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Most brand monitoring workflows test in logged-in, personalized sessions, so they measure what you want to see, not what users actually get. This video walks through a complete manual prompt testing workflow for LLM brand visibility: How to fan out your prompt set using Duane Forrester's query fan-out framework (The Machine Layer) How to run clean-session tests across ChatGPT, Claude, Perplexity, and Gemini How to scale it using our free Gradio app on Hugging Face Spaces. This is the complement to our AI visibility monitoring tools. Automated tools tell you trends, manual testing tells you why. RESOURCES: š§ Query Fan-Out Generator (Hugging Face Space): https://huggingface.co/spaces/ryanshelley/llm-brand-visibility š LLM Citation Monitoring Tools (previous video): https://www.youtube.com/watch?v=3xdVrCmy1N8&t=1019s š The Machine Layer by Duane Forrester: https://www.amazon.com/Machine-Layer-Visible-Trusted-Search/dp/B0G2WZKM59 š AI Search Visibility Tools post: https://www.smamarketing.net/blog/ai-search-visibility-tools