Brand Knowledge Base — let AI cite only facts you verified | SEO-GEO
Store company material as structured, traceable fact units. Drafts cite the library; anything missing is marked "[to be verified]" instead of invented.
The most common AI failure in company copy is confidently filling in specs, credentials, pricing and service scope. The model has no internal material, so it smooths over gaps with plausible numbers.
What can you check or produce?
- Batch-crawl your site and doc URLs into structured fact units
- Import by pasting text or uploading text files (.txt/.md/.csv/.json)
- Every fact carries a source link, excerpt, as-of date and effective window
- One-click copy of the fact-source block into the article generator
- Health score: sourcing rate, dated rate, verified count, staleness alerts
How should you interpret results and choose the next action?
The most common AI failure in company copy is confidently filling in specs, credentials, pricing and service scope. The model has no internal material, so it smooths over gaps with plausible numbers. The knowledge base moves that decision upstream: material becomes traceable fact units first, then writing may only cite those units and must flag anything else as unverified. Imported facts start as drafts until a human verifies them, and anything older than 18 months is flagged for a refresh.
Frequently asked questions
Does it use AI credits?
Import runs one extraction pass; searching, editing and building the injection block are deterministic and cost nothing.
Will it guess data?
No. Extraction keeps only what appears verbatim in the material; undated facts stay undated and unsourced entries are flagged.
Is data isolated?
Yes. Each account only sees and manages its own fact units.
By the 23SEOGEO team · Last updated: