techcrunch.com scores 67/100 for AI Readiness
TechCrunch (techcrunch.com) is a Publishing / News Media site; Kuroma measured its AI Readiness at 67/100 (grade A), audited 20 Aug 2026. Its strongest area is Technical Optimization (92) and its weakest is On-Page Content (57); the biggest single gap is Structured Data Quality at 20/100 (1 JSON-LD scripts. Schema types: CollectionPage, BreadcrumbList, WebSite, Organization). That places it in the top quartile of the 3,008 Media & Entertainment sites Kuroma has audited.
Audited URL: https://techcrunch.com
The most points to recover are in Citation-Worthiness: it scored 30/100 on a check worth 7.5% of the total, which takes 5.3 points off the overall score.
This audit is 25 days old. AI answers change between audits, so what AI search sees today may differ from this card.
Top 25% in Media & Entertainment Median 37 · Top quartile 43 · across 3,008 audited sites in Media & Entertainment
Is techcrunch.com ready for AI search?
Largely yes: techcrunch.com scores 67/100 (grade A). The remaining fixes are Make This Page’s Facts Extractable and Increase Citation-Worthy Content.
Category scores
Top fixes, ranked by points recovered
Ranked by each check's share of the overall score times how far it fell short, so the biggest number is the biggest win, not the lowest score.
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Increase Citation-Worthy Content up to +5.3 pts
On https://techcrunch.com · AI Readiness → Citation-Worthiness, scored 30/100
- Conduct original research or surveys
- Include specific statistics with sources
- Add expert quotes and interviews
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Add External Citations & References up to +4.1 pts
On https://techcrunch.com · Authority Signals → External Citations & References, scored 55/100
- Use citation language like "according to..." or "research shows..."
- Add a references or sources section
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Make This Page’s Facts Extractable up to +3.6 pts
On https://techcrunch.com · On-Page Content → Structured Data Quality, scored 20/100
- Turn any comparison or specification into a table with a header row — tables are the most extractable structure on a page
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Add FAQ Schema Markup up to +3.4 pts
On https://techcrunch.com · On-Page Content → Question Coverage & FAQ Presence, scored 47/100
- No FAQ schema markup detected
- Identify the top 5-10 questions your audience asks
- Create a dedicated FAQ section on this page
- Add FAQPage schema markup (see code below)
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Optimize for Featured Snippets & AI Answers up to +3.2 pts
On https://techcrunch.com · AI Readiness → Answer Box Potential, scored 56/100
- 10 of your 82 headings open a passage an assistant could quote; the rest introduce a link or a label
- Add clear definitions that directly answer "What is X?" questions
- Add comparison tables, definition lists or step-by-step markup - structured comparisons frequently appear in AI responses
All 19 scored checks
Every check the published rubric scores, with what this audit found on the page.
On-Page Content 25% of the score
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6.5% of the overall score
Found: 1930 words, 83 paragraphs, 90 lists, 74 images (45 with alt text)
- 29 images missing alt text
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6.5% of the overall score
No FAQ structure. 4 question headings. 0 questions detected in content
- No FAQ schema markup detected
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4.5% of the overall score
1 JSON-LD scripts. Schema types: CollectionPage, BreadcrumbList, WebSite, Organization
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3% of the overall score
Average 8 words/sentence. 3 long sentences. Has text formatting.
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2.8% of the overall score
H1: 0, H2: 14, H3: 64. Hierarchy issues.
- Missing H1 heading
- Heading levels are skipped (H1 straight to H3)
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1.8% of the overall score
Measures whether images, video, and charts have text equivalents AI can read.
- 29 of 74 content images have no alt text, so their content is invisible to AI search.
- 13 images have alt text too short to describe what they show ("Travis Kalanick", "Waymo Ojai", "Sam Altman").
- 47 images have no caption, so AI can't read the takeaway of a chart or diagram without one.
- This page has 74 images but only ~1930 words, so your key information may be trapped in images that AI search can't read.
Technical Optimization 20% of the score
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1% of the overall score
1 valid schemas, has Organization, has OpenGraph
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2% of the overall score
26 render-blocking resources. 2017 elements for 1930 words
- 26 render-blocking scripts and stylesheets load before this page can appear
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4% of the overall score
Has viewport. 54 responsive images
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13% of the overall score
HTTPS enabled. Has canonical. Indexable. All scored AI crawlers allowed. 6 placeholder links
- Informational: ChatGPT-User blocked in robots.txt. These tokens cover on-demand user fetches and platforms may not apply robots.txt to those requests; reported for information, not scored.
- Training-data crawlers blocked by policy choice: GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot, Bytespider. This is a content-licensing decision with no AI search visibility cost, so it is not scored.
- Informational: robots.txt references legacy AI crawler token(s): anthropic-ai, claude-web. Vendors no longer document these; migrate to the current tokens (for Anthropic: ClaudeBot, Claude-SearchBot, Claude-User).
Authority Signals 25% of the score
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7% of the overall score
Experience: 0/10. Expertise: 21/25. Authority: 12/25. Trust: 25/25. Has author
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9% of the overall score
9 external links, 0 citation phrases, 23 statistics. No references section.
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9% of the overall score
Present: About page, Publisher schema (4 identity properties), Privacy Policy, Legal notice, Contact, Social profiles (8)
AI Readiness 30% of the score
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7.2% of the overall score
10 of 82 headings open a quotable passage, 0 definitions, 0 comparison structures
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7.5% of the overall score
0 original data indicators, 4 percentages, 0 quotes.
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5.7% of the overall score
References current year. Last modified: 8/20/2026
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5.1% of the overall score
20 of 117 passages carry a figure, 3 set two figures against each other, 0 named versions or models.
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3% of the overall score
Score: 62/100
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1.5% of the overall score
1930 words readable without JavaScript
This audit measures citation readiness: how easily AI engines can crawl, extract, and quote these pages. It cannot see the off-site brand footprint (mentions, reviews, third-party coverage) that gates whether AI engines retrieve a brand at all; Kuroma's visibility scans and off-site signals track that side. How the score works
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