Why Schema.org Markup Matters for AI
Schema.org structured data is the primary mechanism through which websites communicate machine-readable information to AI systems. For businesses, the LocalBusiness and Organization schema types provide a standardised vocabulary for describing business identity, location, contact information, and credentials. AI systems that crawl the web use this markup to build their understanding of business entities.
The Minimum Viable Business Markup
The minimum viable Schema.org markup for a business includes: name, legalName, url, address (with streetAddress, addressLocality, addressRegion, postalCode, addressCountry), telephone, email, and identifier (for the business registration number). This markup should be included as a JSON-LD script tag in the head of every page on the business website.
Adding the AI Verified Identity Hash
AI Verified provides a custom identifier value that can be added to your Schema.org markup. This identifier links your website markup to your AI Verified passport, creating a cryptographic chain of trust from your website to your national business registry record. The identifier is included in your AI Verified dashboard and should be added to the identifier array in your Schema.org markup.
Common Markup Mistakes to Avoid
The most common Schema.org markup mistakes include: using the wrong schema type (e.g., Person instead of Organization), omitting the legalName field, using inconsistent address formats, and failing to include the business registration number in the identifier field. AI Verified's Schema.org generator produces error-free markup that avoids all of these mistakes.