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gazemetrix.com

gazemetrix.com

Moderate AI visibility with 30 of 48 criteria passing. Biggest gap: llms.txt file.

53/100
D
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
7/10
Trust & Authority
~15% weight
6/10
Technical Foundation
~10% weight
6/10
AI Discovery
~10% weight
3/10

Verdict

Below-average AEO readiness at 53/100 - multiple areas need attention. Key strengths include Schema.org Structured Data, Query-Answer Alignment, and Duplicate Content Blocks. Priority gaps: llms.txt File, RSS/Atom Feed, and Definition Patterns. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

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How to Improve

Current
53/100
Projected
81/100
42Total Fixes
13Quick Wins
~80hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersBuild FAQ sections with schemaAdd content freshness signalsAdd direct answer paragraphsAdd ai.txt and content licensingAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsExplain how content was tested or reviewedImprove citation-ready writing qualityEliminate cross-page duplicate contentImprove server response efficiency
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Reduce document weight
critical|medium
Configure robots.txt for AI crawlers
high|trivial
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Improve server response efficiency
high|low
Reduce render-blocking resources
low|low
Fix canonical URL strategy
medium|trivial
Add internationalization signals
medium|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.

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.

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.

Include clear definition patterns ("X refers to...", "X is defined as...") for key terms and concepts. Definition-style content is highly citable by AI engines answering "what is" queries.

Place a concise 40-80 word answer block in the first 300 words of each page. Avoid throat-clearing openers like "In this article..." and lead with the answer.

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.

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