GTM AI Index
Index Vendors › Stripe · September 2026 Edition
1 category · Named, not ranked

Stripe

7Judge labels
0First choices
5Negative labels
6 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
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Stripe was named 4 times in Billing, where Chargebee led with 58%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In billing · 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 Stripe 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
Billing and subscription managementRevenue operations0%57 of 5775%4under 10 labels · led by Chargebee at 58%

Movement

This is the first edition on this tier, so no move can be computed for Stripe 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 Stripe across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.500101

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained1 labelNone
Scale-constrained1 labelNone
Negative4 labelsNone
First choiceAlternativeMentionNegative7 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.

No positive label carried a quote.

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.

“High-Risk Platforms (Avoid if Possible): Stripe Billing/Stripe: Highest risk score (91/100 on SaaS Flags)” Grok 4.1 Fast · Billing · negative prompt · hard negative
“Stripe - Risk Score: 91/100 (Severe) ... Account freezes, held funds, and abrupt terminations” GLM 4.7 FlashX · Billing · negative prompt · hard negative
“Stripe (use with caution) - Highest documented complaint volume” Qwen 3.7 Flash · Billing · negative prompt · soft negative

Named alongside

The products named in the same answers as Stripe, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Stripe was named but was not.
ProductSame answerTook the first choice insteadHead to head
Chargebee6 of 73Not in the top three
Zuora5 of 71Not in the top three
Recurly4 of 72Not in the top three
Paddle4 of 70Not in the top three
Stripe Billing3 of 70Not in the top three
HubSpot1 of 71Not in the top three
Recharge1 of 71Not in the top three
Stax Bill1 of 71Not in the top three
Apollo.io1 of 70Not in the top three
Baremetrics1 of 70Not 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 Stripe. 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 1 of the 7 answers that named Stripe and are not a share of its labels.

Names read as Stripe

What the judge wrote, as written, with how often. The vendor table decides that these count as Stripe; a claim can dispute any of them.
Stripe Billing/Stripe 1

The company

Stripe.
Website
stripe.com
Headquarters
San Francisco, Ireland
Founded
2010
Employees
about 8,000 (2022)
Ownership
Part of Q140991293

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase

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 Stripe'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 Stripe, 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 stripe.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.