GTM AI Index
Index Vendors PFL › Alternatives · September 2026 Edition
One category · what the models named instead

Alternatives to PFL, as AI models named them

In the September 2026 Edition, 179 of the 216 answers collected in the one category where PFL 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.

Named instead, most often
First choices in the 179 answers that did not name PFL, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

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Marketing. Six framings, twelve models, one answer each per buyer segment; an answer counts here when PFL is not its first choice or an alternative in it.
Small businessPFL holds 9 labels here, under the 10-label cutoff, so it is unranked.

Seventy-one of the seventy-two answers did not name PFL; it was the first choice in zero. The first choices in those seventy-one answers, fourteen products in all, the eight most named:

6 more in the record.The full small business standing →
Mid-marketPFL is #7 of 11 here at 4% of first choices, 23 labels.

Sixty of the seventy-two answers did not name PFL; it was the first choice in two. The first choices in those sixty answers, thirteen products in all, the eight most named:

5 more in the record.The full mid-market standing →
EnterprisePFL is #2 of 9 here at 16% of first choices, 31 labels.

Forty-eight of the seventy-two answers did not name PFL; it was the first choice in eight. The first choices in those forty-eight answers, twelve products in all, the eight most named:

4 more in the record.The full enterprise standing →

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 PFL 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 PFL 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 PFL'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 PFL was named by a model, not endorsed by anyone.