The VisAI Agent-Ready Standard
Seven dimensions that define whether a brand is readable, understandable, and citable by AI agents.
- 01
Crawl Access
Why it matters
If AI crawlers cannot reach your key pages, you cannot be cited or recommended.
How it is scored
We check robots.txt and headers for important AI crawlers against your important pages.
Common issues
- robots.txt blocks AI crawlers
- Key pages return 403 to agents
- Rate limiting drops crawler requests
- 02
Renderability
Why it matters
If core content only appears after client-side JavaScript, many agents may not see it.
How it is scored
We compare server-rendered HTML against visible content on key pages.
Common issues
- Content injected only via JS
- Critical copy hidden behind interactions
- Empty HTML shells
- 03
Structured Data
Why it matters
Schema helps agents parse who you are, what you sell, and how you are rated.
How it is scored
We validate Organization, Product, FAQ, and Review schema.
Common issues
- Missing Organization schema
- Invalid Product schema
- No FAQ markup
- 04
Entity Clarity
Why it matters
Agents must understand your brand, product, audience, and differentiation to recommend you.
How it is scored
We assess how clearly your positioning, category, and audience are stated.
Common issues
- Vague category positioning
- No clear audience statement
- Differentiation buried in prose
- 05
Citation Assets
Why it matters
FAQ, comparison, case-study, and data pages are what answer engines quote.
How it is scored
We look for citable assets such as FAQs, comparison pages, customer stories, and original data.
Common issues
- No comparison pages
- Thin or missing FAQ
- No original data to cite
- 06
Trust Signals
Why it matters
Company, author, customer, and security signals raise how likely you are to be cited.
How it is scored
We check for company info, author identity, customer proof, reviews, and security/privacy signals.
Common issues
- No named authors
- Missing customer proof
- No security/privacy signals
- 07
Agent Profile
Why it matters
A machine-readable profile makes you easier for agents to consume.
How it is scored
We check for llms.txt, machine-readable summaries, and agent-friendly endpoints.
Common issues
- No llms.txt
- No machine-readable summary
- No agent-friendly endpoints
Official references