GTM AI Index

Index › Vendors › Coldread · September 2026 Edition

1 category · Named, not ranked

Coldread

3Judge labels

1First choices

0Negative labels

3 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Coldread was named 3 times in Conversation intel, where Avoma led with 52%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market7 of 93

under the label threshold

Enterprisenot named

No model named it for this buyer.

In conversation intel · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Coldread for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Conversational intelligence and call recording	Sales	2%	7 of 93	0%	3	under 10 labels · led by Avoma at 52%

Movement

This is the first edition on this tier, so no move can be computed for Coldread yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Coldread across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	1	1
Qwen 3.7 Flash	0	0	0
Kimi K2	0	1	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	1	0	1

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained3 labels1

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative3 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Coldread (if phone calls are primary)” MiniMax M2.5 · Conversation intel · budget prompt · first choice

“Coldread is the only sub-$100 option with real phone call intelligence.” Kimi K2 · Conversation intel · budget prompt · alternative

“Other options include Coldread, Fireflies, Notta, and tl;dv” Llama 4 Maverick · Conversation intel · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Coldread, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Coldread was named but was not.

ProductSame answerTook the first choice insteadHead to head

Fireflies.ai3 of 31Not in the top three

tl;dv3 of 30Not in the top three

Avoma2 of 31Not in the top three

Notta2 of 30Not in the top three

Convo1 of 30Not in the top three

Fathom1 of 30Not in the top three

Gong1 of 30Not in the top three

Grain1 of 30Not in the top three

Otter.ai1 of 30Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Coldread's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Coldread, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at coldread.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.