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kokocares.org
WINTER 2022

kokocares.org

Weak AI visibility with 24 of 48 criteria passing. Biggest gap: llms.txt file.

Healthcare & Patient AdvocacyHealthcare Technology
49/100
1 since v1
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
5/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
2/10

Verdict

Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include Duplicate Content Blocks, Page Speed: Page Size, and Owned Data Density. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

How to Improve

Current
49/100
Projected
80/100
43Total Fixes
14Quick Wins
~81hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationImplement semantic HTML5 elementsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsMake content creators clearly visibleReduce extraction friction
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
medium|low
Improve server response efficiency
low|low
Add internationalization signals
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.

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

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

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.

Add more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

Add inline citations to external sources, "According to [Source]..." attribution phrases, and a Sources section at the end of key articles.

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.

Fix It With AI45

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Site Pages

kokocares.org/services-privacy-policy-espanolF33
Services Privacy Policy - Español
kokocares.org/services-privacy-policyF33
Services Privacy Policy | Koko
kokocares.org/resourcesF31
Mental Health Research | Koko
kokocares.org/partnerF28
Partner with Koko | Join Our Mission
kokocares.org/esF37
Free Mental Health Support for Young People | Koko
kokocares.org/impactF34
Koko’s Impact | Helping Millions Worldwide
Changes since v1Last audited 76 days ago
50
49
-1
View full comparison →
Focus Content on Core TopicsAdd Structured Tables & ListsAdd Direct Answer ParagraphsAdd Answer Capsule PatternsRestructure Content as Q&AImprove Question-Answer AlignmentAdd Content Freshness SignalsIncrease Entity DensityPackage Evidence for AIAdd Entity Disambiguation

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