Every category where a model named Rasa 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Chatbots and conversational AI for support	Customer	0%	29 of 106	0%	4	under 10 labels · led by Intercom at 35%

Movement

This is the first edition on this tier, so no move can be computed for Rasa 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 Rasa across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	1	0	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	1	0	1
MiniMax M2.5	1	0	1

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

Paraphrase3 labels1

Comparative8 labelsNone

Budget-constrained1 label1

Scale-constrained0 labelsNone

Negative5 labelsNone

First choiceAlternativeMentionNegative18 labels in all, every segment counted; 2 of the 2 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.

“Maximum control & customization: Rasa, Botpress, or Kore.ai” MiniMax M2.5 · Support chatbots · comparative prompt · alternative

“Rasa: Maximum control for open-source deployment” GLM 4.7 FlashX · Support chatbots · comparative prompt · alternative

“Teams needing complete model and data control” DeepSeek V4 Flash · 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 Rasa, over the 18 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Rasa was named but was not.

ProductSame answerTook the first choice insteadHead to head

Intercom14 of 186Not in the top three

Kore.ai13 of 182Not in the top three

Ada13 of 181Not in the top three

Botpress10 of 180Not in the top three

Tidio9 of 182Not in the top three

Zendesk AI9 of 182Not in the top three

Cognigy8 of 180Not in the top three

Salesforce Agentforce7 of 180Not in the top three

Google Dialogflow CX6 of 180Not in the top three

Amazon Lex5 of 180Not 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 Rasa. 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 18 answers that named Rasa and are not a share of its labels.

Domains cited

botpress.com1

capterra.com1

chatty.net1

comm100.com1

crescendo.ai1

eesel.ai1

fin.ai1

g2.com1

getzowie.com1

guideflow.com1

Ten of the ten domain citations in answers naming Rasa came from somebody else's page.

Pages cited

botpress.com/blog/customer-service-chatbot-platforms1

capterra.com/resources/customer-service-chatbot-platforms1

chatty.net/blog/chatbot-for-customer-support1

comm100.com/blog/best-enterprise-ai-chatbots1

crescendo.ai/blog/best-enterprise-chatbots-for-live-support1

eesel.ai/blog/chatbot-for-enterprises1

fin.ai/learn/best-ai-chatbots-customer-support1

g2.com/discussions/leading-ai-chatbot-software-for-customer-service1

Pages are listed as the models cited them.

The company

rasa-sdk is the company behind Rasa.

Website: rasa.com
Headquarters: San Francisco
Founded: 2016

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 Rasa'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 Rasa, 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 rasa.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.