Documentation Index
Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
Use this file to discover all available pages before exploring further.
Methodology · Emerging
Definition
LLM probing is the practice of systematically querying a specific language model with a defined set of prompts to assess how the model represents a brand, topic, or category — extracting the model’s current “knowledge state” about a subject for diagnostic and optimization purposes.
Why It Matters for AI Search
LLM probing is a core research method for AI citation audits. By running a systematic battery of prompts — direct brand queries, category queries, competitor comparisons, and topic association queries — practitioners can map what a specific model knows and does not know about a brand, identify inaccuracies, and benchmark current AI representation before and after optimization interventions. Each model requires separate probing because their representations differ.
Relevant Plate Lunch Collective Services
Context Map AI Search Visibility Assessment
