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shelterafrique.org

shelterafrique.org

Weak AI visibility with 24 of 53 criteria passing. Biggest gap: llms.txt file.

43/100
F
Citation Avg
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
5/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
5/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 43/100 - shelterafrique.org is largely invisible to AI engines. Key strengths include Duplicate Content Blocks, Cross-Page Duplicate Content, and Entity Density. 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.

#12443of 18019
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How to Improve

Current
43/100
Projected
77/100
48Total Fixes
21Quick Wins
~101hEst. Effort
Quick Wins
Create /llms.txt fileFix HTML structure and meta tagsStrengthen entity authority (NAP)Configure robots.txt for AI crawlersLink orphan pages into site navigationAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyImprove query-answer alignmentAdd visible date signalsFocus blog content on core expertiseIncrease content depth and structureMake pages solve the user task fasterImprove citation-ready writing qualityAdd answer-first content placementPackage evidence for AI enginesAdd internationalization signalsReduce render-blocking resourcesAdd an AI-assistance disclosureFix titles & meta descriptionsCite sources in content pages
Fix HTML structure and meta tags
high|low
Configure robots.txt for AI crawlers
critical|low
Create complete sitemap.xml
critical|medium
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Fix canonical URL strategy
critical|low
Reduce render-blocking resources
high|low
Add internationalization signals
high|low
Stabilize page layout
medium|low
Improve server response efficiency
medium|low
Reduce document weight
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.

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.

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

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 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.

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 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 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.

Define the primary entity in the first 500 characters, use consistent terminology (same term 70%+), and add "unlike X" signals to help AI engines distinguish your topics.

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