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metricapp.co

metricapp.co

Weak AI visibility with 23 of 48 criteria passing. Biggest gap: content freshness signals.

43/100
1 since v1
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 43/100 - metricapp.co is largely invisible to AI engines. Key strengths include llms.txt File, Content Cannibalization, and Cross-Page Duplicate Content. Priority gaps: Content Freshness Signals, Sitemap Completeness, and RSS/Atom Feed. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.

#9150of 13363
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How to Improve

Current
43/100
Projected
77/100
41Total Fixes
13Quick Wins
~92hEst. Effort
Quick Wins
Add question-based headingsConfigure robots.txt for AI crawlersLink orphan pages into site navigationAdd direct answer paragraphsAdd ai.txt and content licensingFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseIncrease content depth and structureImprove citation-ready writing qualityAdd answer-first content placementReduce extraction frictionFix duplicate content blocks
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Fix canonical URL strategy
critical|low
Fix HTML structure and meta tags
low|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Improve server response efficiency
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.

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.

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.

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.

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.

Sections within pages contain identical or near-identical text. LLMs may flag this as low-quality or thin content, reducing citation authority. Rewrite duplicate blocks with unique angles.

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 dateModified schema, visible last-updated dates, and time elements on content pages. Fresh content signals help AI engines prioritize your pages over stale alternatives.

Fix It With AI43

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Site Pages

metricapp.co/arD41
Metric - Home
Changes since v1Last audited 52 days ago
42
43
+1
View full comparison →
Add Original Data & Case StudiesFocus Content on Core TopicsIncrease Fact & Data DensityImprove Question-Answer AlignmentIncrease Content DepthAdd Structured Tables & ListsFix Duplicate Content BlocksAdd Direct Answer ParagraphsAdd Owned Data SignalsAdd Content Freshness Signals

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