Schema.org markup spent most of its life as an SEO-only concern. You'd add Organization, Product, and FAQ markup and watch for rich results. Most teams treated it as a checklist item. For a deeper guide on schema for AI specifically, see our schema markup for AI guide.
But schema is now one structured input AI models can read about your business. The structured data you publish is, in many cases, the cleanest statement a model can find about who you are and what you sell.
Not all schema types are created equal in the AI era. Organization, Product, and FAQ are still essential, and SoftwareApplication, Service, and HowTo are worth adding where they fit. WebPage adds little that the page does not already say. For context on why your About page is now SEO infrastructure, the same entity-signal logic applies to your schema.
One addition worth making is sameAs links in your Organization schema, pointing at your Wikipedia, Crunchbase, LinkedIn, and GitHub presences. Entity disambiguation is hard for models. sameAs gives them an explicit list of your profiles to check against. Track whether your AI visibility score changes after these edits using Pondral's open scoring methodology.