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moonai.app

moonai.app

Moderate AI visibility with 28 of 48 criteria passing. Biggest gap: llms.txt file.

Healthcare & Patient AdvocacyHealthcare Technology
53/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Query-Answer Alignment, Content Cannibalization, and Answer-First Placement. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
53/100
Projected
81/100
41Total Fixes
13Quick Wins
~72hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd structured tables and listsAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseImprove citation-ready writing qualityPackage evidence for AI enginesReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
medium|low
Add internationalization signals
medium|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

Create a dedicated FAQ page with FAQPage schema markup. Cover common questions about your products, services, and industry to become a direct answer source for AI engines.

Write 20-25 word self-contained answer sentences immediately after each H2 heading. 72.4% of AI-cited posts use this pattern - it gives engines a ready-made snippet to quote.

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.

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

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

Fix It With AI42

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Site Pages

moonai.app/app-terms-of-servicesD41
Terms of Services
moonai.app/the-scienceD47
Moonai — The Science
moonai.app/b2bD40
Moonai — B2B
Changes since v1Last audited 76 days ago
52
53
+1
View full comparison →
Focus Content on Core TopicsAdd Structured Tables & ListsAdd Original Data & Case StudiesBuild Comprehensive FAQ SectionAdd Answer Capsule PatternsIncrease Fact & Data DensityAdd Direct Answer ParagraphsAdd Content Freshness SignalsAdd Schema.org Structured DataStrengthen Entity Authority (NAP)

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