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

Quo

10Judge labels
0First choices
0Negative labels
6 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
5 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Quo was named 5 times in Customer intel and 1 other category, where Google Analytics 4 led with 16%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In customer 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 Quo 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 intelligence and data scienceGTM data and infrastructure0%43 of 1580%4under 10 labels · led by Google Analytics 4 at 16%
Sales coaching and trainingSales0%75 of 1240%1under 10 labels · led by SalesHood at 27%

Movement

This is the first edition on this tier, so no move can be computed for Quo 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 Quo 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 Sonar01102
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00000
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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained7 labelsNone
Scale-constrained1 labelNone
Negative1 labelNone
First choiceAlternativeMentionNegative10 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.

“add Zendesk at $19/user/month or Quo at $15/user/month for phone-based insights” Kimi K2 · Customer intel · budget prompt · alternative
“Quo starts at $15 per user/month and is positioned for smaller teams” Perplexity Sonar · Customer 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 Quo, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Quo was named but was not.
ProductSame answerTook the first choice insteadHead to head
Google Analytics 48 of 106Not in the top three
Hotjar7 of 100Not in the top three
Mixpanel6 of 101Not in the top three
Zendesk4 of 100Not in the top three
HubSpot CRM3 of 101Not in the top three
Amplitude3 of 100Not in the top three
HubSpot3 of 100Not in the top three
PostHog2 of 101Not in the top three
Freshdesk2 of 100Not in the top three
Matomo2 of 100Not 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 Quo. 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 2 of the 10 answers that named Quo and are not a share of its labels.

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 Quo'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 Quo, 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 the vendor's own domain 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.