Every category where a model named Cognigy 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
AI voice agents	Customer	0%	26 of 103	33%	9	under 10 labels · led by Retell AI at 27%
Chatbots and conversational AI for support	Customer	0%	32 of 114	0%	3	under 10 labels · led by Intercom Fin AI Agent at 41%	=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

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

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Model	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	1	1
Gemini 3.5 Flash	0	0	0	0
Perplexity Sonar	2	0	0	2
Grok 4.20	0	0	0	0
Mistral Small	0	1	0	1
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	1	0	1	2
GLM 4.7 FlashX	2	0	1	3
MiniMax M2.5	0	0	0	0
GPT-6 Luna	1	0	0	1
Muse Glimmer 30B	1	1	0	2

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

Direct13 labels3

Paraphrase8 labels2

Comparative19 labels1not counted in share

Budget-constrained10 labels3

Scale-constrained2 labelsNone

Negative7 labelsNone

First choiceAlternativeMentionNegative59 labels in all, every segment counted; 8 of the 9 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.

“Global enterprises needing structured, predictable conversation workflows, particularly existing NICE customers.” Muse Glimmer 30B · AI voice agents · comparative prompt · alternative

“Evaluate it when governance, integration depth, and coordinated handoffs to human agents matter more” GPT-6 Luna · AI voice agents · comparative prompt · alternative

“Choose Cognigy if you are a large contact center operator needing a robust, compliant platform” GLM 4.7 FlashX · AI voice agents · comparative prompt · alternative

“Cognigy is suggested when you need to sit on top of an existing contact center platform” Perplexity Sonar · AI voice agents · paraphrase 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.

“Skip enterprise-focused platforms like PolyAI, Cognigy, or Cresta” Kimi K2 · AI voice agents · direct prompt · hard negative

“often better fits for larger contact-center-centric organizations than for lean mid-market B2B teams” GPT-5.4 mini · AI voice agents · direct prompt · soft negative

“overkill for mid‑market” GLM 4.7 FlashX · AI voice agents · direct prompt · soft negative

Named alongside

The products named in the same answers as Cognigy, over the 59 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Cognigy was named but was not.

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ProductSame answerTook the first choice insteadHead to head

PolyAI27 of 596Not among the top eight

Retell AI26 of 599Not among the top eight

Kore.ai22 of 593Not among the top eight

Bland AI21 of 593Not among the top eight

Vapi17 of 594Not among the top eight

Synthflow16 of 591Not among the top eight

Intercom Fin AI Agent12 of 594Not among the top eight

Zendesk AI12 of 592Not among the top eight

Sierra11 of 593Not among the top eight

Ada10 of 591Not 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 Cognigy. 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 58 of the 59 answers that named Cognigy and are not a share of its labels.

Domains cited

retellai.com39

cloudtalk.io28

rasa.com20

synthflow.ai16

parloa.com15

lindy.ai14

bland.ai12

getvoip.com12

brilo.ai11

11x.ai10

177 of the 177 domain citations in answers naming Cognigy came from somebody else's page.

Pages cited

rasa.com/blog/best-ai-voice-agents13

retellai.com/blog/best-ai-voice-agent-solutions-for-business-phone-systems13

cloudtalk.io/blog/best-ai-voice-agents-for-customer-support-and-service12

parloa.com/knowledge-hub/ai-voice-agent-solutions12

retellai.com/blog/best-ai-voice-agent-services-businesses12

brilo.ai/resources/best-ai-voice-agents10

lindy.ai/blog/ai-voice-agents10

cloudtalk.io/blog/best-ai-voice-agents9

Pages are listed as the models cited them.

Search and answers

cognigy.com is not in Google's top ten for any of the category's searches. In the answers, Cognigy takes 0% of first choices and Retell AI takes 27%.

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In search

Google, US estimates

Position for “ai voice agent platform”

–

not in the top ten

Position for “best ai voice agent platform”

–

not in the top ten

Searches for its name, Google: 1,900 a month (“cognigy”)
AI search demand for its name, est.: 76 a month
Organic visits to its site: about 5,945 a month
Searches its site ranks for: 945 · 60 in the top three
Sites linking to it: 3,664
Paid Google search: 7 searches its ads show for, about 38 clicks and $1,533 a month (estimate)

Ads on GoogleDetailLess

48 ads · 37 text, 8 image, 3 video · 24 shown in the last 30 days

First shown February 2026, as NICE Ltd., verified. Ads started 2025-10 to 2026-09: 48 in the year. 4 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 26 of 103 in AI voice agents

Segment leader

27%

Retell AI

First choices: 8 across its categories
Named in: 59 answers
Its own site cited: in 58 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on cognigy.com

2,038

subdomains included

Content

460

counted in the table below

Documentation

1,142

Product · Integration

34 · 34

Kind	Pages	Last 90 days	Latest	Categories named
Blog	135	4	2026-08-18	CRM
Glossary or explainer	116	undated
News or press	94	undated
Report or ebook	42	undated
Case study	41	undated
Conference or event	18	undated
Comparison	11	undated
Webinar or virtual event	1	undated
Template or tool	1	undated
Podcast or video	1	undated

Most recent

2026-08-18Minimize ai chatbot hallucinations blog
2026-07-30What Is Retrieval Augmented Generation? RAG in AI Systems | NiCE Cognigy blog
2026-07-22What are ai workflows blog
2026-07-16Ai copilot explained blog
2025-11-21How to automate customer service blog

How it is countedHide how it is counted

Every page cognigy.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.

Names read as Cognigy

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

Cognigy.AI 2Cognigy.ai 1

Follow Cognigy

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

Cognigy is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Enterprise Customer Service AI & AI Agents
cognigy.com
For: enterprise customer service
cognigy.com
Price stated: Get a demo or try it free today. cognigy.com
Free plan or trial: try it free today cognigy.com
Certifications: ISO 27001ISO 27701ISO 42001SOC 2 Type IITISAXBSI C5GDPRSOC2
Customers named: LufthansaToyotaDHLFrontier AirlinesLidlHenkelSalzburg AGMister Spex
Not stated on the pages read: Starting price, integrations, hosting

What Cognigy's own pages state, read September 28, 2026: cognigy.com, trust.cognigy.com, cognigy.com/solutions/ai-agents. A claimed page can correct any of 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 Cognigy'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 Cognigy, 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 Cognigy by email, built from the raw record of the edition. It shows:

where Cognigy 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 Cognigy, 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.