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corecare.ai
SUMMER 2020

corecare.ai

Weak AI visibility with 28 of 48 criteria passing. Biggest gap: schema.org structured data.

46/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
7/10

Verdict

Below-average AEO readiness at 46/100 - multiple areas need attention. Key strengths include llms.txt File, Original Data & Expert Analysis, and Fact & Data Density. Priority gaps: Schema.org Structured Data, Comprehensive FAQ Section, and Content Licensing & AI Permissions. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

#7437of 13363
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How to Improve

Current
46/100
Projected
77/100
40Total Fixes
11Quick Wins
~74hEst. Effort
Quick Wins
Add question-based headingsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaAdd visible date signalsIncrease content depth and structureClarify entity boundariesReduce extraction friction
Configure robots.txt for AI crawlers
high|trivial
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Create complete sitemap.xml
low|low
Reduce render-blocking resources
low|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.

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

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.

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.

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.

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

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

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Site Pages

corecare.ai/products/texas-solutionsD40
Texas Solutions - corecare.ai
corecare.ai/products/ohio-solutionsF39
Ohio Solutions - corecare.ai
Changes since v1Last audited 52 days ago
47
46
-1
View full comparison →
Focus Content on Core TopicsImprove Question-Answer AlignmentIncrease Content DepthFix Duplicate Content BlocksBuild Comprehensive FAQ SectionAdd Direct Answer ParagraphsAdd Owned Data SignalsRestructure Content as Q&AAdd Content Freshness SignalsAdd Schema.org Structured Data

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