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lombardmedical.com

lombardmedical.com

Weak AI visibility with 17 of 48 criteria passing. Biggest gap: llms.txt file.

Biotech & PharmaceuticalsMedical Devices
42/100
F
Citation Avg
Coherence gate active - score capped at 50
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 42/100 - lombardmedical.com is largely invisible to AI engines. 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. Topic coherence is 3/10, which caps the overall score at 50. Focusing content on core expertise areas is the single highest-impact improvement.

How to Improve

Current
42/100
Projected
76/100
45Total Fixes
12Quick Wins
~104hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd 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 qualityImprove server response efficiencyReduce render-blocking resources
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Fix HTML structure and meta tags
medium|low
Fix canonical URL strategy
critical|low
Reduce render-blocking resources
high|low
Add internationalization signals
critical|medium
Improve server response efficiency
high|low
Reduce document weight
medium|low
Create complete sitemap.xml
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.

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.

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

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

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

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 specific numbers, percentages, statistics, and data points throughout your content. Fact-dense content gives AI engines concrete data to cite rather than vague claims.

Fix It With AI45

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Site Pages

www.lombardmedical.com/homeF19
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