Applied AI Search Visibility Science should be visible in the copy and in the data. These public datasets expose the semantic layer behind AI Symantix in a format humans can inspect and machines can reuse.

Intentional public data

These JSON and markdown files are intentionally public. They are meant to support discovery, validation, AI retrieval, and reuse.

Featured datasets

Catalog

AI Content Catalog

A machine-readable catalog of pages, glossary terms, articles, and related AI-facing resources published by AI Symantix.

Endpoint /ai/catalog.json

What you can do with them

  • Review definitions and related terms in a single reusable dataset
  • Trace canonical glossary URLs for internal linking, citation, and entity mapping
  • Inspect how AI Symantix structures machine-readable content for AI systems
  • Use the catalog as a starting index for deeper semantic SEO research

Make your own and study SEO examples

If you want to experiment with making your own datasets, use DatasetsMaker. If you want to see how datasets can support SEO and marketing strategy, study DatasetSEO.

DatasetsMaker.com helps you experiment with creating your own datasets. DatasetSEO.com shows how datasets can be used in SEO marketing.

Raw source files

The aggregate dataset is the easiest starting point, but the underlying glossary JSON files also remain public by design. That keeps the source layer transparent and reusable.

View a raw glossary term JSON file or browse the Glossary for the human-facing version.

Need this kind of semantic dataset on your own site?

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