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aurasense.health

aurasense.health

Weak AI visibility with 17 of 48 criteria passing. Biggest gap: llms.txt file.

Healthcare & Patient AdvocacyHealthcare Technology
38/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
2/10

Verdict

Critical AEO gaps at 38/100 - aurasense.health is largely invisible to AI engines. Key strengths include Duplicate Content Blocks, Page Speed: Load Blockers, and Page Speed: Page Size. 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
38/100
Projected
75/100
42Total Fixes
12Quick Wins
~103hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersImprove internal linking architectureAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsExplain how content was tested or reviewedAdd image context for AI enginesEliminate cross-page duplicate content
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|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.

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.

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.

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.

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

Fix It With AI43

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Site Pages

www.aurasense.aiF36
Digital Care in Everyone's Hands | AuraSense
aurasense.ai/faqF36
Digital Care in Everyone's Hands | AuraSense

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