Free Tool by vitiv.ai

Free AI Readiness Audit for Your Website

Enter your URL above and get a complete analysis of how visible your website is to ChatGPT, Perplexity, Google AI Overviews, and Claude — with a scored report covering seven critical AI discoverability dimensions, downloadable as a PDF.

The Audit

What the AI Readiness Audit Checks

Most website audits are built for Google's 2019 algorithm. This audit is built for 2026 — where ChatGPT, Perplexity, and Google AI Overviews decide which businesses get recommended to millions of searchers. Seven dimensions, each scored and weighted:

Weight: 20%

AI Crawler Accessibility

Checks whether your robots.txt explicitly permits GPTBot (ChatGPT), PerplexityBot, ClaudeBot (Claude), Google-Extended (Gemini), and Amazonbot — the five crawlers whose access directly determines whether AI systems can read and recommend your site.

Weight: 20%

Structured Data Depth

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 knowledge graph coherence. Websites with deep, correct schema are 2.4× more likely to be cited by AI systems.

Weight: 20%

Core Web Vitals & PageSpeed

Pulls real-field data from Google's PageSpeed Insights API — LCP, FID/INP, CLS, and overall Performance score for both mobile and desktop. Slow pages get deprioritized by AI systems that factor in user experience signals as a quality proxy.

Weight: 15%

Meta Tags & Open Graph

Checks title tag length and keyword alignment, meta description completeness, Open Graph (og:title, og:description, og:image), Twitter Card meta, and canonical URL implementation. These signals tell AI systems what each page is about before rendering any content.

Weight: 10%

llms.txt Presence & Compliance

Checks whether your site serves a valid /llms.txt file (and optionally /llms-full.txt). llms.txt provides AI systems with a structured, markdown-formatted overview of your site's content and purpose — increasing citation accuracy and discoverability in AI-powered search significantly.

Weight: 10%

Sitemap & robots.txt

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 sitemaps cause AI crawlers to miss large portions of your site entirely.

Weight: 5%

Contact Information Discoverability

Checks whether AI systems can extract your business name, phone number, email address, and physical location from structured data and visible page content. Businesses that AI can contact and verify are significantly more likely to be cited in local and industry-specific AI search results.

The Stakes

Why AI Search Visibility Matters in 2026

The way people discover businesses is changing faster than most companies realize. These are not projections — they are data points from 2025 that are accelerating in 2026:

  • AI-referred web sessions grew 527% year-over-year in 2025 (Semrush data). The growth rate is accelerating, not plateauing.
  • Over 65% of Google searches now end without a click — AI Overviews answer the query directly in the results page. If your business is not cited in those overviews, you are invisible at the top of the funnel.
  • ChatGPT handles over 1 billion messages per day. A significant portion involve users asking for business recommendations, product comparisons, and service provider suggestions. The businesses ChatGPT recommends are the ones with proper structured data, AI crawler access, and authoritative content.
  • Perplexity reached 100 million monthly active users in early 2026. Its answer engine pulls citations from indexed, structured, accessible websites — and skips the rest entirely.
  • B2B buyers increasingly use AI for vendor research. A 2025 survey found 68% of B2B decision-makers had used an AI assistant to research a vendor before contacting them. The vendor AI recommended got the first conversation.

Traditional SEO optimized your website to rank on page one of Google. AI readiness optimization ensures your business appears in AI-generated answers, summaries, and recommendations — the new page one of a world where AI mediates discovery.

The Process

How the AI Readiness Audit Works

The entire audit takes 60–90 seconds to complete. Here is what happens when you enter your URL:

  1. URL submission & live fetch: The audit fetches your website's HTML directly — the same way an AI crawler would. It captures the raw server response, including all head metadata, JSON-LD blocks, robots.txt, and sitemap references.
  2. Seven-dimension analysis: Each of the seven audit dimensions runs simultaneously against your site's data. The AI crawler check calls your robots.txt directly. The PageSpeed check pulls from Google's PageSpeed Insights API for real field data — not a simulated estimate.
  3. Score calculation & report generation: Each dimension produces a sub-score (0–100) which is combined using the weighted formula to produce your overall AI Readiness Score. A detailed breakdown explains each finding and what it means for your AI discoverability.
  4. PDF report delivery: Enter your email to receive the full PDF report — a structured document you can share with your development team or agency with specific, actionable recommendations for every gap found.

