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 62 → 86 of 89
3 categories · RankedTelegram
25Judge labels
0First choices
25Negative labels
12 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
0% in Frontline employee apps for mid-market buyers
Rank 105 of 106 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 100% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business87 of 90
0%5 labels
under the label threshold
Mid-market105 of 106
0%9 labels
under the label threshold
Enterprise90 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 Telegram 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% | 105 of 106 | 100% | 9 | 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. |
| Job advertising and distribution | Talent acquisition | 0% | 99 of 111 | 100% | 1 | under 10 labels · led by JobTarget at 23% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Skills intelligence | Performance and talent management | 0% | 121 of 127 | 100% | 1 | under 10 labels · led by Skills Base at 18% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Telegram held within the floor in all three 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 92 → 99 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 97 → 81 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 92 → 105 of 106 |
| Job advertising | 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 81 → 99 of 111 |
| Skills intelligence | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 121 of 127, 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 Telegram 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 Telegram 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 | 1 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 1 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 1 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 2 | 2 |
| 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
Negative25 labelsNone
First choiceAlternativeMentionNegative25 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.
“scammers use platforms like Facebook, Instagram, TikTok, WhatsApp, and Telegram to promote fake opportunities” Claude Haiku 4.5 · Job advertising · negative prompt · hard negative
“Apps to Avoid/Cautious Of: WhatsApp, iMessage, Facebook Messenger, SMS (Standard Texting), Telegram.” Qwen 3.7 Flash · Frontline employee apps · negative prompt · hard negative
“WhatsApp, Signal, and Telegram for workplace use due to security risks and data leakage risks” Llama 4 Maverick · Frontline employee apps · negative prompt · hard negative
“Why avoid: These are consumer-grade apps not designed for workplace security” Kimi K2 · Frontline employee apps · negative prompt · hard negative
Named alongside
The products named in the same answers as Telegram, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Telegram was named but was not.ShowHide
Named alongside
The products named in the same answers as Telegram, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Telegram 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 Telegram. 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 25 of the 25 answers that named Telegram and are not a share of its labels.
Domains cited
hr-ai-index.com19
mangoapps.com13
joinblink.com12
getflip.com9
pebb.io9
redeapp.com8
staffbase.com8
speakap.com7
slashdot.org6
unily.com6
Ninety-seven of the ninety-seven domain citations in answers naming Telegram came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
telegram.org is not in Google's top ten for any of the category's searches. In the answers, Telegram takes 0% of first choices and Connecteam takes 49%.ShowHide
Search and answers
telegram.org is not in Google's top ten for any of the category's searches. In the answers, Telegram 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
- 1,000,000 a month (“telegram”)
- AI search demand for its name, est.
- 45,083 a month
- Organic visits to its site
- about 1,601,421 a month
- Searches its site ranks for
- 10,660 · 4,307 in the top three
- Sites linking to it
- 133,796
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on GoogleDetailLess1 ads · 1 text · 0 shown in the last 30 days
First shown December 2025, as ARTYOM ISAYCHEV, verified. Ads started 2025-10 to 2026-09: 1 in the year.
On Google's pages: 1
In answers
This editionShare of first choices
0%
rank 105 of 106 in frontline employee apps
Segment leader
49%
Connecteam
- First choices
- 0 across its categories
- Named in
- 25 answers
- Its own site cited
- in 25 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
ShowHide
What it publishes
ShowHideAddresses on telegram.org
33
subdomains included
Content
23
counted in the table below
Documentation
0
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 19 | 2 | 2026-08-25 | ||
| Case study | 1 | undated | |||
| Conference or event | 1 | undated | |||
| Template or tool | 1 | 0 | 2025-07-01 | ||
| News or press | 1 | undated |
Most recent
- 2026-08-25Welcome messages buttons TG 13 blog
- 2026-07-14Communities editor invisible messages blog
- 2026-06-11Watch apps and more blog
- 2026-05-07Ai bot revolution 11 new features blog
- 2026-03-31Ai editor mighty polls and more blog
- 2026-03-01Member tags disable sharing and more blog
How it is countedHide how it is counted
Every page telegram.org 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 Telegram
What the judge wrote, as written, with how often. The vendor table decides that these count as Telegram; a claim can dispute any of them.
Telegram/WhatsApp Groups 1
Follow Telegram
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
Telegram is its own company.ShowHide
The company
Telegram is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- a new era of messaging
- Not stated on the pages read
- Who it is for, price, starting price, free plan or trial, integrations, certifications, hosting, customers
What Telegram's own pages state, read September 28, 2026: telegram.org. 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 Telegram'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 Telegram, 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 Telegram by email, built from the raw record of the edition. It shows:
- where Telegram 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 Telegram, 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.