shiftpixy.com
Moderate AI visibility with 35 of 48 criteria passing. Biggest gap: llms.txt file.
Developer Tools & InfrastructureDeveloper PlatformsVerdict
Moderate AEO readiness at 65/100 with significant gaps to address. Key strengths include Internal Linking Structure, Sitemap Completeness, and RSS/Atom Feed. Priority gaps: llms.txt File, Content Licensing & AI Permissions, and Speakable Schema.
How to Improve
Add a machine-readable llms.txt file at your domain root that describes your site, services, and key pages for AI engines.
Create a comprehensive llms-full.txt with detailed page descriptions, content summaries, and topic taxonomy.
Ensure clean, well-structured HTML with proper meta tags, HTTPS, and parseable content for AI crawlers.
Trim oversized HTML, excessive DOM nodes, and large inline payloads that slow AI crawlers.
Update robots.txt to explicitly allow AI crawlers and include sitemap directive.
Implement hreflang tags and lang attributes so AI engines serve the correct language version when answering queries.
Minimize blocking scripts and stylesheets in <head> to improve content availability for AI crawlers.
Optimize compression, cache headers, redirect chains, and HTML payload size for faster AI crawler access.
Top Opportunities10
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.
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.
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.
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.
Show direct use, testing, implementation, or lived experience with concrete observations, examples, screenshots, and lessons learned.
Use semantic HTML5 elements (main, article, nav, header, footer, section) to give AI parsers clear content structure. Add lang attribute and ARIA labels for accessibility.
Ensure every question-format heading (H2/H3) is followed by a direct answer paragraph. This pattern is ideal for AI engine snippet extraction.
Add a /llms.txt file that describes your site, core services, and key pages in markdown format. This helps AI engines like ChatGPT and Claude understand your site structure and content offerings.
Create an /ai.txt file specifying AI usage permissions and add license schema to your structured data. Clear licensing signals help AI engines understand how they can use your content.
Explain how pages were tested, researched, reviewed, or updated. Add methodology, criteria, sample-size, or review-process details where users expect them.
Fix It With AI37
Score Breakdown
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Guides for the criteria with the most room for improvement