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Enter URL
You can diagnose not just homepages but also specific article page URLs.
Free Tools/AI SEO DiagnosticFree • No Registration
AI SEO & LLMO Diagnostic
Instant Score Just by Entering a URL
This is a free tool page for AI SEO & LLMO diagnostics. Instantly score your site's evaluation in generative AI search, and as the first step in AI search optimization (GEO: Generative Engine Optimization) essential for the AI era, understand your site's AI SEO status in just 30 seconds.
No Registration~30 Seconds100% Free
AI SEO Diagnostic in 3 Simple Steps
No expertise required. Anyone can complete an AI SEO & LLMO diagnostic in just 3 simple steps.
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Start Diagnostic
Our proprietary AI analysis engine crawls in real-time and begins LLMO-focused evaluation.
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75
Review Report
Get a comprehensive score out of 100, detailed diagnostics across 5 metrics, and specific improvement actions.
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Frequently Asked Questions
Q
Why is AI SEO & LLMO diagnostic important?
A
AI SEO & LLMO diagnostic is important because it measures the likelihood of your site being cited as an information source in generative AI search like Google's SGE (Search Generative Experience). Sites with high AI SEO scores are considered trustworthy and easy-to-cite by AI, dramatically increasing the probability of being used in direct answers to users.
Q
How reliable is the score from this AI SEO diagnostic tool?
A
Our AI SEO & LLMO diagnostic score is calculated using proprietary algorithms developed based on the latest LLM (Large Language Model) research papers, published technical materials, and analysis data from over 10,000 sites. While the score doesn't guarantee 100% accuracy, it serves as a highly reliable indicator for understanding evaluation trends in AI search and identifying specific improvement points.
Q
What should I do if my AI SEO diagnostic score is low?
A
If your AI SEO diagnostic score is low, we recommend making site modifications following the 'Improvement Suggestions' shown in the diagnostic report. Often, 'Schema & LLM Hints' and 'Extractability' scores are low. Specifically, implementing JSON-LD structured data, creating llms.txt files, optimizing heading structure, and adding FAQ sections are effective improvements.