GTM AI Index
Index Vendors › Canny · September 2026 Edition
1 category · Ranked

Canny

35Judge labels
1First choices
4Negative labels
10 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.
Best standing
2% in Feedback for mid-market buyers
Rank 11 of 104 in the mid-market standingaccepted challenger
1 of 12 models made it the first choice on the direct prompt; 0% of its 15 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In feedback · 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 Canny 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Customer feedback and surveysCustomer2%11 of 1040%15accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Canny 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 Canny across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500101
GPT-5.4 mini00000
Gemini 3.5 Flash02002
Perplexity Sonar01102
Grok 4.1 Fast00000
Mistral Small01102
DeepSeek V4 Flash02103
Llama 4 Maverick01001
Qwen 3.7 Flash00101
Kimi K202002
GLM 4.7 FlashX10001
MiniMax M2.500000

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
Direct4 labels1
Paraphrase0 labelsNone
Comparative10 labelsNone
Budget-constrained7 labelsNone
Scale-constrained8 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative35 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.

“For most mid-market B2B companies, Canny offers the best balance of features, pricing, and ease of use.” GLM 4.7 FlashX · Feedback · direct prompt · first choice
“Bridges feedback directly to product roadmap prioritization with revenue impact data” Kimi K2 · Feedback · comparative prompt · alternative
“Public feature requests & roadmap \u2192 Canny / Productboard / UserVoice” DeepSeek V4 Flash · Feedback · comparative prompt · alternative
“Choose Canny if your main need is feature requests and user voting” Perplexity Sonar · Feedback · 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 Canny, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Canny was named but was not.
ProductSame answerTook the first choice insteadHead to head
Typeform28 of 355Not in the top three
SurveyMonkey26 of 353Not in the top three
Survicate22 of 356Not in the top three
Qualtrics22 of 355Not in the top three
Google Forms20 of 356Not in the top three
Medallia17 of 351Not in the top three
Hotjar16 of 351Not in the top three
Jotform13 of 352Not in the top three
UserVoice12 of 350Not in the top three
Delighted11 of 350Not 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.

What carried it into the answer

The sites and pages cited by the answers that named Canny. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 6 of the 35 answers that named Canny and are not a share of its labels.

Domains cited

guideflow.com5
typeform.com5
softwaretestinghelp.com4
zonkafeedback.com4
blog.hubspot.com3
featurebase.app3
featureupvote.com3
greatquestion.co3
proprofssurvey.com3
qualaroo.com3

Thirty-six of the thirty-six domain citations in answers naming Canny came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

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 Canny'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 Canny, 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 canny.io 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.