Can AI tell what you are?

Seven things on whatever page you give it, split by how much each one costs you. Required, because an engine cannot identify you without them: Organization; sameAs links; Meta description. Recommended, which sharpen what it can say about you once it has: Product or SoftwareApplication; FAQPage; BreadcrumbList; Canonical URL. Each one comes back with its own fix written out beside it when it is missing.

An engine deciding whether to name you has to work out what you are, what you sell, and whether two mentions of a similar name are the same company. Structured data answers those questions explicitly rather than leaving them to be inferred from prose, which is where ambiguity turns into being left out.

sameAs is a list of URLs pointing at your other profiles: LinkedIn, Crunchbase, GitHub, X. It is what consolidates scattered mentions into one entity. Without it, a company named in three places can be read as three weakly-known companies rather than one well-known one.

No. Google's tool checks eligibility for Google's own rich result formats. This checks the subset of schema.org that matters for being understood and named by AI assistants, and it flags what is missing along with what to add.

No. Structured data is a precondition, not an outcome. It makes you legible; whether an engine then recommends you depends on what it has read about you elsewhere. Any tool that implies otherwise is selling you a green tick.

In practice yes, though not because engines penalize it. A block that fails to parse is invisible, so you get nothing from it while believing it is working, and the missing markup never gets fixed. This tool counts unparseable blocks separately for that reason.