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Browse Free ToolsBecause AI/LLM testing is moving fast — and not always rigorously — AI search experts from The Community have come together to create a proposed standard when testing optimization tactics for AI/LLMs.
Special thanks to Tory Gray and Anne Berlin for leading the way on shaping this document. Co-authors and contributors include Shaun Davidson, Micah Fisher-Kirshner, and Joshua Squires.
This checklist exists because “I tested it and it worked” isn’t the same as a finding that we can trust, replicate, and build on. Before you publish results, work through these ten areas.
This is v1.0. It will get better with community input and more tests. Have one you’d like to share? Get in touch or share your findings in the #ai-llms channel.