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remedial.health
WINTER 2022

remedial.health

Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.

Finance & PaymentsCorporate Finance Platforms
47/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
2/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Cross-Page Duplicate Content, Entity Density, and Semantic HTML5 & Accessibility. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#12857of 26585
#763of 1391 in Finance & Payments
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How to Improve

Current
47/100
Projected
79/100
44Total Fixes
11Quick Wins
~96hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsConfigure robots.txt for AI crawlersAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertisePackage evidence for AI enginesFix duplicate content blocks
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
Reduce render-blocking resources
medium|low
Improve server response efficiency
medium|low
Reduce document weight
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.

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

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.

Add question-based headings (H2/H3) throughout your content. Use "What is...", "How does...", "Why should..." patterns that match how users query AI assistants.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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

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.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

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

Fix It With AI46

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Site Pages

remedial.health/credit-facility-terms-and-conditionsF31
Credit Facility Terms and Conditions | Remedial Health

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