Index › GTM › Products › AlphaSense › Alternatives · November 2026 Edition
Two categories · what the models named instead

Alternatives to AlphaSense, as AI models named them

In the November 2026 Edition, 405 of the 504 answers collected in the two categories where AlphaSense 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 405 answers that did not name AlphaSense, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Gane, the publisher, sells software in Competitive intel, where this product is measured. It is measured there by the same method as every other product. How the conflict is handled.

Market intelligence platforms

GTM data and infrastructure. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when AlphaSense is not its first choice or an alternative in it.
Small businessAlphaSense is #20 of 20 here at 0% of first choices, 32 labels.

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

16 more in the record.The full small business standing →
Mid-marketAlphaSense is #5 of 13 here at 6% of first choices, 43 labels.

Sixty-seven of the eighty-four answers did not name AlphaSense; it was the first choice in nine. The first choices in those sixty-seven answers, twenty products in all, the eight most named:

12 more in the record.The full mid-market standing →
EnterpriseAlphaSense is #1 of 18 here at 25% of first choices, 56 labels.

Forty-three of the eighty-four answers did not name AlphaSense; it was the first choice in twenty. The first choices in those forty-three answers, fifteen products in all, the eight most named:

7 more in the record.The full enterprise standing →

Competitive intelligence tools

Marketing. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when AlphaSense is not its first choice or an alternative in it.
Small businessAlphaSense is #15 of 15 here at 0% of first choices, 18 labels.

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

Kompyte33 of 82
Visualping13 of 82
Semrush9 of 82
Similarweb3 of 82
ClientCues2 of 82
Crayon2 of 82
16 more in the record.The full small business standing →
Mid-marketAlphaSense is #10 of 12 here at 0% of first choices, 20 labels.

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

Kompyte20 of 72
Crayon12 of 72
Klue12 of 72
Semrush2 of 72
Visualping2 of 72
Analook1 of 72
Owler1 of 72
1 more in the record.The full mid-market standing →
EnterpriseAlphaSense is #5 of 7 here at 0% of first choices, 39 labels.

Sixty of the eighty-four answers did not name AlphaSense; it was the first choice in zero. The first choices in those sixty answers, seven products in all:

Crayon22 of 60
Klue9 of 60
CompeteIQ3 of 60
Similarweb3 of 60
Contify2 of 60
Awingu1 of 60
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 AlphaSense 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 AlphaSense 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 AlphaSense's side.

The output is the models' output; nothing here is a recommendation by the index, and a product named instead of AlphaSense was named by a model, not endorsed by anyone.