A brand AI baseline is a dated record of what AI platforms say about a brand under fixed questions. It should capture answer text, source links, mistakes, missing facts, competitors, and the next review date.
Why This Question Matters
Without a baseline, teams cannot tell whether a later answer improved, drifted, or simply changed because the question changed. A baseline keeps GEO work measurable.
Working Steps
Choose a small stable set of brand, category, comparison, and buying questions.
Run the same questions across selected AI platforms and save full answer evidence.
Mark correct facts, missing facts, wrong claims, cited sources, competitors, and follow-up tasks.
Expected Output
A dated baseline sheet with questions, platforms, answer summaries, evidence URLs, gaps, owners, and next review windows.
Common Mistakes
- Changing the question set every time.
- Recording only whether the brand appeared.
- Using one platform result as the whole market view.
Frequently Asked Questions
How many questions are enough to start?
Start with a focused set that covers major buying scenarios, then expand after the workflow is stable.
Does the baseline need daily testing?
Usually no. The cadence should match content changes and business priorities.
Can it prove GEO success?
It provides comparable evidence, but success still needs clearer answer quality, sources, and business context.
