Every category where a model named Ada 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%	18 of 106	15%	20	accepted challenger

Movement

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

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	1	0	0	1
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	3	0	0	3
Perplexity Sonar	0	1	0	0	1
Grok 4.1 Fast	0	2	1	0	3
Mistral Small	0	0	1	0	1
DeepSeek V4 Flash	0	2	0	1	3
Llama 4 Maverick	0	1	0	0	1
Qwen 3.7 Flash	0	1	0	0	1
Kimi K2	0	1	0	2	3
GLM 4.7 FlashX	1	0	0	0	1
MiniMax M2.5	0	0	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

Direct12 labels1

Paraphrase6 labels2

Comparative25 labels2not counted in share

Budget-constrained6 labelsNone

Scale-constrained8 labels1

Negative8 labelsNone

First choiceAlternativeMentionNegative65 labels in all, every segment counted; 4 of the 6 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.

“Ada: Best for large-scale, multi-language support” GLM 4.7 FlashX · Support chatbots · comparative prompt · first choice

“Choose Ada if you have clean internal APIs and want to build highly sophisticated, transactional automated workflows” Gemini 3.5 Flash · Support chatbots · direct prompt · alternative

“No-code automation focus | Playbooks for custom flows, multilingual, high-volume deflection.” Grok 4.1 Fast · Support chatbots · direct prompt · alternative

“Best-of-Breed Specialist AI Agents: *Ada*, *Sierra*, *Thankful*, or *Solvemate*” Gemini 3.5 Flash · Support chatbots · scale 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.

“Platforms with Serious Red Flags (Avoid or Extreme Caution)... Ada... Described as a "complete scam company" by multiple users” Kimi K2 · Support chatbots · negative prompt · hard negative

“$150K+ minimums; likely overkill for 500 people” Kimi K2 · Support chatbots · scale prompt · soft negative

“Overkill and overpriced for mid-market” DeepSeek V4 Flash · Support chatbots · direct prompt · soft negative

Named alongside

The products named in the same answers as Ada, over the 65 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ada was named but was not.

ProductSame answerTook the first choice insteadHead to head

Intercom57 of 6519Not in the top three

Zendesk AI34 of 654Not in the top three

Tidio32 of 658Not in the top three

Kore.ai25 of 653Not in the top three

Salesforce Agentforce24 of 651Not in the top three

Gorgias23 of 651Not in the top three

Sierra19 of 651Not in the top three

Botpress15 of 650Not in the top three

Freshdesk15 of 650Not in the top three

Zendesk14 of 651Not 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 Ada. 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 17 of the 65 answers that named Ada and are not a share of its labels.

Domains cited

fin.ai9

zendesk.com9

botpress.com8

capterra.com8

eesel.ai8

lindy.ai8

thecxlead.com8

teamsupport.com7

crescendo.ai5

featurebase.app5

No domain is on file for Ada, so its own site is not marked.

Pages cited

fin.ai/learn/best-ai-chatbots-customer-support9

thecxlead.com/tools/best-ai-chatbot-for-customer-service8

capterra.com/resources/customer-service-chatbot-platforms7

lindy.ai/blog/best-customer-service-chatbots7

teamsupport.com/best-ai-chatbots-customer-support-20267

zendesk.com/service/ai/chatbots-customer-service7

botpress.com/blog/customer-service-chatbot-platforms6

eesel.ai/blog/best-ai-customer-support-chatbot6

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 Ada'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 Ada, 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.