Is your content ready for AI search?
Check any URL against 20 ranking factors. Get your AI/LLM readiness score and traditional SEO score — with actionable recommendations to improve both.
What we check
AI / LLM Readiness Score
Measures how likely your content is to be cited by AI search engines like ChatGPT, Perplexity, Claude, and Google AI Overviews.
- Schema.org / JSON-LD structured data
- FAQ structure and FAQPage schema
- Entity richness and named entities
- Citation-friendly definitions and data points
- E-E-A-T trust signals (author, dates, sources)
- Structured content (lists, tables)
- Content depth and topical coverage
On-Page SEO Score
Traditional on-page SEO signals that determine how well your page ranks in Google organic search results.
- Title tag length and keyword placement
- Meta description optimization
- Heading hierarchy (H1, H2, H3)
- Image alt attributes
- Internal linking structure
- Canonical tags and HTTPS
- Mobile-friendliness and performance
Why AI search readiness matters in 2026
AI-powered search is no longer a future trend — it's happening right now. ChatGPT, Perplexity, Google AI Overviews, and Claude are fundamentally changing how people find information. If your content isn't optimized for AI search engines, you're missing the fastest-growing traffic source on the internet.
of Google searches now show AI Overviews at the top of results
monthly active users on ChatGPT search alone
of AI citations come from pages with structured data markup
How AI search engines choose which content to cite
Unlike traditional search engines that rank pages by backlinks and keyword matching, AI models evaluate content based on how useful, structured, and trustworthy it is. Understanding these factors is the key to getting your content cited in AI-generated answers.
Structured data and schema markup
JSON-LD schema (Article, FAQ, HowTo, Product) gives AI models a machine-readable map of your content. Pages with schema markup are 2.5x more likely to be cited in AI-generated responses.
Entity richness and named entities
AI models understand content through entities — people, places, organizations, concepts. Content rich in clearly defined named entities is easier for LLMs to parse and reference accurately.
Citation-friendly formatting
Clear definitions, specific data points, statistics with sources, and concise factual statements make it easy for AI to quote your content directly. Think of each paragraph as a potential citation.
E-E-A-T trust signals
Experience, Expertise, Authoritativeness, and Trustworthiness signals — author bios, publication dates, source references, and credentials — help AI models assess whether your content is reliable enough to cite.
Content depth and topical authority
AI models prefer comprehensive content that covers a topic thoroughly. Pages with 1,500+ words, proper heading hierarchy, and internal links to related content demonstrate topical authority.
FAQ and Q&A structure
Question-and-answer formatting maps directly to how users query AI search engines. FAQPage schema with clear, concise answers gives AI models ready-to-use responses to common questions.
Understanding your AI readiness score
Your score reflects how well your content is structured for AI search engines. Here's what each range means and what you should prioritize to improve.
AI-ready content
Your content has strong structured data, entity richness, and citation-friendly formatting. AI models are likely to reference and cite this content. Focus on maintaining quality and expanding topical coverage.
Room for improvement
Your content has some AI-friendly elements but is missing key signals. Adding schema markup, improving entity clarity, and including specific data points will significantly boost your score.
Not AI-optimized
AI search engines are unlikely to cite this content in its current form. Prioritize adding JSON-LD schema, restructuring content with clear headings and definitions, and enriching with named entities and statistics.
Stop guessing — start generating AI-optimized content
UnlimitedVisitors automatically generates content that scores 85-95 on AI readiness. Schema markup, entity optimization, and GEO signals are built in from day one.
Frequently asked questions
What is an AI Search Readiness Score?
It measures how likely your content is to be cited or recommended by AI-powered search engines — ChatGPT, Perplexity, Google AI Overviews, and Claude. Unlike traditional SEO scores that focus on ranking in blue links, the AI readiness score evaluates entity clarity, schema markup, citation-friendly formatting, and trust signals that AI models look for.
Is this tool really free?
Yes, 100% free with no limits. No signup or email required. We built it to help you understand how AI search engines see your content — and to show you what UnlimitedVisitors generates by default.
What's a good AI readiness score?
Above 70 is strong — your content has the structural elements AI models look for when choosing sources to cite. 40-70 means there's room for improvement. Below 40 means AI models are unlikely to reference your content. Content generated by UnlimitedVisitors typically scores 85-95.
How is this different from other SEO checkers?
Most SEO checkers only evaluate traditional ranking factors (title, meta, headings). This is the first free tool that also scores your content's readiness for AI search — the fastest-growing traffic source, with over 100% year-over-year growth.
How can I improve my AI readiness score?
Focus on: adding JSON-LD schema markup (FAQ, Article, HowTo), enriching content with named entities, including specific data points and statistics, adding clear definitions that AI can quote, and building comprehensive topical coverage with internal links.
What is Generative Engine Optimization (GEO)?
GEO, also called LLMO (Large Language Model Optimization), is the practice of optimizing your content to be cited by AI-powered search engines. It goes beyond traditional SEO by focusing on structured data, entity richness, citation formatting, and trust signals that language models prioritize when generating answers.
Does AI readiness affect my Google ranking?
Yes, indirectly. Google AI Overviews pull content from pages that rank well AND have strong AI-friendly signals. Improving your AI readiness — structured data, entity richness, E-E-A-T signals — also improves your traditional SEO, making it a win-win optimization strategy.
How often should I check my AI readiness score?
Check after every major content update or new page publication. AI search algorithms evolve rapidly, so re-testing monthly helps you stay ahead. Our tool is free with no limits, so test as often as you need.