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memorahealth.com
WINTER 2018

memorahealth.com

Weak AI visibility with 21 of 48 criteria passing. Biggest gap: llms.txt file.

48/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 48/100 - multiple areas need attention. Key strengths include Duplicate Content Blocks, Cross-Page Duplicate Content, and Entity Density. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

#6395of 13363
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How to Improve

Current
48/100
Projected
80/100
45Total Fixes
12Quick Wins
~84hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd structured tables and listsAdd definition-style contentAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsIncrease content depth and structureImprove citation-ready writing quality
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Create complete sitemap.xml
medium|low
Add internationalization signals
critical|medium
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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.

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.

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.

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

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.

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.

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

www.memorahealth.com/service-lines-legacy/gastrointestina...F35
Memora - Live Site
www.memorahealth.com/resource-legacy/what-it-takes-to-inn...F36
How AI Can Improve Patient Outcomes | Memora Health

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