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Public AI search and internal knowledge are two systems

TL;DR: Key Takeaways

GEO is what public models and search may say about you. RAG is what staff may ask from approved sources.

  • The mix-up is expensive.
  • What they share is the entity: the same service names, exclusions and sites.
  • GlasBox keeps the offers apart.

GEO is what public models and search may say about you. RAG is what staff may ask from approved sources.

The mix-up is expensive. A well-cited website does not fix SharePoint chaos. A clean RAG with source-forcing does not replace a missing public service page.

What they share is the entity: the same service names, exclusions and sites. SOURCE/01 by GlasBox (Knowledge) checks whether that entity holds in public and whether it is fit for a later controlled answer layer - without building the RAG yet.

GlasBox keeps the offers apart. Mixing both in one workshop yields neither measurable visibility nor a safe knowledge system.

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GlasBox measures classic SEO and AI visibility separately. No ranking or mention guarantee. The free short check stays thin on purpose.

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Frequently Asked Questions

Is RAG the same as GEO?
No. GEO is public models and search. RAG is internal approved sources. The mix-up is expensive.
Does a cited website fix SharePoint chaos?
No. A well-cited website does not fix internal knowledge chaos. A clean RAG does not replace a missing public service page.
Does SOURCE/01 by GlasBox (Knowledge) build the RAG already?
No. It checks whether the public entity holds and whether it is fit for a later controlled answer layer.