Chapter 4: How AI Decides Who to Recommend
Chapter 4 says an AI system that assembles a recommendation draws on four foundations: digital signals, entity authority, topical relevance and online reputation.
Contents entry 7 of 17 in Recommended by AI.
What does this chapter argue?
Digital signals are the structured information that tells the system a business exists, and entity authority is how confidently it can tell that business apart. Topical relevance is how deeply the business is tied to its subject, and online reputation is what independent sources say about it. Weakness in one foundation caps the whole.
How does the chapter open and close?
Chapter 4 opens and closes with these lines, as the book prints them.
Before the rules, look inside the decision, because once you see how the machine chooses, every rule becomes obvious.
The five rules of the next five chapters build the four foundations deliberately, starting with the one everything else stands on.
Which terms does the chapter define?
This chapter defines five terms:
Where does it sit in the book?
It follows Chapter 3: What Is AEO? The Discipline of Being the Answer and leads into Chapter 5: Rule One: Be a Clear Entity.
