Reasoning data in AI answers
Chapter 6
Continued from Fan-out queries
Reasoning data is the visible reasoning an AI model shows after gathering its sources, which records the criteria it applied when it preferred one brand to another.
Defined in Chapter 6: Campaign Research: The Five Datasets That Decide GEO and AEO Strategy of LLM Mastery: How AI Recommends Brands for LLM Domination.
The answer names the winners; the reasoning explains them.
What is reasoning data?
Reasoning data is the visible reasoning an AI model shows after gathering its sources, which records the criteria it applied when it preferred one brand to another.
Chapter 6 calls it 'the scoring rubric, published by the judge', and advises coding it into recurring themes that set the campaign's priorities.
Related terms: The five datasets, Test Test Test method and Recommendation pipeline.
Where does the book define reasoning data?
Chapter 6, Campaign Research: The Five Datasets That Decide GEO and AEO Strategy, defines it:
The reasoning shows the criteria the model actually applied: what it weighed, why it preferred one brand, where it doubted, what tipped the verdict.
Which other chapters use reasoning data?
Chapter 5: The Test Test Test Method uses reasoning data too.