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Is Your Website AI-Ready?

Check how AI systems see your site. Analyze robots.txt, llms.txt, structured data — and get actionable recommendations.

Server-side analysis 10 AI bots checked 100% free, no signup
Scanning for AI readiness...
Connecting to website...
Checking robots.txt for AI bots...
Looking for llms.txt...
Analyzing structured data...
Evaluating content citability...
Calculating AI readiness score...
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AI Ready
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    Go deeper with a comprehensive report: competitor comparison, AI crawler logs analysis, custom llms.txt generation, and a step-by-step action plan to reach Grade A+.

    • Detailed analysis of all 10 AI bot interactions
    • Custom llms.txt file generated for your site
    • Schema.org markup recommendations
    • Priority action plan with estimated impact
    • PDF report you can share with your team
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    What is AI Readiness?

    AI Readiness measures how well your website is prepared for discovery and citation by AI systems like ChatGPT, Claude, Gemini, and Perplexity. As more people use AI assistants to find information, your website's visibility in AI responses becomes as important as traditional search rankings.

    Our checker evaluates five key areas that determine whether AI systems can effectively crawl, understand, and cite your website. A high AI readiness score means your content is more likely to be accurately referenced when users ask AI assistants questions related to your expertise.

    Scoring Categories

    robots.txt & AI Bots
    30 points
    llms.txt
    20 points
    Structured Data
    25 points
    Content Citability
    15 points
    AI Meta Directives
    10 points

    Understanding llms.txt

    The llms.txt file is a proposed standard that helps large language models understand your website. While robots.txt controls which pages can be crawled, llms.txt provides structured context about your site's content, purpose, and preferred citation format.

    A well-crafted llms.txt includes a title, description, key URLs, and information about your organization. Some sites also provide an llms-full.txt with more detailed content. This helps AI systems generate more accurate responses about your business or content.

    How to Control AI Crawlers

    You can control how AI bots interact with your website using your robots.txt file. Each major AI company has its own bot user agent. Here are the most important ones to know about:

    GPTBot (OpenAI) and ChatGPT-User crawl content for ChatGPT. ClaudeBot (Anthropic) collects training data for Claude. Google-Extended is used for Gemini AI training. CCBot (Common Crawl) builds open datasets used by many AI companies. Bytespider (ByteDance) collects data for TikTok's AI. PerplexityBot powers the Perplexity AI search engine.

    Whether you should block or allow these bots depends on your strategy. Blocking prevents your content from being used as training data but may also reduce your visibility in AI-powered search results. Allowing access increases the chance that AI systems can cite your content accurately.

    Frequently Asked Questions

    What happens if I block all AI bots?
    Blocking all AI bots prevents your content from being used as training data, but it may also reduce your visibility in AI-powered search results and chatbot responses. AI search engines like Perplexity and Google's AI Overviews may not be able to reference your content. Consider a balanced approach: allow bots that drive traffic (like ChatGPT-User for web browsing) while blocking training-focused bots if you want to protect your content.
    How is AI readiness different from traditional SEO?
    Traditional SEO focuses on ranking in search engine results pages (SERPs) via keywords, backlinks, and technical optimization. AI readiness focuses on how well AI systems can understand, extract, and cite your content. While there is overlap (structured data helps both), AI readiness also considers factors like llms.txt, AI bot access policies, and content structure that makes information easy to quote accurately. As AI-powered search grows, both disciplines become essential.
    Do I need structured data for AI readiness?
    Structured data (Schema.org JSON-LD, Open Graph, Twitter Cards) helps AI systems understand the type and context of your content. For example, a FAQPage schema tells AI that your content contains questions and answers, making it more likely to be cited in conversational AI responses. While not strictly required, sites with rich structured data consistently score higher in AI readiness assessments and are cited more accurately.
    What makes content "citable" by AI?
    Citable content has clear headings (H1, H2, H3), a logical structure, sufficient depth (typically 500+ words), uses lists and tables for data, and contains unique insights or facts. AI systems prefer content that can be easily broken into discrete, quotable segments. Short, vague, or poorly structured pages are less likely to be referenced. Think of it as writing for a research assistant who needs to extract specific facts from your page.
    How often should I check my AI readiness?
    Check your AI readiness whenever you make significant changes to your website: after redesigns, CMS migrations, robots.txt updates, or content strategy changes. Also check quarterly as AI standards evolve rapidly. New bot user agents are introduced regularly, and best practices for llms.txt and AI meta directives continue to develop as the ecosystem matures.
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