Every category where a model named Close 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
CRM	Revenue operations	0%	15 of 71	8%	13	accepted challenger
Sales engagement platforms	Sales	0%	14 of 55	0%	6	under 10 labels · led by Salesloft at 35%
Lead routing and management	Sales	0%	58 of 104	33%	3	under 10 labels · led by LeadAngel at 32%
Sales dialers and calling	Sales	0%	20 of 76	0%	3	under 10 labels · led by Aloware at 18%

Movement

This is the first edition on this tier, so no move can be computed for Close 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 Close 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	0	1	0	1
GPT-5.4 mini	0	1	0	0	1
Gemini 3.5 Flash	0	0	1	0	1
Perplexity Sonar	0	0	0	0	0
Grok 4.1 Fast	0	0	0	0	0
Mistral Small	0	4	0	0	4
DeepSeek V4 Flash	0	4	1	0	5
Llama 4 Maverick	0	0	1	0	1
Qwen 3.7 Flash	1	2	0	0	3
Kimi K2	0	0	1	0	1
GLM 4.7 FlashX	0	3	2	0	5
MiniMax M2.5	0	1	0	2	3

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

Direct10 labels1

Paraphrase4 labelsNone

Comparative18 labels1not counted in share

Budget-constrained5 labels1

Scale-constrained2 labels1

Negative12 labels1not counted in share

First choiceAlternativeMentionNegative51 labels in all, every segment counted; 3 of the 5 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.

“simpler tools like Pipedrive, Close.com, or Less Annoying CRM tend to result in higher satisfaction” Qwen 3.7 Flash · CRM · negative prompt · first choice

“Built for "phone-based" sales... excellent for startups and SDR/BDR teams” Qwen 3.7 Flash · CRM · comparative prompt · alternative

“Close if you want calling built into a broader inside-sales platform” GPT-5.4 mini · Dialers · paraphrase prompt · alternative

“Pipedrive, HubSpot, and Close — complaints exist but are *scattered*” DeepSeek V4 Flash · CRM · negative 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.

“Sales-Only CRMs (Pipedrive, Close) - Avoid if you have marketing + sales + customer success teams” MiniMax M2.5 · CRM · negative prompt · soft negative

“Limitation: Limited routing features” MiniMax M2.5 · Lead routing · comparative prompt · soft negative

Named alongside

The products named in the same answers as Close, over the 51 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Close was named but was not.

ProductSame answerTook the first choice insteadHead to head

Pipedrive26 of 512Not in the top three

HubSpot Sales Hub22 of 514Not in the top three

Salesforce Sales Cloud21 of 512Not in the top three

Zoho CRM20 of 511Not in the top three

HubSpot CRM18 of 514Not in the top three

Apollo.io15 of 515Not in the top three

Freshsales14 of 510Not in the top three

Salesloft10 of 511Not in the top three

Kixie10 of 510Not in the top three

Outreach9 of 513Not 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 Close. 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 5 of the 51 answers that named Close and are not a share of its labels.

Domains cited

g2.com3

learn.g2.com3

aircall.io1

capterra.com1

close.comYour site1

justcall.io1

kixie.com1

phoneburner.com1

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

Pages cited

learn.g2.com/best-auto-dialer-software2

aircall.io/call-center-software-features/power-dialer1

capterra.com/p/127612/SalesDialers-com1

close.com/pricing1

g2.com/categories/auto-dialer1

g2.com/categories/sales-engagement1

g2.com/categories/sales-engagement/small-business1

g2.com/products/2x-connect/reviews1

Pages are listed as the models cited them.

Names read as Close

What the judge wrote, as written, with how often. The vendor table decides that these count as Close; a claim can dispute any of them.

Close CRM 4Close.com 1

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 Close'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 Close, 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 close.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.