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digi-prex.com
SUMMER 2019

digi-prex.com

Weak AI visibility with 15 of 48 criteria passing. Biggest gap: llms.txt file.

39/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
1/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
2/10

Verdict

Critical AEO gaps at 39/100 - digi-prex.com is largely invisible to AI engines. Key strengths include Answer-First Placement, Duplicate Content Blocks, and Page Speed: Page Size. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#10447of 13363
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How to Improve

Current
39/100
Projected
76/100
42Total Fixes
14Quick Wins
~103hEst. Effort
Quick Wins
Create /llms.txt fileAdd question-based headingsConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd ai.txt and content licensingIncrease fact and data densityFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsExplain how content was tested or reviewedImprove citation-ready writing qualityReduce extraction frictionEliminate cross-page duplicate content
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Fix HTML structure and meta tags
low|low
Improve server response efficiency
medium|low
Reduce render-blocking resources
low|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.

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

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

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.

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.

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

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.

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