No account required. No recurring email. Just a useful report based on real analysis of your actual website.

Score Guide

Understanding Your AI Readiness Score

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:

80–100
AI-Ready

Strong AI crawler access, deep structured data, solid performance, and llms.txt present. Minor improvements possible but no critical gaps.

60–79
Partially Visible

Some AI discoverability, but important gaps — likely missing structured data, blocked crawlers, or no llms.txt — limiting how often AI systems recommend you.

40–59
Mostly Hidden

AI systems either cannot access your site or cannot understand what it offers. You are missing the majority of AI-referred traffic available to your business.

0–39
Not Discoverable

Critical structural issues: AI crawlers are blocked, structured data is absent, performance is severely poor, or the site is unindexable. Requires significant remediation.

Real Results

What Clients Achieved After Fixing Their AI Readiness

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 entire digital presence in 25 days. Our AI search visibility tripled in 60 days and lead response time dropped by 70% thanks to the chatbot and CRM they built. Exceptional speed and quality."

Maruti Hydraulics — Construction Machinery, India
★★★★★   AI search visibility: 3× in 60 days

"We had 35 years of client wins that were invisible online. vitiv.ai structured everything into SEO-optimised case studies and implemented a full GEO strategy. Organic traffic grew 4× after launch."

Dynamic Enterprises Bharat — B2B Trading, India
★★★★★   Organic traffic: 4× growth

"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."

Sinder — Fintech, Dubai UAE
★★★★★   6 weeks concept to launch

The most common finding across audits: businesses rank on traditional Google search but score under 40 on AI readiness — because their robots.txt blocks AI crawlers, they have no structured data, and their content is not structured in a way AI systems can parse. Fixing these gaps typically produces visible results within 30–60 days.

Fix Guide

How to Fix a Low AI Readiness Score

If your audit score is below 80, here are the highest-impact fixes ranked by effort and impact:

Quick wins (same day, high impact)

  • Allow AI crawlers in robots.txt: Add 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.
  • Create llms.txt: Place a plain-text file at /llms.txt summarizing your site's purpose, key pages, and business context in markdown format. This is the highest-signal gesture you can make to AI crawlers that your site is AI-ready.
  • Fix broken meta tags: Missing og:image, oversized title tags (>60 chars), and duplicate descriptions are quick to fix and immediately improve how AI systems represent your pages in citations.

Medium effort (1–3 days, critical for AI citation)

  • Add Organization JSON-LD schema: A properly structured Organization schema with name, URL, logo, address, telephone, email, and sameAs links tells AI systems exactly who you are. Without it, AI systems have to guess — and often get it wrong or skip you.
  • Add FAQPage schema: FAQ schema is 3.2× more likely to appear in Google AI Overviews. Convert your existing FAQ content to proper JSON-LD Question/Answer pairs. This is the single highest-leverage schema type for AI discoverability.
  • Add BreadcrumbList to all pages: Helps AI systems understand your site structure and which pages are authoritative vs. supplementary.

Larger work (1–4 weeks, but worth it)

  • Implement llms-full.txt: A comprehensive markdown document covering every service, case study, blog post, and team member — structured for LLM consumption. Perplexity and Claude actively crawl this file on sites that serve it.
  • Improve Core Web Vitals: LCP above 2.5s and CLS above 0.1 hurt AI citation probability because these signals are used as quality proxies. Image optimization, layout stability, and server response time are the three levers.
  • Add Service and Article schemas: Service schema for every offering page, with features, pricing signals, and area served. Article/BlogPosting schema for every content piece, with author, datePublished, and keywords.

vitiv.ai implements all of these as part of every AI-ready website engagement, typically bringing sites from under 40 to above 85 within 3–4 weeks of implementation. Book a free consultation to discuss your specific audit results.

