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craon.ai

craon.ai

Weak AI visibility with 25 of 48 criteria passing. Biggest gap: original data & expert analysis.

40/100
12 since v2
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
6/10

Verdict

Critical AEO gaps at 40/100 - craon.ai is largely invisible to AI engines. Key strengths include llms.txt File, Schema.org Structured Data, and robots.txt for AI Crawlers. Priority gaps: Original Data & Expert Analysis, Content Freshness Signals, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#10155of 13363
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How to Improve

Current
40/100
Projected
71/100
43Total Fixes
12Quick Wins
~117hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseReduce extraction frictionAdd image context for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
high|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low

Top Opportunities10

Publish original research, statistics, case studies, or proprietary data that AI engines can cite. Unique data points make your content a primary source rather than a derivative one.

Expand articles to 1000+ words with structured H2/H3 sections, comparison tables, and expert analysis. Thin content (under 300 words) is rarely cited by AI engines. Deep, well-structured articles demonstrate expertise.

Add specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Ensure blog content consistently covers your core expertise areas rather than scattering across unrelated topics. AI engines build authority models - a site about "Medicare coverage" that also publishes about humidifiers and groceries dilutes its topical authority.

Use HTML tables for comparison data and ordered/unordered lists for features, steps, and specifications. Structured data formats are directly extractable by AI engines for answers.

Write concise, standalone answer paragraphs (2-3 sentences) immediately after question headings. These "snippet-ready" paragraphs are ideal for AI engine citations.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

Include "our analysis", "our data", "our testing" phrases backed by original research or proprietary data. 52.2% of AI-cited posts contain owned data signals.

Include dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Fix It With AI42

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Site Pages

www.craon.ai/pricingF38
Craon
www.craon.aiF28
Craon
Changes since v2Last audited 52 days ago
28
40
+12
View full comparison →
Add Original Data & Case StudiesIncrease Content DepthIncrease Fact & Data DensityFocus Content on Core TopicsAdd Structured Tables & ListsAdd Direct Answer ParagraphsPackage Evidence for AIAdd Answer-First PlacementAdd Owned Data SignalsAdd Content Freshness Signals

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