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smartprof.fr

smartprof.fr

Weak AI visibility with 19 of 48 criteria passing. Biggest gap: llms.txt file.

40/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
3/10
Trust & Authority
~15% weight
2/10
Technical Foundation
~10% weight
3/10
AI Discovery
~10% weight
4/10

Verdict

Critical AEO gaps at 40/100 - smartprof.fr is largely invisible to AI engines. Key strengths include Duplicate Content Blocks, Entity Density, and Page Speed: Server Response. Priority gaps: llms.txt File, Schema.org Structured Data, and Q&A Content Format. 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
40/100
Projected
76/100
44Total Fixes
14Quick Wins
~98hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsStrengthen entity authority (NAP)Configure 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 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
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Add internationalization signals
critical|medium
Reduce render-blocking resources
medium|low
Create complete sitemap.xml
low|low
Improve server response efficiency
low|low
Reduce document weight
low|low

Top Opportunities10

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.

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

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.

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.

Strengthen internal linking with descriptive anchor text between related pages. Add breadcrumb navigation and ensure every key page is reachable within 3 clicks from the homepage.

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.

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.

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