FAQ

Frequently Asked Questions

What is an AI Readiness Audit?

An AI Readiness Audit evaluates how well your website can be discovered, understood, and recommended by AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews. It checks for structured data, semantic HTML, AI crawler accessibility, page speed, llms.txt presence, and other signals that influence whether AI systems cite and recommend your business. Unlike a traditional SEO audit, it focuses specifically on the factors that determine AI discoverability.

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-referred web sessions grew 527% year-over-year in 2025. Over 65% of Google searches now end with a zero-click result as AI Overviews answer queries directly. ChatGPT handles over 1 billion messages per day, Perplexity reached 100 million monthly active users, and B2B buyers increasingly use AI assistants to research vendors before contacting them. Businesses invisible to AI systems are missing an increasingly dominant discovery channel.

What is llms.txt and why does it matter?

llms.txt is a plain-text file at yoursite.com/llms.txt that tells AI systems how to understand and navigate your site. Similar to robots.txt for web crawlers, llms.txt provides a structured markdown overview of your content, key pages, and business context optimized for large language models. Websites with a valid llms.txt are significantly more likely to be accurately cited by ChatGPT, Perplexity, and Claude.

What is Generative Engine Optimization (GEO)?

GEO is the practice of optimizing your website so AI-powered search engines accurately understand, recommend, and cite your business. It involves implementing JSON-LD structured data, creating llms.txt, ensuring AI crawler accessibility in robots.txt, building entity-rich content with clear facts AI can extract, and optimizing semantic HTML — all signals that influence whether ChatGPT, Perplexity, and Google AI Overviews surface your website in their responses.

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 being invisible to AI systems — if it blocks AI crawlers in robots.txt, lacks structured data, has no llms.txt, or uses JavaScript-heavy rendering that AI systems cannot parse. Many well-ranking sites score under 40 on AI readiness because they were optimized for pre-AI search algorithms, not for LLM-based discovery.

What types of structured data matter most for AI visibility?

The most impactful schema types for AI search visibility are: Organization (who you are, contact details, location); Service or Product (your offerings with pricing signals and features); FAQPage (3.2× more likely in Google AI Overviews); Article/BlogPosting with author and datePublished (2.4× more citations from Perplexity and ChatGPT); and BreadcrumbList for navigation context. All should be implemented as JSON-LD in the page head.

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?

Yes. vitiv.ai's core service is building and optimizing websites for AI search discoverability. After reviewing your free audit, you can book a consultation to go through the results together. vitiv.ai implements all required fixes — structured data, llms.txt, AI crawler access, semantic HTML, Core Web Vitals, and full GEO strategy — typically delivering a fully AI-ready website in 2–6 weeks. Clients average 3× improvement in AI search visibility within 60 days.

Which AI search engines does the audit test for?

The audit specifically checks for GPTBot (OpenAI/ChatGPT), PerplexityBot (Perplexity AI), ClaudeBot (Anthropic/Claude), Google-Extended (Google Gemini and AI Overviews), and Amazonbot (Amazon Alexa and AWS AI services). These five crawlers collectively power the AI search engines that handle the vast majority of AI-referred web traffic in 2026.

How quickly can I improve my score?

Some improvements are immediate: allowing AI crawlers in robots.txt, creating a basic llms.txt, and fixing missing meta tags can be done in a day. JSON-LD structured data typically takes 1–3 days to implement properly. Core Web Vitals improvements may take 1–3 weeks. vitiv.ai typically delivers a fully AI-ready website with all GEO optimizations in 2–4 weeks, moving sites from scores below 40 to above 85.

Free — No Account Needed

See exactly where your website stands with AI search engines

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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