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tuvahealth.com
WINTER 2022

tuvahealth.com

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

Healthcare & Patient AdvocacyHealthcare Technology
50/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
4/10

Verdict

Below-average AEO readiness at 50/100 - multiple areas need attention. Key strengths include Clean, Crawlable HTML, Canonical URL Strategy, and Answer-First Placement. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

How to Improve

Current
50/100
Projected
81/100
40Total Fixes
9Quick Wins
~80hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsFocus blog content on core expertisePackage evidence for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
medium|low
Add internationalization signals
low|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

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.

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.

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.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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.

Rewrite multi-clause sentences into single-claim statements under 20 words. Pages with Flesch-Kincaid grade 16 outperform grade 19 in citation rates.

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.

Fix It With AI42

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Site Pages

www.tuvahealth.com/marketplace/illuminate-predictive-modelsD40
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CodeRx Drug Database | Tuva Health
www.tuvahealth.com/news/tuva-mathematica-public-health-pa...F32
Mathematica Partners with Tuva Health to Unlock Better Insights from Public Health Data | Tuva Health
Changes since v1Last audited 70 days ago
49
50
+1
View full comparison →
Increase Content DepthAdd Original Data & Case StudiesFocus Content on Core TopicsBuild Comprehensive FAQ SectionIncrease Fact & Data DensityAdd Direct Answer ParagraphsImprove Question-Answer AlignmentAdd Content Freshness SignalsImprove Sentence AtomicityAdd Answer Capsule Patterns

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