Weights / knowledge probe without web search
How strongly a brand or product may already be embedded in model memory.
This module explains the difference between web search, RAG and actual model memory. In the free web version, the method is described and illustrated with examples only. A public free full test across many models would otherwise be expensive and abuse-prone.
For brand and product strategy it is particularly useful to know whether a model already knows the entity from training or has to reconstruct it from current web sources. This often influences how stable mentions are.
- method explanation and sample display
- clear explanation of the limits of public free tests
- bridge to the full version and local model fleet
- deep weights probing across small, medium and large models
- scores for memory, consensus and confusion risk
- comparison between cloud and local models
If you already checked a URL on the main page, CheckCom shows a live or demo evaluation for this exact module here. Without a previous check, a sample result is loaded automatically.
Need more data, real model tests and full reports?
The full version adds real multi-LLM tests, deeper SERP and competitor analysis, export formats, action plans and individual interpretation.