Enter your URL above for a diagnostic analysis of crawlability, metadata, structured data, performance signals, and content discoverability, with a scored report and PDF.
This checker measures observable website signals; it cannot guarantee AI Overview inclusion, rankings, traffic, citations, or other outcomes. Learn more in the AI readiness audit guide or explore AI-ready website services.
This audit complements traditional SEO by reviewing signals that can help search and AI systems access and interpret a website. It does not determine which businesses are recommended. Seven dimensions are scored and weighted:
Checks whether your robots.txt explicitly permits GPTBot (ChatGPT), PerplexityBot, ClaudeBot (Claude), Google-Extended (Gemini), and Amazonbot. These rules describe access for documented crawlers, but do not determine whether a system will read, index, or recommend your site.
Validates JSON-LD schema markup: Organization, Service, FAQPage, Article, BreadcrumbList, and WebPage types. Counts schema blocks, checks for required properties, and verifies @id linking for clearer machine-readable context. Structured data does not guarantee citations or recommendations.
Pulls available data from Google's PageSpeed Insights API — LCP, FID/INP, CLS, and overall Performance score for both mobile and desktop. Performance is one technical signal among many and does not predict how an AI system will select or display a page.
Checks title tag length, meta description completeness, Open Graph (og:title, og:description, og:image), Twitter Card meta, and canonical URL implementation. These tags provide page context to clients that read them; they do not guarantee representation in search or AI results.
Checks whether your site serves a valid /llms.txt file (and optionally /llms-full.txt). These files can provide an additional, structured overview for systems that choose to read them; they are optional and do not guarantee citation or discoverability.
Validates that a sitemap.xml exists and is referenced in robots.txt, that the sitemap URL is reachable, and that robots.txt follows the correct format. Missing or broken files can make crawling less predictable, but crawler behavior varies by system.
Checks whether a client can extract your business name, phone number, email address, and physical location from structured data and visible page content. Clear contact information can improve machine readability, but does not guarantee local visibility or citations.
The way people discover businesses is changing faster than most companies realize. These are The audit focuses on practical, observable signals rather than assumptions about any particular platform's audience or algorithm:
Traditional SEO and AI-readiness checks overlap but are not identical. Reviewing both can reveal technical issues, without promising rankings, traffic, citations, or answers.
The entire audit takes 60–90 seconds to complete. Here is what happens when you enter your URL:
No account required. No recurring email. Just a useful report based on real analysis of your actual website.
Your score reflects your website's current ability to be discovered, understood, and cited by AI-powered search engines. Here is what each score band means and what typically needs to change:
Fewer observable technical gaps across crawler access, structured data, performance, and content signals. Review the detailed findings for context.
Some signals are present, with gaps such as missing structured data, blocked crawlers, or no llms.txt to investigate.
Several technical issues may make a page harder for some systems to access or interpret. Use the findings to prioritize review.
Critical structural issues: AI crawlers are blocked, structured data is absent, performance is severely poor, or the site is unindexable. Requires significant remediation.
These are outcomes vitiv.ai clients achieved after implementing the fixes identified in their AI Readiness Audits and rebuilding their websites for AI search visibility:
"vitiv.ai rebuilt our digital presence and helped us clarify our website content, automation, and customer journey."
"vitiv.ai helped us structure our long-standing client work into clearer, SEO-oriented case studies."
"Concept to live fintech app in 6 weeks — full UI/UX design and n8n data pipelines delivered. The team worked with a speed and technical depth we had not seen from any agency before."
A recurring audit finding is a mismatch between traditional SEO work and machine-readable technical signals, such as crawler access and structured data. Fixing these gaps can improve the site's technical foundation, but outcomes and timing vary by platform and site.
If your audit score is below 80, here are the highest-impact fixes ranked by effort and impact:
User-agent: GPTBot, Allow: / and repeat for PerplexityBot, ClaudeBot, and Google-Extended. A single missing Allow directive blocks an entire AI platform from reading your site.vitiv.ai can help review and implement these technical improvements. Results and timelines depend on the site's starting point, scope, and the independent systems that crawl or rank it. Book a free consultation to discuss your specific audit results.
What is an AI Readiness Audit?
An AI Readiness Audit reviews observable signals such as structured data, semantic HTML, AI crawler accessibility, page speed, and llms.txt presence. These checks can identify technical conditions for review, but cannot predict whether an AI system will cite or recommend a business.
Is the audit really free? What's the catch?
There is no catch. The AI Readiness Audit is genuinely free — no credit card, no subscription, no catch. vitiv.ai offers it as a lead generation tool: if your score reveals gaps, you might hire us to fix them. But the audit itself is useful regardless, and you are under no obligation to do anything with the results.
How long does the audit take?
Most audits complete in 60–90 seconds. Larger websites or sites with slow server response times may take up to 3 minutes. The PageSpeed Insights API call is typically the slowest component. Once complete, you'll see your score and summary immediately — the PDF report is sent to your email within a few minutes.
Why is AI search visibility important in 2026?
AI-assisted discovery is one reason to review technical accessibility. Different systems crawl, index, and generate answers differently, and this audit cannot predict whether a page will be displayed or cited.
What is llms.txt and why does it matter?
llms.txt is a plain-text file at yoursite.com/llms.txt that can provide AI systems with a structured markdown overview of your content, key pages, and business context. It is an optional signal and does not guarantee accurate citations or inclusion in AI answers.
What is Generative Engine Optimization (GEO)?
GEO is the practice of making website content and structure easier for AI-powered systems to interpret. It can include JSON-LD, an optional llms.txt file, crawler access, entity-rich content, and semantic HTML; none guarantees that a system will surface or cite a website.
Does a high Google ranking mean a good AI Readiness Score?
Not necessarily. Traditional Google SEO and AI readiness overlap but are distinct. A website can rank well on Google while presenting technical barriers to some AI systems, for example blocked crawlers, missing structured data, or JavaScript-heavy rendering. The audit identifies such conditions without predicting how systems will respond.
What types of structured data matter most for AI visibility?
Useful schema types to review include Organization, Service or Product, FAQPage, Article/BlogPosting, and BreadcrumbList. Correct JSON-LD can help systems interpret page context, but it does not guarantee AI Overview inclusion, rankings, traffic, or citations.
How is the AI Readiness Score calculated?
The score is calculated across seven weighted dimensions: AI crawler accessibility (20%), structured data depth (20%), Core Web Vitals performance (20%), meta tag completeness (15%), llms.txt presence and compliance (10%), sitemap and robots.txt configuration (10%), and contact information discoverability (5%). Each dimension produces a sub-score combined into a single 0–100 composite score, with a full breakdown in the PDF report.
Can vitiv.ai fix a low AI Readiness Score for me?
vitiv.ai can review the findings with you and, where appropriate, help implement technical improvements such as structured data, crawler access, semantic HTML, and performance work. Scope and timelines vary; no service can guarantee inclusion, rankings, traffic, citations, or other outcomes.
Which AI search engines does the audit test for?
The audit checks robots.txt rules for GPTBot (OpenAI/ChatGPT), PerplexityBot, ClaudeBot (Anthropic/Claude), Google-Extended (Google Gemini), and Amazonbot. These are documented crawler identities; access rules do not predict whether a platform will crawl, index, or cite a page.
How quickly can I improve my score?
Implementation time depends on the site and its stack. Fixing crawler rules, metadata, structured data, or performance issues may require different amounts of work; any score change and downstream outcome should be measured rather than assumed.
Scroll up and enter your URL to get your AI Readiness Score in 60 seconds — or book a free consultation with vitiv.ai to discuss your results and a remediation plan.
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