Two categories · what the models named insteadAlternatives to Fiverr, as AI models named them
In the October 2026 Edition, 467 of the 504 answers collected in the two categories where Fiverr 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.
Internal talent marketplace
Seventy-two of the eighty-four answers did not name Fiverr; it was the first choice in three. The first choices in those seventy-two answers, twenty-seven products in all, the eight most named:
Eighty-one of the eighty-four answers did not name Fiverr; it was the first choice in zero. The first choices in those eighty-one answers, seventeen products in all, the eight most named:
Eighty-four of the eighty-four answers did not name Fiverr; it was the first choice in zero. The first choices in those eighty-four answers, thirteen products in all, the eight most named:
Contingent workforce management
Seventy-four of the eighty-four answers did not name Fiverr; it was the first choice in five. The first choices in those seventy-four answers, twenty-two products in all, the eight most named:
Seventy-eight of the eighty-four answers did not name Fiverr; it was the first choice in zero. The first choices in those seventy-eight answers, eighteen products in all, the eight most named:
Seventy-eight of the eighty-four answers did not name Fiverr; it was the first choice in one. The first choices in those seventy-eight answers, twelve 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 Fiverr 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 Fiverr 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 Fiverr'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 Fiverr was named by a model, not endorsed by anyone.