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m-quadrat.com

m-quadrat.com

Weak AI visibility with 16 of 53 criteria passing. Biggest gap: llms.txt file.

27/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
3/10
Content Structure
~25% weight
2/10
Trust & Authority
~15% weight
1/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
1/10

Verdict

Critical AEO gaps at 27/100 - m-quadrat.com is largely invisible to AI engines. Key strengths include Duplicate Content Blocks, Page Speed: Load Blockers, and Page Speed: Page Size. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format. HTTPS is not enabled, which caps several criteria scores and reduces AI crawler trust. 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
27/100
Projected
71/100
46Total Fixes
14Quick Wins
~115hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseAdd first-hand experience signalsExplain how content was tested or reviewedReduce extraction frictionAdd image context for AI enginesEliminate cross-page duplicate contentAdd an AI-assistance disclosureCite sources in content pages
Fix HTML structure and meta tags
critical|medium
Create complete sitemap.xml
critical|medium
Configure robots.txt for AI crawlers
critical|low
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Stabilize page layout
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.

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.

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.

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 more proper nouns throughout content - named sources, organizations, tools, studies, and locations. Cited text averages 20.6% proper nouns; most sites fall well below 15%.

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

Write self-contained definition sentences and single-claim statements that AI engines can quote directly. Avoid pronouns like "this" or "that" at the start of answer paragraphs.

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

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