordPress | 6.7× | 2 | Compare → |
| neuroaxis.ro | 71 | 82 | WordPress | 5.1× | 1 | Compare → |
| ntour.jp | 71 | 84 | WordPress | 4.0× | 0 | Compare → |
| dashcs.com | 71 | 86 | WordPress | 7.1× | 3 | Compare → |
📊 Semantic Share of Voice
How often would an AI cite nybooks.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…
Bait & Switch Delta
A 4 PAGESCompares 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.
Worst Inner Pages
E-E-A-T Trust Signals
C 45/100Trust indicators extracted from surface pages. These signals help AI systems verify your site's Experience, Expertise, Authoritativeness, and Trustworthiness.
Citation Profile
7 DOMAINSOutbound citation patterns across surface-crawled pages. Sites that cite diverse, authoritative sources signal higher E-E-A-T to AI systems.
AI trust scores for the domains nybooks.com links to. Citing high-trust sources lifts your own credibility signal.
Remediation Patches
COPY-PASTEAuto-generated code fixes tailored to nybooks.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": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Nybooks?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Nybooks does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Nybooks work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Nybooks."
}
}
]
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for nybooks.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).
Is this your company?
Monitor your AI visibility score weekly and get alerted when changes happen.
Start Free →