Documentation Index
Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
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AI Search Visibility Assessment
An AI Search Visibility Assessment is a structured review of what AI systems currently know about a brand: what they say, what they get wrong, and what signals are producing those outcomes.
Most brands have no documented record of how AI systems describe them. The assessment creates that record and identifies the specific gaps and errors that are affecting citation rates.
How It Works
The assessment queries major AI platforms, including ChatGPT, Perplexity, Claude, Gemini, and others, with the questions a brand’s customers are most likely to ask. It documents the responses, identifies where the brand appears and where it does not, and analyzes the entity signals, structured data, and content factors that are producing current outcomes.
The output is a written report with findings and a prioritized set of recommendations for closing the gaps identified.
When You Need It
An AI Search Visibility Assessment is the right starting point for brands that want to understand their current position in AI search before committing to execution work. It is also useful for brands that have completed an engagement and want to measure what changed.
Work with Plate Lunch Collective on an AI Search Visibility Assessment
