AI Indexes
GTM AI Index
Index › Products › WhatConverts › Alternatives · October 2026 Edition
One category · what the models named instead

Alternatives to WhatConverts, as AI models named them

In the October 2026 Edition, 178 of the 252 answers collected in the one category where WhatConverts 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 178 answers that did not name WhatConverts, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Call tracking platforms

Marketing. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when WhatConverts is not its first choice or an alternative in it.
Small businessWhatConverts is #2 of 9 here at 8% of first choices, 42 labels.

Forty-seven of the eighty-four answers did not name WhatConverts; it was the first choice in seven. The first choices in those forty-seven answers, seven products in all:

The full small business standing →
Mid-marketWhatConverts is #3 of 9 here at 7% of first choices, 40 labels.

Forty-eight of the eighty-four answers did not name WhatConverts; it was the first choice in seven. The first choices in those forty-eight answers, eight products in all:

The full mid-market standing →
EnterpriseWhatConverts is #7 of 7 here at 0% of first choices, 11 labels.

Eighty-three of the eighty-four answers did not name WhatConverts; it was the first choice in zero. The first choices in those eighty-three answers, thirteen products in all, the eight most named:

5 more in the record.The full enterprise standing →

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