WhatsApp: how AI models rank it, September 2026

GTM AI Index

Index › Vendors › WhatsApp · September 2026 Edition

1 category · Named, not ranked

20Judge labels

0First choices

19Negative labels

9 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

8 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. WhatsApp was named 8 times in In-app messaging, where Intercom led with 20%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business110 of 112

under the label threshold

Mid-market113 of 113

under the label threshold

Enterprise96 of 96

under the label threshold

In in-app messaging · 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 WhatsApp 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
In-app messaging and customer communications	Customer	0%	113 of 113	88%	8	under 10 labels · led by Intercom at 20%

Movement

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

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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained1 labelNone

Negative19 labelsNone

First choiceAlternativeMentionNegative20 labels in all, every segment counted; 0 of the 0 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.

“WhatsApp (default end-to-end encryption)” MiniMax M2.5 · In-app messaging · 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.

“Using free, consumer-grade messaging apps to interact with users inside a business context poses severe security risks.” Gemini 3.5 Flash · In-app messaging · negative prompt · hard negative

“Consumer-grade tools (WhatsApp, Telegram) → Compliance and security gaps” Kimi K2 · In-app messaging · scale prompt · hard negative

“Unofficial WhatsApp Clones (GB WhatsApp, WhatsApp Plus)... stop immediately” Gemini 3.5 Flash · In-app messaging · negative prompt · hard negative

“Privacy concerns surrounding metadata collection, ownership by Meta, cloud backups, and data sharing practices have pushed millions of users to search for more secure alternatives.” Claude Haiku 4.5 · In-app messaging · negative prompt · soft negative

Named alongside

The products named in the same answers as WhatsApp, over the 19 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WhatsApp was named but was not.

ProductSame answerTook the first choice insteadHead to head

Signal15 of 194Not in the top three

Telegram15 of 190Not in the top three

Facebook Messenger13 of 190Not in the top three

Discord8 of 190Not in the top three

Microsoft Teams7 of 191Not in the top three

iMessage7 of 190Not in the top three

Slack6 of 190Not in the top three

Wire5 of 192Not in the top three

Braze5 of 190Not in the top three

Intercom5 of 190Not 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 WhatsApp. 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 19 answers that named WhatsApp and are not a share of its labels.

Domains cited

rocket.chat2

aws.amazon.com1

bellatorcyber.com1

cloudsek.com1

cshub.com1

cyberdefensemagazine.com1

epic.org1

esecurityplanet.com1

fognigma.com1

guptadeepak.com1

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

Pages cited

aws.amazon.com/blogs/security/reduce-the-security-and-compliance-risks-of-messaging-apps-w1

bellatorcyber.com/blog/secure-messaging-apps-for-personal-privacy1

cloudsek.com/knowledge-base/best-secure-messaging-apps1

cshub.com/mobile/news/cyber-security-risks-lurk-in-popular-messaging-apps1

cyberdefensemagazine.com/the-hidden-dangers-of-free-messaging-apps-security-risks-and-data1

epic.org/issues/consumer-privacy/social-media-privacy1

esecurityplanet.com/products/best-secure-messaging-apps1

fognigma.com/post/best-secure-messaging-app1

Pages are listed as the models cited them.

Names read as WhatsApp

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

WhatsApp (Meta) 1WhatsApp Plus 1

The company

Q1049511 is the company behind WhatsApp.

Website: whatsapp.com
Headquarters: Menlo Park
Founded: 2009

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

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 WhatsApp'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 WhatsApp, 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 whatsapp.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.