An AI visibility checker helps evaluate how prepared a website is for discovery across AI-powered search experiences. LLMrush works as a free AI visibility checker and LLM visibility checker by auditing crawler accessibility, search indexability, structured data, content structure, and other technical signals that can influence AI search readiness.
It can also help identify technical issues that may affect ChatGPT search visibility and discovery across other AI-powered search systems. However, AI search readiness is not the same as measuring live brand mentions or citations inside ChatGPT, Gemini, Perplexity, or other AI platforms.
Check if AI platforms can understand your website.
Improve your chances of appearing in AI answers.
Prepare your website for AI-first search.
Want deeper insights? Explore our AI Crawlability Checker, LLMs.txt Validator, and GPTBot Checker to identify technical issues that may affect your AI visibility.
Review your visibility signals, content clarity, and AI citation opportunities.
Content clarity
StrongStructured data
GoodCitation opportunities
ImproveSubmit your domain and start an instant AI visibility analysis.
Review content quality, crawlability, authority, and discoverability factors.
Generate an AI visibility score based on multiple search readiness signals.
Receive practical recommendations to improve AI discoverability.
Enter any public URL and LLMrush analyzes observable technical and content signals related to AI search readiness. The checker reviews whether important pages can be accessed, indexed, understood, and discovered by search engines and AI-powered search systems.
The analysis reviews discoverability, content clarity, structured data signals, authority indicators, and other factors that influence how websites appear across modern AI platforms.
For a deeper analysis, explore our AI Crawlability Checker to review AI crawler accessibility.
LLMrush checks the key signals that help AI platforms understand your website, trust your content, and decide whether your brand is worth mentioning in AI-generated answers.
HTTP response, HTTPS, indexability directives, canonical and mobile foundations.
Robots.txt rules affecting OAI-SearchBot and other relevant AI crawler controls.
Sitemaps, crawl directives and signals that help important URLs remain discoverable.
Titles, headings, language declaration and machine-readable page organization.
Relevant JSON-LD and structured information that can help machines understand page context.
Optional signals such as llms.txt and other machine-readable elements, clearly separated from proven ranking requirements.
Improving AI search visibility starts with making your website accessible, indexable, understandable, and easy to discover. LLMrush identifies technical and content issues that may limit your site's readiness for AI-powered search and provides actionable recommendations for improvement.
Platform inclusion, mentions, citations, and rankings are determined independently by each provider and cannot be guaranteed by this audit.
To maximize visibility across modern AI platforms, verify your website's AI accessibility using our LLMs.txt Validator and check crawler access with our GPTBot Checker to ensure AI systems can properly discover and understand your content.
Your score summarizes the observable technical, crawlability, discoverability, and content-structure signals detected during the audit.
Strong AI visibility with clear content, trust signals, and high discoverability.
Your website is AI-ready, but small improvements can increase mentions and visibility.
AI systems can understand some parts of your website, but key signals need work.
Your website may have crawlability, content clarity, or trust signal issues.
AI systems may struggle to discover, understand, or recommend your website.
AI-powered search is changing how people discover brands, websites, products, and information. Improving your website's AI search readiness can strengthen the foundations needed for discovery across search engines, AI assistants, and emerging answer-driven search experiences.
Users now ask AI tools for product suggestions, service comparisons, and trusted recommendations. Better AI visibility helps your brand become easier to understand and mention in relevant answers.
Prepare your website for AI-first discovery before your competitors do.
Clear content, structured data, and authority signals help AI systems understand your expertise.
Learn how AI visibility works, why it matters, and how LLMrush helps you improve your presence across AI-powered search experiences.
An LLM visibility checker evaluates signals related to how discoverable and understandable a website may be for large language model-powered search experiences. LLMrush focuses on measurable website readiness signals such as crawler access, indexability, structured data, and content structure rather than claiming to measure every live AI-generated answer.
Enter a public website URL and LLMrush performs a live audit of observable website signals. It checks areas such as indexability, robots.txt rules, AI crawler access, sitemaps, page structure, metadata, internal linking, and machine-readable signals. The results are combined into an AI Search Readiness Score with evidence and recommended fixes.
Start by checking whether your important pages are crawlable, indexable, accessible to relevant search crawlers, and structured clearly. LLMrush can audit these readiness signals and identify technical issues that may affect discovery. A readiness audit does not confirm that your brand is currently mentioned or cited in ChatGPT responses.
The AI Search Readiness Score is a 0–100 assessment based on observable technical, crawlability, discoverability, and content-structure signals detected on your website. A higher score indicates a stronger foundation for AI search discovery, but it does not guarantee rankings, mentions, citations, or inclusion in AI-generated answers.
Start by making important pages crawlable, indexable, technically accessible, clearly structured, and genuinely useful to users. Fix blocked crawler access where appropriate, maintain accurate sitemaps, improve internal linking, use descriptive titles and headings, add relevant structured data, and publish original content that clearly answers the topics your audience searches for.
That depends on your robots.txt rules and other website-level restrictions. LLMrush checks relevant crawler directives, including OAI-SearchBot access for ChatGPT Search, and identifies restrictions it can verify. Keep in mind that firewalls, CDNs, authentication, rate limits, and other server controls can also affect crawler access beyond robots.txt.
An llms.txt file can provide a machine-readable overview of important website resources, but it should not be treated as a guaranteed AI visibility or ranking factor. Major search and AI platforms do not universally require llms.txt. LLMrush therefore treats it as a supporting, optional signal rather than a requirement for AI search visibility.
Structured data can help search systems understand entities, page types, and content context when it is accurate and relevant. However, schema markup does not guarantee visibility or citations in AI-generated answers, and there is no special schema markup required solely for AI search. Use structured data because it accurately represents the content of the page.
Yes. You can use the LLMrush AI Visibility Checker to audit a public website URL and review its AI search readiness signals, detected issues, evidence, category scores, and recommended improvements without paying for the scan.