ravatar.com scores 64/100 for AI Readiness
Interactive Real-Time AI Avatars (ravatar.com) is a AI / Machine Learning site; Kuroma measured its AI Readiness at 64/100 (grade A), audited 20 Aug 2026. Its strongest area is Technical Optimization (77) and its weakest is AI Readiness (54); the biggest single gap is Citation-Worthiness at 22/100 (0 original data indicators, 2 percentages, 0 quotes.). That places it in the top quartile of the 372 AI / Machine Learning sites Kuroma has audited.
Audited URL: https://ravatar.com
The most points to recover are in Citation-Worthiness: it scored 22/100 on a check worth 7.5% of the total, which takes 5.9 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 AI / Machine Learning Median 49.5 · Top quartile 56 · across 372 audited sites in AI / Machine Learning
Is ravatar.com ready for AI search?
Largely yes: ravatar.com scores 64/100 (grade A). The remaining fixes are Add FAQ Schema Markup 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 +5.9 pts
On https://ravatar.com · AI Readiness → Citation-Worthiness, scored 22/100
- 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://ravatar.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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Add FAQ Schema Markup up to +4 pts
On https://ravatar.com · On-Page Content → Question Coverage & FAQ Presence, scored 38/100
- No FAQ schema markup detected
- Few question-based headings
- 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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Improve Unique Value Proposition up to +3.4 pts
On https://ravatar.com · AI Readiness → Unique Value Proposition, scored 33/100
- Most passages describe the offer in general terms; carry the figures into them rather than leaving them in one panel
- Name the versions, models and standards you actually work with instead of describing them in general terms
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Make This Page’s Facts Extractable up to +3 pts
On https://ravatar.com · On-Page Content → Structured Data Quality, scored 34/100
- Turn any comparison or specification into a table with a header row — tables are the most extractable structure on a page
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: 4617 words, 123 paragraphs, 27 lists, 110 images (40 with alt text)
- 70 images missing alt text
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6.5% of the overall score
No FAQ structure. 0 question headings. 6 questions detected in content
- No FAQ schema markup detected
- Few question-based headings
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4.5% of the overall score
1 JSON-LD scripts. Schema types: BreadcrumbList, Organization, WebPage, WebSite
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3% of the overall score
Average 14 words/sentence. 37 long sentences. Has text formatting.
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2.8% of the overall score
H1: 1, H2: 12, H3: 19. Hierarchy issues.
- 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.
- 70 of 110 content images have no alt text, so their content is invisible to AI search.
- 20 images have alt text too short to describe what they show ("play", "pause", "play").
- 62 images have no caption, so AI can't read the takeaway of a chart or diagram without one.
- This page has 110 images but only ~4617 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
42 render-blocking resources. 2502 elements for 4617 words
- 42 render-blocking scripts and stylesheets load before this page can appear
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4% of the overall score
Has viewport. 49 responsive images
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13% of the overall score
HTTPS enabled. Has canonical. Indexable. All scored AI crawlers allowed. 15 placeholder links
- 15 of 89 links cannot be followed by a crawler
- Training-data crawlers blocked by policy choice: 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: 7/10. Expertise: 10/25. Authority: 19/25. Trust: 20/25
- No author attribution found
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9% of the overall score
11 external links, 0 citation phrases, 5 statistics. No references section.
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9% of the overall score
Present: About page, Publisher schema (5 identity properties), Privacy Policy, Contact, Social profiles (5)
AI Readiness 30% of the score
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7.2% of the overall score
37 of 44 headings open a quotable passage, 1 definitions, 0 comparison structures
- No FAQ structure detected
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7.5% of the overall score
0 original data indicators, 2 percentages, 0 quotes.
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5.7% of the overall score
References last year. Last modified: 6/11/2026
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5.1% of the overall score
8 of 252 passages carry a figure, 1 set two figures against each other, 0 named versions or models.
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3% of the overall score
Score: 76/100
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1.5% of the overall score
4617 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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