GTM AI Index
Index Vendors › Stonly · September 2026 Edition
2 categories · Named, not ranked

Stonly

15Judge labels
0First choices
0Negative labels
8 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Stonly was named 9 times in Knowledge base and 1 other category, where Notion led with 18%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In knowledge base · 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 Stonly 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
Knowledge base and self-serviceCustomer0%24 of 960%8under 10 labels · led by Notion at 18%
Digital adoption and onboardingCustomer0%41 of 580%1under 10 labels · led by Userpilot at 29%

Movement

This is the first edition on this tier, so no move can be computed for Stonly 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 Stonly across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501102
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX02204
MiniMax M2.501001

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 labelsNone
Paraphrase2 labelsNone
Comparative8 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative0 labelsNone
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 0 of the 0 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.

“best for mid-market and enterprise customer service teams that need a knowledge platform that works equally well for support agents and customers” Claude Haiku 4.5 · Knowledge base · direct prompt · alternative
“Excellent knowledge base + onboarding integration (8.5/10)” GLM 4.7 FlashX · Digital adoption · paraphrase prompt · alternative
“⚡ Best for High-Volume Support: Stonly” GLM 4.7 FlashX · Knowledge base · comparative prompt · alternative
“High-volume customer service teams” MiniMax M2.5 · Knowledge base · comparative 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 Stonly, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Stonly was named but was not.
ProductSame answerTook the first choice insteadHead to head
Document36014 of 151Not in the top three
Confluence12 of 150Not in the top three
Guru12 of 150Not in the top three
Notion11 of 151Not in the top three
Slite9 of 151Not in the top three
Bloomfire8 of 150Not in the top three
Nuclino7 of 151Not in the top three
Tettra7 of 150Not in the top three
Zendesk7 of 150Not in the top three
Plain6 of 152Not 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 Stonly. 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 3 of the 15 answers that named Stonly and are not a share of its labels.

Domains cited

assembly.com3
slite.com3
zendesk.com3
egain.com2
learn.g2.com2
monday.com2
text.com2
atlan.com1
bloomfire.com1
brewsterconsulting.io1

Twenty of the twenty domain citations in answers naming Stonly 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 Stonly'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 Stonly, 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 stonly.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.