Index › Products › NICE inContact · October 2026 Edition

NICE · 1 category · Named, not ranked

NICE inContact

6Judge labels

0First choices

2Negative labels

4 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. NICE inContact was named 2 times in Contact center, where Five9 led with 18%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business47 of 67

under the label threshold

Mid-market68 of 86

under the label threshold

Enterprisenot named

No model named it for this buyer.

In contact center · 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 NICE inContact 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	Since September 2026
Contact center platforms	Customer	0%	68 of 86	50%	2	under 10 labels · led by Five9 at 18%

Movement

This is the first edition on this tier, so no move can be computed for NICE inContact yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated NICE inContact across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	1	1
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	1	0	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative1 label1not counted in share

Budget-constrained0 labelsNone

Scale-constrained3 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative6 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.

No positive label carried a quote.

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.

“recent Trustpilot reviews mention support delays, bugs, and multiple outages; ... it's a caution sign” GPT-5.4 mini · Contact center · negative prompt · soft negative

Named alongside

The products named in the same answers as NICE inContact, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and NICE inContact was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Genesys Cloud CX5 of 60Not among the top eight

Five94 of 60Not among the top eight

Aircall2 of 60Not among the top eight

Amazon Connect2 of 60Not among the top eight

NICE CXone2 of 60Not among the top eight

Observe.AI2 of 60Not among the top eight

Talkdesk2 of 60Not among the top eight

Twilio Flex2 of 60Not among the top eight

Kixie PowerCall1 of 61Not among the top eight

3CX1 of 60Not among the top eight

A head-to-head page exists where both products are among a category's top eight. 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 NICE inContact. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 3 of the 6 answers that named NICE inContact and are not a share of its labels.

Domains cited

trustpilot.com2

aircall.io1

aloware.com1

capterra.com1

cloudtalk.io1

connectrate.ai1

emitrr.com1

forbes.com1

g2.com1

justcall.io1

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

Pages cited

trustpilot.com/review/niceincontact.com2

aircall.io/blog/sales/sales-dialers1

aloware.com/blog/the-8-best-sales-dialers1

capterra.com/p/127612/SalesDialers-com/reviews1

capterra.com/p/134672/PhoneBurner1

capterra.com/p/134672/PhoneBurner/reviews1

capterra.com/p/157853/JustCall/reviews1

capterra.com/p/27609/VanillaSoft/reviews1

Pages are listed as the models cited them.

Names read as NICE inContact

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

NICE CXone / NICE inContact 1

Follow NICE inContact

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Nice Ltd is the company behind NICE inContact.

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On record

Wikidata

Website: nice.com
Headquarters: Ra'anana, Israel
Founded: 1986
Ownership: Public, NICE on Nasdaq
Also from NICE: NICE CXone, NICE CXone Mpower, NICE CXone Quality Management, NICE Enlighten, NiCE Cognigy

Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

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 NICE inContact'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 NICE inContact, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for NICE inContact by email, built from the raw record of the edition. It shows:

where NICE inContact is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name NICE inContact, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.