TechCrunch operates as a leading technology and startup news platform, positioned within the finance and media sector. Its Global SEODiff Score of 43 reflects a modest overall search visibility performance, with an ACRi Grade of D and an ACRi Score of 53 indicating significant room for improvement in content relevance and user intent alignment. While its Architecture Score of 94 demonstrates a technically robust site structure—evidenced by strong internal linking (300 links), declared sitemap, and solid security headers (HSTS, CSP)—its Performance Score of 27 reveals critical user experience bottlenecks, particularly with a TTFB of 3,130ms and substantial HTML payload (417.2 KB), which undermines real-time engagement and AI crawler access.
The site exhibits notable strengths in technical architecture and content structure, including full support for structured data such as Organization and Breadcrumb markup, and a clean, low ghost ratio (0.0%), indicating minimal wasted content. However, its Semantic Structure Score of 42 and AI Readiness (GEO) of 70 suggest that while the site is accessible to AI crawlers, the underlying content semantics and entity coherence are underdeveloped. The token bloat ratio of 13.5x and low useful text-to-HTML ratio (31,707 bytes out of 427,237) point to excessive code bloat, likely from WordPress, which dilutes content signal strength. Despite this, the site has no AI-blocking meta tags and is not reserved for TDM, which supports open AI access.
From an architectural perspective, the site maintains strong internal link equity distribution and a declared sitemap, but its low extractability (61) and retrieval robustness (46) scores suggest that AI and search engines struggle to extract meaningful, coherent content snippets. The absence of Article, FAQ, and Product schema limits semantic richness. To elevate performance, TechCrunch should prioritize reducing HTML bloat, optimizing TTFB through caching and CDN improvements, and enriching content with more granular structured data to improve AI interpretability and user retention.
🧮 Score Transparency — How is this calculated?
📊 ACRI Sub-Scores (AI Readiness Detail)
techcrunch.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 techcrunch.com ranks here
Fastest improvements
- Allow GPTBot in robots.txt so AI crawlers can access your pages (see Crawl Access).
- Allow ClaudeBot (many assistants rely on it) — blocking it often correlates with “AI invisibility.”
- 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 →
⚠️ Crawl Failed: Anti-Bot Protection Detected
Fetch failed (network timeout / connection error)
The scores below may not reflect actual site quality. The crawler received a challenge page instead of real content.
Traditional SEO
54/100 25 % of Global Score 🟢 High 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 14
- ✗ <h2> not before <h1>
🔍 Indexability
- ✓ Canonical tag present →
https://techcrunch.com/ - ✓ No noindex directive
- ✓ Meta viewport set
- ✓ HTML lang attribute →
en-US - ➖ Hreflang tags — N/A (single language site)
- ✓ Googlebot allowed by robots.txt
🌐 Social / OpenGraph
- ✓ og:title — TechCrunch | Startup and Technology News
- ✓ og:description — TechCrunch | Reporting on the business of technology, startups, venture capital funding, and Silicon Valley
- ✓ 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
57/100 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
Allow: / under User-agent: GPTBot in your robots.txt.📊 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 techcrunch.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
92/100 15 % of Global Score 🟢 High Confidence🗺️ Sitemap & Robots
- ✓ Sitemap declared in robots.txt →
https://techcrunch.com/sitemap.xml - ✓ 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-US
- ✓ 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.
<a href="https://seodiff.io/radar/domains/techcrunch.com" rel="noopener"><img src="https://seodiff.io/api/v1/badge?domain=techcrunch.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 8 pages · Deep-10
Homepage scores 30, but internal pages average only 0 — a -30-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 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| product | 0 | 0.0× | 0 | ✓ | |
| blog | 0 | 0.0× | 0 | ✓ | |
| docs | 0 | 0.0× | 0 | ✓ | |
| social-proof | 0 | 0.0× | 0 | ✓ | |
| integrations | 0 | 0.0× | 0 | ✓ | |
| support | 0 | 0.0× | 0 | ✓ |
| Path | Pages | Avg ACRI | Ghost % | Bloat | Top Issue |
|---|---|---|---|---|---|
| /features/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /case-studies/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /pricing/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /faq/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /blog/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /docs/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /integrations/ | 1 | 0 | 0% | 0.0× | Low AI Readiness |
| /products/ | 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/techcrunch.comGet your free API key — 100 requests/month included.
🔗 Similar finance Sites
Domains with a similar tech stack, industry, and AI readiness profile to techcrunch.com. Compare side-by-side.
| Domain | ACRI | AI Score | Tech Stack | Token Bloat | Schema | |
|---|---|---|---|---|---|---|
| techcrunch.com (this site) | 30 | 15 | WordPress | 13.4× | 1 | — |
| whtspgrouplink.com | 55 | 15 | WordPress | 8.8× | 1 | Compare → |
| x777.ph | 55 | 75 | WordPress | 8.7× | 1 | Compare → |
| coincu.com | 55 | 71 | WordPress | 7.7× | 1 | Compare → |
| plinkogames.org | 55 | 75 | WordPress | 6.1× | 1 | Compare → |
| diamondbanc.com | 55 | 74 | WordPress | 7.2× | 2 | Compare → |
📊 Semantic Share of Voice
How often would an AI cite techcrunch.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 techcrunch.com. Copy and paste these into your codebase to improve AI visibility. These patches are mathematically proven to increase extraction accuracy →
User-agent: GPTBot Allow: / User-agent: ChatGPT-User Allow: /
User-agent: ClaudeBot Allow: / User-agent: anthropic-ai Allow: /
<!-- 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>
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is Techcrunch?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Add your answer here — describe what Techcrunch does in 1-2 sentences."
}
},
{
"@type": "Question",
"name": "How does Techcrunch work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Explain the key features and how users interact with Techcrunch."
}
}
]
}
</script>
Projected Impact
ROI EST.If you apply the patches above, here's the estimated improvement for techcrunch.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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