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qdelivery.app

qdelivery.app

Weak AI visibility with 22 of 48 criteria passing. Biggest gap: llms.txt file.

47/100
F
Citation Avg
Answer Readiness
~40% weight
6/10
Content Structure
~25% weight
4/10
Trust & Authority
~15% weight
4/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
5/10

Verdict

Below-average AEO readiness at 47/100 - multiple areas need attention. Key strengths include Content Cannibalization, Duplicate Content Blocks, and Cross-Page Duplicate Content. Priority gaps: llms.txt File, Schema.org Structured Data, and RSS/Atom Feed.

#7117of 13363
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How to Improve

Current
47/100
Projected
78/100
45Total Fixes
12Quick Wins
~106hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersImplement semantic HTML5 elementsAdd definition-style contentAdd direct answer paragraphsAdd ai.txt and content licensingEnhance author and expert schemaFix canonical URL strategyAdd visible date signalsIncrease content depth and structureMake pages solve the user task fasterImprove citation-ready writing quality
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
high|trivial
Fix canonical URL strategy
critical|low
Fix HTML structure and meta tags
low|low
Create complete sitemap.xml
medium|low
Reduce render-blocking resources
low|low
Add internationalization signals
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.

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

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.

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.

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

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.

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.

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 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 AI44

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Site Pages

www.qdelivery.app/blogF33
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