AI SEO Analyzer
Run an AI SEO checker to see why ChatGPT, Google AI Overview, and DeepSeek are not citing your page, and which on-page fixes will improve citation visibility first.
What Does This AI SEO Checker Look For?
This AI SEO checker evaluates your page across 10 critical dimensions that influence whether AI search engines like ChatGPT, Perplexity, DeepSeek, and Google AI Overview can understand, trust, and cite your content. It goes beyond traditional SEO checks by focusing on AI-specific citation signals such as FAQ coverage, structured data completeness, entity clarity, content chunking, external citation quality, and heading hierarchy. Each dimension is scored independently so you can see which fixes are most likely to raise citation probability first.
What This Tool Analyzes
AI Readability
How easily AI systems can parse and understand your content.
Heading Structure
Whether your page has a clear, hierarchical heading structure.
FAQ Coverage
Presence of FAQ/Q&A content that AI engines love to cite.
Semantic Clarity
How clearly your content defines entities and concepts.
Citation Readiness
Signals that make your page more likely to be cited by AI.
Schema Presence
Valid JSON-LD structured data on your page.
How to Use This Tool
- 1Enter your URL - Paste the full URL of the page you want to analyze.
- 2Review your GEO Score - Get an overall score from 0-100 showing your AI readiness.
- 3Follow recommendations - Each score category comes with actionable tips to improve.
Frequently Asked Questions
What is AI SEO Analysis?
AI SEO Analysis evaluates how well your webpage is optimized for AI-powered search engines like ChatGPT, Perplexity, and Google AI Overview. It checks factors that determine whether AI systems can understand, summarize, and cite your content.
What makes a page AI-ready?
An AI-ready page has clear heading structure, structured data (Schema.org), FAQ sections, well-defined entities, proper meta tags, and content that is easy for AI to chunk and understand. Our analyzer checks all these factors.
How is this different from traditional SEO analysis?
Traditional SEO focuses on ranking in search engine results pages (SERPs). AI SEO (also called GEO - Generative Engine Optimization) focuses on making your content citable by AI systems. This means optimizing for semantic clarity, structured data, and content chunking rather than just keywords and backlinks.
Which AI platforms does this analyzer cover?
Our analyzer checks for readiness across major AI platforms including ChatGPT, Perplexity, Bing Copilot, Google AI Overview, as well as Chinese AI platforms like Baidu AI Search, DeepSeek, Kimi, and Doubao.
How is this different from a traditional SEO audit?
Traditional SEO audits focus on factors like keyword density, backlink profiles, and page speed to improve search engine rankings. The AI SEO Analyzer focuses on factors that determine whether AI systems will cite your content: structured data quality, FAQ coverage, entity clarity, content chunking, and external citation authority. Both types of optimization are important — AI SEO complements, not replaces, traditional SEO.
Can I use this analyzer alongside traditional SEO tools?
Absolutely. The AI SEO Analyzer complements tools like Google Search Console and Ahrefs by focusing on AI-specific factors they don't cover — structured data quality, entity clarity, FAQ coverage, and content chunking. Use both for a complete optimization picture.
Who Uses the AI SEO Analyzer?
Content Creators
Before publishing, run your draft pages through the analyzer to catch missing meta tags, broken heading hierarchy, or absent structured data that could hurt AI citations.
Web Developers
Verify that technical SEO implementations (schema markup, canonical URLs, Open Graph tags) are correctly parsed and contributing to AI readability scores.
Marketing Teams
Generate AI readiness reports for client websites. Use the detailed breakdown to create prioritized optimization roadmaps focused on AI visibility improvements.
E-commerce Managers
Ensure product pages have proper schema markup (Product, FAQ, Review), clear entity definitions, and optimized meta tags so AI assistants recommend your products.
Why AI SEO Analysis Matters for AI Search Visibility
AI search engines like ChatGPT, Perplexity, and Google AI Overview evaluate your pages using fundamentally different criteria than traditional Google Search. They prioritize content that is structurally clear, semantically well-defined, and rich in factual claims backed by external citations. Without a comprehensive AI readiness audit, you may be invisible to these platforms even if you rank well in traditional search results.
Our AI SEO Analyzer is the only free tool that evaluates all ten GEO factors in a single scan — from FAQ presence and heading hierarchy to structured data and entity clarity. By identifying and fixing the highest-impact issues first, you can measurably increase your citation probability across all ten major AI platforms, often seeing improvements within days of implementing the recommended changes.
Best Practices
Run Regular Baseline Audits
Analyze your key pages before and after optimization to track AI readiness improvements. Establish a baseline score for your homepage and top landing pages so you can measure progress over time.
Fix Highest-Impact Issues First
The analyzer ranks issues by weight — structured data and FAQ content carry the most points. Tackle these before meta tags or image alt text to see the biggest score jumps from each optimization cycle.
Use as a Pre-Publish Checklist
Run the analyzer on draft pages before publishing. Catching missing schema, broken heading hierarchy, or absent FAQ sections before launch prevents lost AI citation opportunities from day one.
What To Fix Next
The analyzer finds the gaps. The next lift usually comes from adding schema, tightening page summaries, and connecting the page to a stronger topical cluster.
Add schema markup first
If your structured data score is weak, add FAQPage, Article, and Organization JSON-LD before smaller tweaks.
Tighten titles and descriptions
Fix title tags, descriptions, canonicals, and OG tags so AI systems understand topic and preferred URL faster.
Study a high-intent content model
Use our statistics page as a reference for data sections, summary blocks, and internal-link structure.