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coiny.org

coiny.org

Weak AI visibility with 18 of 48 criteria passing. Biggest gap: llms.txt file.

Healthcare & Patient AdvocacyHospital & Health Care
39/100
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
3/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 39/100 - coiny.org is largely invisible to AI engines. Key strengths include Content Cannibalization, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

How to Improve

Current
39/100
Projected
76/100
42Total Fixes
16Quick Wins
~101hEst. Effort
Quick Wins
Create /llms.txt fileStrengthen entity authority (NAP)Configure robots.txt for AI crawlersBuild FAQ sections with schemaLink orphan pages into site navigationAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseMake pages solve the user task fasterImprove citation-ready writing qualityPackage evidence for AI enginesReduce extraction friction
Fix HTML structure and meta tags
critical|medium
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
critical|medium
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|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.

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.

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.

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

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.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

Fix It With AI43

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Site Pages

coiny.orgF38
COINY - Concepts of Independence
coiny.org/gala.phpF36
Concepts 2017 Gala Information - COINY
coiny.org/terms.phpD42
Terms of Service and Use - Conditions of End User - COINY
coiny.org/disclaimer.phpF35
disclaimer - COINY
coiny.org/dayinlife.phpF37
A Day in the Life - COINY
coiny.org/faqsF38
- COINY
coiny.org/pricingF38
- COINY
coiny.org/servicesF38
- COINY
coiny.org/teamF38
- COINY
coiny.org/resourcesF38
- COINY
coiny.org/docsF38
- COINY
coiny.org/case-studiesF38
- COINY
coiny.org/aboutF31

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