Two categories · what the models named insteadAlternatives to Heap, as AI models named them
In the September 2026 Edition, 367 of the 432 answers collected in the two categories where Heap 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.
Product analytics
Fifty-five of the seventy-two answers did not name Heap; it was the first choice in two. The first choices in those fifty-five answers, six products in all:
The full small business standing →
Fifty-four of the seventy-two answers did not name Heap; it was the first choice in zero. The first choices in those fifty-four answers, ten products in all, the eight most named:
Fifty-six of the seventy-two answers did not name Heap; it was the first choice in one. The first choices in those fifty-six answers, eight products in all:
Customer intelligence and data science
Sixty-four of the seventy-two answers did not name Heap; it was the first choice in zero. The first choices in those sixty-four answers, nineteen products in all, the eight most named:
Sixty-eight of the seventy-two answers did not name Heap; it was the first choice in zero. The first choices in those sixty-eight answers, thirty-one products in all, the eight most named:
Seventy of the seventy-two answers did not name Heap; it was the first choice in zero. The first choices in those seventy answers, twenty-six products in all, the eight most named:
How to read this
A category is asked six ways of each of twelve models on behalf of each buyer segment, so a segment is seventy-two answers. An answer belongs on this page when the judge labeled Heap 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 Heap 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 Heap's side.
Every answer and every label is in the free record. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of Heap was named by a model, not endorsed by anyone.