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kitemaker.co
WINTER 2021

kitemaker.co

Weak AI visibility with 10 of 34 criteria passing. Biggest gap: llms.txt file.

Developer Tools & InfrastructureDeveloper Platforms
37/100
Coherence gate active - score capped at 60
Answer Readiness
~40% weight
4/10
Content Structure
~25% weight
5/10
Trust & Authority
~15% weight
3/10
Technical Foundation
~10% weight
4/10
AI Discovery
~10% weight
3/10

Verdict

Critical AEO gaps at 37/100 - kitemaker.co is largely invisible to AI engines. Key strengths include Table & List Extractability, Content Cannibalization, and Q&A Content Format. Priority gaps: llms.txt File, Schema.org Structured Data, and Comprehensive FAQ Section.

How to Improve

Current
37/100
Projected
100/100
32Total Fixes
9Quick Wins
~74hEst. Effort
Quick Wins
Create /llms.txt fileConfigure robots.txt for AI crawlersAdd ai.txt and content licensingIncrease fact and data densityFix canonical URL strategyAdd visible date signalsFocus blog content on core expertiseImprove citation-ready writing qualityPackage evidence for AI engines
Create /llms.txt file
critical|low
Add llms-full.txt with extended content
medium|low
Configure robots.txt for AI crawlers
critical|low
Create complete sitemap.xml
critical|medium
Fix canonical URL strategy
critical|low
Fix HTML structure and meta tags
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.

Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.

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.

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.

Add Organization schema with consistent name, address, phone (NAP). Include sameAs links to social profiles and authoritative directories to strengthen entity recognition.

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.

Implement JSON-LD structured data (Organization, Service, Product, FAQPage) on key pages. Schema markup helps AI engines extract and cite your content accurately.

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 Person schema for content authors with credentials, expertise, and sameAs links. Expert attribution strengthens E-E-A-T signals that AI engines use to evaluate source credibility.

Fix It With AI32

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Site Pages

kitemaker.co/blog21
Kitemaker - Blog
kitemaker.co/changelog33
Kitemaker - Changelog
kitemaker.co/comparison/linear38
Kitemaker VS Linear

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