Two categories · what the models named insteadAlternatives to Figures, as AI models named them
In the October 2026 Edition, 465 of the 504 answers collected in the two categories where Figures holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.
Pay equity
Seventy-eight of the eighty-four answers did not name Figures; it was the first choice in three. The first choices in those seventy-eight answers, twenty-nine products in all, the eight most named:
Seventy-two of the eighty-four answers did not name Figures; it was the first choice in four. The first choices in those seventy-two answers, eighteen products in all, the eight most named:
Seventy-six of the eighty-four answers did not name Figures; it was the first choice in one. The first choices in those seventy-six answers, twelve products in all, the eight most named:
Compensation benchmarking data
Eighty-one of the eighty-four answers did not name Figures; it was the first choice in zero. The first choices in those eighty-one answers, thirty-four products in all, the eight most named:
Seventy-five of the eighty-four answers did not name Figures; it was the first choice in zero. The first choices in those seventy-five answers, twenty-three products in all, the eight most named:
Eighty-three of the eighty-four answers did not name Figures; it was the first choice in zero. The first choices in those eighty-three answers, twenty-two products in all, the eight most named:
How to read this
A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled Figures neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named Figures only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from Figures's side.
Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Figures was named by a model, not endorsed by anyone.