Every category where a model named Sierra 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%	27 of 106	12%	8	under 10 labels · led by Intercom at 35%

Movement

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

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

Direct2 labelsNone

Paraphrase2 labelsNone

Comparative10 labels1not counted in share

Budget-constrained3 labelsNone

Scale-constrained4 labelsNone

Negative1 labelNone

First choiceAlternativeMentionNegative22 labels in all, every segment counted; 0 of the 1 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*, *Sierra*, *Thankful*, or *Solvemate* (great if you want deeper automation...)” Gemini 3.5 Flash · Support chatbots · scale prompt · alternative

“Sierra: Excellent for regulated industries with outcome-based pricing” GLM 4.7 FlashX · Support chatbots · comparative prompt · alternative

“High-end, "AI-native" layers built for massive scale” Qwen 3.7 Flash · Support chatbots · comparative prompt · alternative

“Best for: Fortune 500 / regulated brands” 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.

“Platform fee + custom (e.g., Sierra, Ada) | Large enterprises | $150K+ minimums; likely overkill for 500 people” Kimi K2 · Support chatbots · scale prompt · soft negative

Named alongside

The products named in the same answers as Sierra, over the 22 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Sierra was named but was not.

ProductSame answerTook the first choice insteadHead to head

Intercom20 of 229Not in the top three

Ada19 of 222Not in the top three

Zendesk AI11 of 220Not in the top three

Decagon10 of 221Not in the top three

Gorgias9 of 221Not in the top three

Salesforce Agentforce9 of 220Not in the top three

Kore.ai8 of 221Not in the top three

Tidio8 of 221Not in the top three

eesel AI7 of 221Not in the top three

Botpress6 of 220Not 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 Sierra. 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 22 answers that named Sierra and are not a share of its labels.

Domains cited

eesel.ai2

tidio.com2

alhena.ai1

assembled.com1

botpress.com1

capterra.com1

chatbase.co1

chatbots.org1

chatimize.com1

chatty.net1

Twelve of the twelve domain citations in answers naming Sierra came from somebody else's page.

Pages cited

eesel.ai/blog/best-ai-customer-support-chatbot2

alhena.ai/blog/ai-chatbot-pricing-comparison1

assembled.com/blog/ai-chat-agents-customer-support1

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

botpress.com/blog/live-chat-software1

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

chatbase.co/blog/best-chatbot-software1

chatbots.org/best-customer-service-chatbot-tools1

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 Sierra'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 Sierra, 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 sierra.ai 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.