GTM AI Index
Index Vendors › Whatfix · September 2026 Edition
2 categories · Ranked

Whatfix

145Judge labels
19First choices
54Negative labels
12 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.
Best standing
26% in Digital adoption for enterprise buyers
Rank 3 of 58 in the mid-market standingcriticized challenger
2 of 12 models made it the first choice on the direct prompt; 37% of its 46 labels there were negative.
By buyer segmentStrongest at enterprise.
In digital adoption · 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 Whatfix 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
Digital adoption and onboardingCustomer15%3 of 5837%46criticized challenger
In-app messaging and customer communicationsCustomer0%78 of 1130%1under 10 labels · led by Intercom at 20%

Movement

This is the first edition on this tier, so no move can be computed for Whatfix 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 Whatfix 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 mini20114
Gemini 3.5 Flash12036
Perplexity Sonar01113
Grok 4.1 Fast00224
Mistral Small10113
DeepSeek V4 Flash30025
Llama 4 Maverick00101
Qwen 3.7 Flash23005
Kimi K221137
GLM 4.7 FlashX02013
MiniMax M2.502035

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
Direct32 labels6
Paraphrase13 labels2
Comparative32 labels13not counted in share
Budget-constrained23 labels5
Scale-constrained16 labels6
Negative29 labels2not counted in share
First choiceAlternativeMentionNegative145 labels in all, every segment counted; 19 of the 34 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.

“the best choice is usually Whatfix if your priority is a strong balance of enterprise-grade capability, implementation flexibility, and mid-market fit” GPT-5.4 mini · Digital adoption · direct prompt · first choice
“Whatfix — Best Overall for Mid-Market B2B ... Whatfix offers the best balance of enterprise-grade features, customization, and reasonable pricing” DeepSeek V4 Flash · Digital adoption · direct prompt · first choice
“Whatfix, Userlane, or Apty frequently offer the best balance of enterprise-grade capabilities, faster deployment, and more manageable TCO at your scale.” DeepSeek V4 Flash · Digital adoption · scale prompt · first choice
“Strong competitor, often viewed as more user-friendly and agile than WalkMe. Very popular in the mid-market.” Qwen 3.7 Flash · Digital adoption · scale prompt · first choice

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.

“you will want to avoid heavy enterprise Digital Adoption Platforms (DAPs) like WalkMe, Whatfix, and Pendo” Gemini 3.5 Flash · Digital adoption · budget prompt · hard negative
“Avoid WalkMe, Whatfix, and Pendo” Mistral Small · Digital adoption · negative prompt · hard negative
“not realistic for limited budgets” DeepSeek V4 Flash · Digital adoption · budget prompt · hard negative
“Avoid WalkMe, Whatfix, and Pendo” Kimi K2 · Digital adoption · paraphrase prompt · hard negative

Named alongside

The products named in the same answers as Whatfix, over the 145 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Whatfix was named but was not.
ProductSame answerTook the first choice insteadHead to head
WalkMe139 of 14518Not in the top three
Pendo118 of 1457Not in the top three
Appcues80 of 1456Not in the top three
Apty67 of 1452Not in the top three
Userlane42 of 1450Not in the top three
Tango41 of 1454Not in the top three
Chameleon27 of 1450Not in the top three
Userflow26 of 1456Not 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 Whatfix. 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 26 of the 145 answers that named Whatfix and are not a share of its labels.

Domains cited

userpilot.com18
whatfix.comYour site17
gartner.com12
guideflow.com12
walkme.com12
appcues.com10
g2.com10
learn.g2.com9
pendo.io9
vividminds.ai9

101 of the 118 domain citations in answers naming Whatfix 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 Whatfix'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 Whatfix, 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 whatfix.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.