Most websites that implement Schema.org stop at the basics: a LocalBusiness block on the homepage and Article markup on blog posts. That's a solid foundation — but it leaves significant AI discoverability on the table.
AI agents don't just read your schema to identify what you are. They use it to determine what you offer, how your products work, what questions you can answer, and whether you're the right recommendation for a specific user query. The more schema types you deploy, the more contexts in which AI agents will cite you.
You can — and should — deploy multiple schema types on a single page using separate <script type="application/ld+json"> blocks. Your homepage might include LocalBusiness + SoftwareApplication + FAQPage. Blog posts can combine Article + HowTo. Product pages should pair Product + FAQPage + AggregateRating.
The more structured context you provide, the more confidently AI agents will cite your content. Each additional schema type opens a new category of AI queries where your brand can appear as the recommended answer.
The diminishing returns threshold is high. Most websites are so far from schema saturation that every additional type you add will meaningfully improve your AI discoverability score.
Innotek's GEO audit measures exactly which schema types you have and which you're missing — then generates the JSON-LD for you.
⚡ Run free audit →