TL;DR
- An AI readiness audit checks whether AI assistants and agents can find, read, and trust the facts on your website.
- The free scan above covers eight checks across discovery, data structure, and page weight, and returns a score out of 100.
- Most sites fail on the same few items: no llms.txt, missing structured data, and pages too heavy for an agent to parse cheaply.
What is an AI readiness audit?
A classic SEO audit asks whether Google can crawl and rank your pages. An AI readiness audit asks a different question: when ChatGPT, Claude, Gemini, Perplexity, or an autonomous agent researches your business, can it assemble an accurate answer from what you publish?
Assistants do not browse the way people do. They fetch a handful of pages under a strict time and token budget, extract facts, and move on. If your services, pricing, location, and policies are buried in images, PDFs, or JavaScript, the model either guesses or recommends someone easier to read. The audit measures how much of that friction your site creates.
The 8 checks in this audit
AI discovery. First, an AI Website Profile at /llms.txt: the single strongest signal, and the scan grades its quality, not just its presence. Second, agent instructions in agents.md, an optional emerging standard for agents that act on your behalf. Third, a sitemap.xml so crawlers can find every page. Fourth, AI bot rules in robots.txt, because blocking GPTBot or ClaudeBot turns assistants away before they read a word.
Data structure. Fifth, a meta description that summarizes the page in one sentence. Sixth, JSON-LD structured data that states your organization, services, and FAQs as machine-readable facts. Seventh, Open Graph tags, which many AI tools read when they preview or cite a link.
Efficiency. Eighth, homepage weight. Agents pay for every token they process. A homepage that ships megabytes of markup to deliver a few paragraphs of facts is expensive to read, and cheaper competitors get read first.
How to audit your website for AI readiness in 5 steps
Step 1: Run the scan. Enter your root domain above. It takes a few seconds and returns a score out of 100 with a pass, warning, or fail on each check.
Step 2: Fix discovery first. A missing llms.txt or a robots.txt that blocks AI crawlers stops everything downstream, so these outrank every other fix. Confirm that /sitemap.xml returns a 200 and lists your real, canonical URLs.
Step 3: Put key facts in plain HTML. Services, service area, hours, pricing or honest price ranges, and contact details should be readable text on the page, not only in hero images or PDF downloads.
Step 4: Add structured data. Organization, Service or Product, and FAQPage markup in JSON-LD let assistants quote facts without guessing. Keep the markup in step with visible content.
Step 5: Re-scan and keep going. Once the automated checks pass, work through the manual items in our full AI readiness checklist: Google Business Profile consistency, PDF traps, and FAQ coverage.
What your score means
Most business websites score below 40 on their first scan. That is not a sign of a bad website; it means the site was built for one audience, people, and a second audience, AI agents, now visits too. Scores of 40 to 70 usually mean discovery is in place but facts are hard to extract. Above 70, agents can find and read you; the remaining gains come from the quality of your llms.txt.
The fastest single improvement is almost always a well-structured AI Website Profile. It gives assistants one short, canonical brief of your business instead of forcing them to reverse-engineer it from your marketing pages.
Frequently asked questions
Is this AI readiness audit really free?
Yes. The scan is free, needs no signup or credit card, and you can run it on any public domain, including competitors.
How do I know if my website is ready for AI agents?
Run the scan above. A site is ready when AI crawlers are allowed in robots.txt, a sitemap and llms.txt are published, key facts are in plain HTML with structured data, and pages are light enough to parse cheaply.
What is the difference between an AI readiness audit and an SEO audit?
An SEO audit checks whether search engines can crawl and rank your pages. An AI readiness audit checks whether assistants can extract accurate facts about your business and cite them. You need both; they overlap on crawlability and structured data.
How often should I re-run an AI readiness audit?
After any site redesign, CMS migration, or robots.txt change, and otherwise every quarter. AI crawlers and standards change quickly, and a single plugin update can block a bot or strip your structured data.
Can I fix the issues myself?
Most of them, yes. Sitemaps, robots.txt rules, meta descriptions, and Open Graph tags are settings in most CMSs. The llms.txt profile is the hardest to write well; Platinum.ai builds a production-ready one for your industry, starting at $99.
Turn your score into an AI-readable profile
The biggest jump in AI readiness comes from a well-structured llms.txt. Platinum.ai builds your AI Website Profile from what you already publish, ready to upload, starting at $99.