Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 65 → 83 of 89
Facebook · 2 categories · Named, not rankedFacebook Messenger
21Judge labels
0First choices
21Negative labels
10 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Facebook Messenger was named 9 times in Frontline employee apps and 1 other category, where Connecteam led with 49%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business84 of 90
0%4 labels
under the label threshold
Mid-market104 of 106
0%8 labels
under the label threshold
Enterprise89 of 91
0%8 labels
under the label threshold
In frontline employee apps · 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 Facebook Messenger 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 |
|---|---|---|---|---|---|---|---|
| Frontline employee apps | Onboarding and employee experience | 0% | 104 of 106 | 100% | 8 | under 10 labels · led by Connecteam at 49% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Whistleblowing and investigations | Core HR and payroll | 0% | 87 of 107 | 100% | 1 | under 10 labels · led by FaceUp at 25% |
Movement
Since September 2026, Facebook Messenger held within the floor in all two categories: no change cleared 13 points.
Best category · Frontline employee apps · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 91 → 98 of 100
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 95 → 80 of 82
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Frontline employee apps | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 91 → 104 of 106 |
| Whistleblowing | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 87 of 107, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Facebook Messenger across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Facebook Messenger across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 2 | 2 |
| Grok 4.1 Fast | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 1 | 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-constrained0 labelsNone
Negative21 labelsNone
First choiceAlternativeMentionNegative21 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.
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.
“Apps to Avoid/Cautious Of: WhatsApp, iMessage, Facebook Messenger, SMS (Standard Texting), Telegram.” Qwen 3.7 Flash · Frontline employee apps · negative prompt · hard negative
“Consumer apps repurposed for work | WhatsApp, Facebook Messenger, personal email for work communications” Kimi K2 · Frontline employee apps · negative prompt · hard negative
“such as WhatsApp, Instagram DM, Facebook Messenger, Skype, Zoom... invasive or unsuitable” Perplexity Sonar · Whistleblowing · negative prompt · hard negative
“Facebook Messenger - High data leakage risks according to historical data” MiniMax M2.5 · Frontline employee apps · negative prompt · hard negative
Named alongside
The products named in the same answers as Facebook Messenger, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Facebook Messenger was named but was not.ShowHide
Named alongside
The products named in the same answers as Facebook Messenger, over the 21 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Facebook Messenger was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Facebook Messenger. 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 21 of the 21 answers that named Facebook Messenger and are not a share of its labels.
Domains cited
hr-ai-index.com13
mangoapps.com13
getflip.com11
joinblink.com11
speakap.com9
pebb.io8
unily.com7
polymerhq.io6
redeapp.com6
staffbase.com6
Ninety of the ninety domain citations in answers naming Facebook Messenger came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
facebook.com is not in Google's top ten for any of the category's searches. In the answers, Facebook Messenger takes 0% of first choices and Connecteam takes 49%.ShowHide
Search and answers
facebook.com is not in Google's top ten for any of the category's searches. In the answers, Facebook Messenger takes 0% of first choices and Connecteam takes 49%.
ShowHideIn search
Google, US estimatesPosition for “frontline apps”
–
not in the top ten
Position for “frontline employee communication app”
–
not in the top ten
- Searches for its name, Google
- 201,000 a month (“facebook messenger”)
- AI search demand for its name, est.
- 9,386 a month
- Its company's site
- facebook.com shared with Facebook's other products; the figures are the site's
- Organic visits to its site
- about 3,412,145,496 a month
- Searches its site ranks for
- 135,647,781 · 22,797,654 in the top three
- Sites linking to it
- 34,835,893
- Paid Google search
- 25 searches its ads show for, about 5,121 clicks and $39,318 a month (estimate)
In answers
This editionShare of first choices
0%
rank 104 of 106 in frontline employee apps
Segment leader
49%
Connecteam
- First choices
- 0 across its categories
- Named in
- 21 answers
- Its own site cited
- in 21 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.
Follow Facebook Messenger
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
Facebook is the company behind Facebook Messenger.ShowHide
The company
Facebook is the company behind Facebook Messenger.
ShowHideOn record
Company records- Also from Facebook
- Facebook Groups, Facebook Jobs
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 Facebook Messenger'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 Facebook Messenger, 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 Facebook Messenger by email, built from the raw record of the edition. It shows:
- where Facebook Messenger 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 Facebook Messenger, 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.