Probing without search grounding strips out live web-search tools, forcing models like Gemini, GPT, and Claude to generate responses solely from internal neural network weights. This isolation allows the platform's ungrounded association probes (such as E2B and B2E runs) to measure baseline brand salience, training bias, and recall confidence without interference from live search results or retrieved web citations.