AI Overviews Eligibility Checker
The AI Overviews Eligibility Checker analyzes your content for signals that influence whether Google's AI Overviews might cite or feature your page. As AI-generated search results become more prominent, understanding what makes content "AI-citable" is crucial for visibility.
Paste your page content and receive a score based on multiple factors: content length and depth, presence of FAQ sections, use of lists and tables, schema markup hints, and content structure. Each factor is scored individually so you know exactly where to improve.
This is a heuristic tool based on observed patterns in AI Overview citations—not a guarantee of inclusion. However, optimizing for these signals improves your chances of being cited by AI search features across Google, ChatGPT, Perplexity, and other AI answer engines.
Essential for content strategists optimizing for the AI search era and SEO professionals building AI-visible content.
How It Works
Get results in just a few simple steps
Paste your page content into the text area
Click analyze to check eligibility signals
Review your overall score (0-100)
See individual scores for each factor
Read specific recommendations for improvement
Optimize your content and re-check
Common Mistakes to Avoid
Don't make these frequent errors
Writing thin content (under 500 words) for complex topics
Missing FAQ sections that directly answer common questions
Using walls of text instead of lists, tables, and clear structure
Lacking schema markup that helps AI understand content
Not including clear, direct answers to implied questions
Frequently Asked Questions
What factors influence AI Overview citations?
Key factors include content depth and accuracy, clear structure with headings, lists and tables for data, FAQ sections with direct answers, schema markup, and overall content authority. Our tool checks for these observable signals.
Does a high score guarantee AI Overview inclusion?
No, this is a heuristic tool based on observed patterns. Google's AI Overviews algorithm considers many factors including E-E-A-T, domain authority, and query-specific relevance. A high score means you're optimizing the right signals, but inclusion isn't guaranteed.
How is this different from traditional SEO?
AI Overview optimization overlaps with traditional SEO but emphasizes direct answers, structured content, and comprehensive coverage. AI systems prefer content that directly answers questions rather than content optimized primarily for keywords.
Should I optimize for AI Overviews or traditional search?
Both. AI Overview optimization aligns with quality content best practices that also help traditional rankings. Focus on comprehensive, well-structured content that directly answers user questions—this serves both AI and traditional search.
See also
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