Read public material
The crawler reads the submitted public URL and a small set of public discovery files such as robots.txt, sitemap and llms.txt.
Method
How AI-Ready reads a website
AI-Ready is a public-page snapshot. It checks what AI systems can read, what evidence they can trust and which fixes should come first.
How it works
A bounded audit, not a mystery score.
Compare signals
The audit checks whether the site explains the business, services, contacts, policies and source evidence clearly enough.
Recommend next action
The report groups the most useful findings into a snapshot, limitations and practical next steps.
What we check
AI-Ready checks the public evidence an AI system can actually see.
Readable pages
Can the page be reached, read as text and understood without hidden context?
Site structure
Do headings, URLs, key pages and discovery files help AI find the important material?
Business clarity
Can the site explain what it does, who it serves and what action a visitor should take?
Source and trust signals
Are contacts, policies, authorship, source notes and correction paths visible?
AI-readable sources
Are public files or pages available for systems that need concise, cited context?
First fix
Which small set of changes would reduce guessing and make the site easier to explain?
AI-readiness vs SEO
SEO helps pages get found. AI-readiness helps evidence get understood.
SEO asks: can people find it?
SEO often focuses on search visibility, keywords, technical indexing and traffic. Those can matter, but they are not the whole problem.
AI-Ready asks: can AI explain it responsibly?
AI-readiness asks whether public evidence is clear enough for an AI system to read, cite, trust and explain without inventing missing facts.
How to read the score
The score is a snapshot of visible AI-readiness, not a business grade.
A higher score means the audit found stronger public readability, structure and trust signals. It does not certify quality, rankings, traffic, sales or inclusion in AI answers.
Look at the verdict first
The report summary explains what matters most before the numbers.
Use scores as navigation
Score areas point to where the site is thin, unclear or missing evidence.
Read limitations near the score
A shallow public audit cannot prove private facts, legal compliance or business performance.
Source and trust signals
Trust comes from public signals that reduce guessing.
AI-readable sources are public pages or files that summarize what the site is, what it offers and which claims are supported. They do not replace the website; they make the evidence easier to inspect.
robots.txt and sitemap
Discovery files show what can be crawled and where important pages live.
llms.txt and public source files
Concise public AI notes can describe services, policies, sources and answer boundaries.
schema.org
Structured data can help machines recognize organization, website and page context.
Human-verifiable signals
Contacts, policies, authorship and correction paths help separate evidence from unsupported claims.
Limits
What the audit cannot guarantee
No ranking or traffic promise
The audit does not guarantee search ranking, AI answer placement, traffic, sales or leads.
No legal, SEO or security audit
It is a public AI-readiness snapshot, not legal advice, full SEO analysis or vulnerability testing.
No private-source verification
The audit reads public material. It cannot verify private documents, internal data or claims that are not visible.
No deep crawl by default
The standard audit is intentionally shallow so it stays fast, safe and easy to interpret.
Why Fix Pack exists
The report explains the gaps. Fix Pack turns them into implementation work.
Many findings are simple to understand but still need careful writing, file drafts and developer-ready tasks. Fix Pack is the handoff layer after the audit.
Open Fix PackOwner summary
A short explanation of what changed and why it matters.
Developer brief
Concrete tasks for pages, metadata, source files and trust signals.
Draft AI-readable materials
Review-ready drafts for files or page sections that make public evidence clearer.
FAQ
Methodology questions
Does the audit judge my whole business?
No. It checks visible public evidence and explains what can be understood from that evidence.
Does a high score guarantee results?
No. Scores are useful for prioritizing fixes, but they do not guarantee ranking, traffic, sales or AI inclusion.
What sources does AI-Ready inspect?
Usually public pages, discovery files, schema.org, llms.txt if present, contact paths, policies and visible service explanations.
When do I need Fix Pack?
It turns findings into owner-facing notes, developer tasks and draft AI-readable materials for review.
AI-Ready
Ready to test the method on your site?
Start with one public URL. Use the report as a map for what AI can read and what deserves the first fix.