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fexenergy.com

fexenergy.com

Weak AI visibility with 20 of 48 criteria passing. Biggest gap: llms.txt file.

47/100
F
Citation Avg
Answer Readiness
~40% weight
7/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Content Cannibalization, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and Sitemap Completeness.

#6830of 13363
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How to Improve

Current
47/100
Projected
79/100
41Total Fixes
12Quick Wins
~89hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsIncrease content depth and structurePackage evidence for AI enginesClarify entity boundaries
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Create complete sitemap.xml
critical|medium
Fix HTML structure and meta tags
medium|low
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
low|low
Improve server response efficiency
low|low

Top Opportunities10

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.

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.

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.

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

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.

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.

Fix It With AI43

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Site Pages

www.fexenergy.com/technologyF38
Fex Energy - Technology
www.fexenergy.com/remote-and-off-grid-operationsF39
Fex Energy - Remote and Off-grid Operations
www.fexenergy.com/industrial-operationsF37
Fex Energy - Industrial Operations
www.fexenergy.com/dual-useF38
Fex Energy - Dual Use
www.fexenergy.com/campuses-communitiesF38
Fex Energy - Campuses & Communities
www.fexenergy.com/teamsD43
Fex Energy - Teams
www.fexenergy.com/blogD42
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