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

OnceHub

19Judge labels
0First choices
5Negative labels
9 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
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. OnceHub was named 7 times in Scheduling, where Calendly led with 59%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In scheduling · 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 OnceHub 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
Meeting schedulingSales0%17 of 7714%7under 10 labels · led by Calendly at 59%

Movement

This is the first edition on this tier, so no move can be computed for OnceHub 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 OnceHub across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini01001
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00112
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
Direct0 labelsNone
Paraphrase4 labelsNone
Comparative4 labelsNone
Budget-constrained4 labelsNone
Scale-constrained2 labelsNone
Negative5 labelsNone
First choiceAlternativeMentionNegative19 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.

“OnceHub's scheduling software is a strong option for B2B businesses” Claude Haiku 4.5 · Scheduling · paraphrase prompt · alternative
“Best for structured/complex booking flows: OnceHub” GPT-5.4 mini · Scheduling · paraphrase prompt · alternative
“Best for Customizable Workflows” Kimi K2 · Scheduling · paraphrase 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.

“Listed as "GDPR Risk" with US-based servers (AWS)” GLM 4.7 FlashX · Scheduling · negative prompt · hard negative

Named alongside

The products named in the same answers as OnceHub, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OnceHub was named but was not.
ProductSame answerTook the first choice insteadHead to head
Calendly19 of 1912Not in the top three
Cal.com11 of 191Not in the top three
Chili Piper10 of 190Not in the top three
HubSpot Meetings7 of 191Not in the top three
Doodle7 of 190Not in the top three
Microsoft Bookings7 of 190Not in the top three
Setmore6 of 190Not in the top three
SavvyCal4 of 190Not in the top three
YouCanBookMe4 of 190Not in the top three
RevenueHero3 of 191Not 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 OnceHub. 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 19 answers that named OnceHub and are not a share of its labels.

Domains cited

calendly.com2
oncehub.comYour site2
youcanbook.me2
albato.com1
barakahsoft.com1
blog.hubspot.com1
doodle.com1
guideflow.com1
lunacal.ai1
techarticle.net1

Eleven of the thirteen domain citations in answers naming OnceHub 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 OnceHub'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 OnceHub, 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 oncehub.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.