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IT AI Index
Index › Products › WhatsApp · October 2026 Edition
2 categories · Named, not ranked

WhatsApp

14Judge labels
0First choices
9Negative labels
9 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. WhatsApp was named 4 times in Video conferencing and 1 other category, where Zoom Workplace led with 42%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In video conferencing · 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.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Video conferencingIT operations and endpoint0%35 of 5033%3under 10 labels · led by Zoom Workplace at 42%
Communications archiving and complianceSecurity operations0%101 of 101100%1under 10 labels · led by Smarsh Enterprise Archive at 20%

Movement

This is the first edition on this tier, so no move can be computed for WhatsApp 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 WhatsApp across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500011
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01001
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00101

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 labelNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative13 labelsNone
First choiceAlternativeMentionNegative14 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.

“Signal or WhatsApp (for personal use)” GLM 4.7 FlashX · Video conferencing · 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.

“Apps like WhatsApp do not offer "waiting rooms" or host-moderation tools to boot unauthorized users” Gemini 3.5 Flash · Video conferencing · negative prompt · hard negative
“WhatsApp is a popular IM platform that does not offer any compliance features” Claude Haiku 4.5 · Comms archiving · negative prompt · hard negative

Named alongside

The products named in the same answers as WhatsApp, over the 14 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.
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ProductSame answerTook the first choice insteadHead to head
Microsoft11 of 142Not among the top eight
Cisco Webex9 of 141Not among the top eight
Zoom Workplace9 of 141Not among the top eight
Jitsi Meet9 of 140Not among the top eight
Google Meet8 of 141Not among the top eight
Discord7 of 140Not among the top eight
Signal5 of 142Not among the top eight
GoToMeeting5 of 140Not among the top eight
FaceTime4 of 140Not among the top eight
Houseparty4 of 140Not 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 WhatsApp. 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 13 of the 14 answers that named WhatsApp and are not a share of its labels.

Search and answers

Where WhatsApp stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
3,350,000 a month (“whatsapp”)
AI search demand for its name, est.
149,185 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 35 of 50 in video conferencing
Segment leader
42%
Zoom Workplace
First choices
0 across its categories
Named in
14 answers
Its own site cited
No site on file to match

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.

Follow WhatsApp

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.

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.

What a new claim receivesHide what a new claim receives

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

  • where WhatsApp 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 WhatsApp, 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.
The subscriber app

A verification link goes to your work email; an address at the vendor's own domain is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.