GTM AI Index
Index Vendors › Google Dialogflow CX · September 2026 Edition
Google · 1 category · Named, not ranked

Google Dialogflow CX

11Judge labels
0First choices
3Negative labels
8 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. Google Dialogflow CX was named 4 times in Support chatbots, where Intercom led with 35%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In support chatbots · 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 Google Dialogflow CX 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
Chatbots and conversational AI for supportCustomer0%32 of 1060%4under 10 labels · led by Intercom at 35%

Movement

This is the first edition on this tier, so no move can be computed for Google Dialogflow CX 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 Google Dialogflow CX 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 Sonar00101
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
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
Comparative6 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative11 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.

“Google Dialogflow CX: Good for voice/IVR applications” GLM 4.7 FlashX · Support chatbots · 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 Google Dialogflow CX, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Dialogflow CX was named but was not.
ProductSame answerTook the first choice insteadHead to head
Intercom10 of 115Not in the top three
Ada10 of 111Not in the top three
Kore.ai8 of 111Not in the top three
Botpress7 of 110Not in the top three
Tidio6 of 111Not in the top three
Amazon Lex6 of 110Not in the top three
Rasa6 of 110Not in the top three
Zendesk AI5 of 111Not in the top three
IBM Watson Assistant5 of 110Not in the top three
Cognigy4 of 110Not 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 Google Dialogflow CX. 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 11 answers that named Google Dialogflow CX and are not a share of its labels.

Domains cited

botpress.com2
capterra.com2
featurebase.app2
fin.ai2
zendesk.com2
assembled.com1
blog.happyfox.com1
blog.hubspot.com1
chatbase.co1
chatbot.com1

Fifteen of the fifteen domain citations in answers naming Google Dialogflow CX came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

The company

Google Search is the company behind Google Dialogflow CX.
Website
google.com
Headquarters
United States
Founded
1997

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

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 Google Dialogflow CX'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 Google Dialogflow CX, 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 google.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.

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