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Index › Products › Microsoft Bot Framework · October 2026 Edition
Microsoft · 1 category · Named, not ranked

Microsoft Bot Framework

9Judge labels
0First choices
2Negative labels
6 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, 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. Microsoft Bot Framework was named 4 times in Support chatbots, where Intercom Fin AI Agent led with 41%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In support chatbots · 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 Microsoft Bot Framework 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
Chatbots and conversational AI for supportCustomer0%36 of 1140%4under 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

Since September 2026, Microsoft Bot Framework held within the floor in its one category: no change cleared 11 points.

Best category · Support chatbots · by segment

Small businessnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 77 of 93, unchanged
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 76 → 38 of 109
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 103 → 49 of 105

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
Support chatbots0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 76 → 36 of 114

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 11 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 Microsoft Bot Framework 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 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00101
Grok 4.2000000
Mistral Small00101
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative5 labelsNone
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative9 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.

No model argued against it.

Named alongside

The products named in the same answers as Microsoft Bot Framework, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Microsoft Bot Framework was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Intercom Fin AI Agent7 of 91Not among the top eight
Zendesk AI6 of 91Not among the top eight
Ada5 of 91Not among the top eight
Botpress5 of 91Not among the top eight
Rasa5 of 90Not among the top eight
Tidio5 of 90Not among the top eight
Cognigy4 of 90Not among the top eight
IBM Watson Assistant4 of 90Not among the top eight
Kore.ai4 of 90Not among the top eight
Amazon Lex3 of 90Not 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 Microsoft Bot Framework. 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 9 of the 9 answers that named Microsoft Bot Framework and are not a share of its labels.

Domains cited

botpress.com8
capterra.com5
lindy.ai4
zendesk.com4
chatbot.com3
azumo.com2
bland.ai2
bolddesk.com2
chatimize.com2
freshworks.com2

Thirty-four of the thirty-four domain citations in answers naming Microsoft Bot Framework came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Microsoft Bot Framework

What the judge wrote, as written, with how often. The vendor table decides that these count as Microsoft Bot Framework; a claim can dispute any of them.
Microsoft Bot Framework & Power Virtual Agents 1Microsoft Bot Framework and Power Virtual Agents 1

Follow Microsoft Bot Framework

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

Microsoft is the company behind Microsoft Bot Framework.
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On record

Wikidata
Headquarters
Vancouver, Canada
Founded
1975
Employees
about 228,000 (2024)
Ownership
Public, 4338 on Hong Kong Stock Exchange

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

In its own words

Stated by the vendor, not checked
Customers named
TomTomPeaksys, Cdiscount's technology subsidiary
Not stated on the pages read
Positioning, who it is for, price, starting price, free plan or trial, integrations, certifications, hosting

What Microsoft Bot Framework's own pages state, read October 5, 2026: microsoft.com/de-de/isv/cloud-ai-developer-tools, microsoft.com/bg-bg/ai/use-case/ai-developer-agent, microsoft.com/bg-bg/microsoft-copilot/copilot-101/ai-chatbot, microsoft.com/bg-bg/microsoft-copilot/copilot-101/chatbot-builder, microsoft.com/de-de/microsoft-copilot/copilot-101/chatbot-builder. 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 Microsoft Bot Framework'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 Microsoft Bot Framework, 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 Microsoft Bot Framework by email, built from the raw record of the edition. It shows:

  • where Microsoft Bot Framework 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 Microsoft Bot Framework, 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 microsoft.com 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.