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 13 → 9 of 44
Azure · 4 categories · RankedAzure Front Door
41Judge labels
0First choices
3Negative labels
11 / 14Models named it
4Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in CDN for enterprise buyers
Rank 9 of 49 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 8 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market9 of 49
0%8 labels
under the label threshold
Enterprise7 of 45
0%20 labels
accepted challenger
In cdn · 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 Azure Front Door 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 |
|---|---|---|---|---|---|---|---|
| Content delivery networks | Network and edge | 0% | 9 of 49 | 0% | 8 | under 10 labels · led by Cloudflare at 68% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Load balancers | Network and edge | 0% | 20 of 94 | 0% | 6 | under 10 labels · led by HAProxy at 29% | |
| Bot management | Network and edge | 0% | 30 of 83 | 0% | 1 | under 10 labels · led by Cloudflare Bot Management at 56% | |
| Web application firewalls | Network and edge | 0% | 51 of 82 | 0% | 1 | under 10 labels · led by Cloudflare WAF at 69% | goneNot named this edition; 0% in September 2026. |
Movement
Since September 2026, Azure Front Door held within the floor in all four categories: no change cleared 11 points.
Best category · CDN · by segment
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 9 → 7 of 43
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CDN | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 13 → 9 of 49 |
| Load balancers | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 20 of 94, unchanged |
| Bot management | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 30 of 83, unchanged |
| WAF | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 28 → 51 of 82 |
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 Azure Front Door 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 Azure Front Door 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 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 1 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 2 | 1 | 0 | 3 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 2 | 3 | 0 | 5 |
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
Direct5 labelsNone
Paraphrase4 labelsNone
Comparative11 labelsNone
Budget-constrained1 labelNone
Scale-constrained11 labelsNone
Negative9 labels1not counted in share
First choiceAlternativeMentionNegative41 labels in all, every segment counted; 0 of the 1 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.
“Front Door provides integrated caching, WAF, and performance-based routing with anycast entry points.” Muse Glimmer 30B · Load balancers · negative prompt · alternative
“AWS CloudFront or Azure Front Door can integrate tightly with your existing cloud stack” GLM 4.7 FlashX · CDN · paraphrase prompt · alternative
“Same for Google Cloud CDN / Microsoft Azure Front Door if you're on those clouds.” Muse Glimmer 30B · CDN · paraphrase prompt · alternative
“The Public Cloud Partner (e.g., AWS CloudFront, Azure Front Door)” Qwen 3.7 Flash · CDN · scale 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.
No model argued against it.
Named alongside
The products named in the same answers as Azure Front Door, over the 41 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure Front Door was named but was not.ShowHide
Named alongside
The products named in the same answers as Azure Front Door, over the 41 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure Front Door 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 Azure Front Door. 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 32 of the 41 answers that named Azure Front Door and are not a share of its labels.
Domains cited
blog.blazingcdn.com17
fastly.com17
g2.com10
edgenext.com8
learn.microsoft.com8
linkedin.com8
cdnetworks.com7
ciopages.com7
devopsschool.com6
flashedgecdn.com5
Ninety-three of the ninety-three domain citations in answers naming Azure Front Door came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Azure Front Door stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Azure Front Door stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 4,400 a month (“azure front door”)
- AI search demand for its name, est.
- 162 a month
- Its own site
- It sits on Azure's site (azure.cn), so there are no site figures for it alone
In answers
This editionShare of first choices
0%
rank 9 of 49 in CDN
Segment leader
68%
Cloudflare
- First choices
- 0 across its categories
- Named in
- 41 answers
- Its own site cited
- in 32 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.
Names read as Azure Front Door
What the judge wrote, as written, with how often. The vendor table decides that these count as Azure Front Door; a claim can dispute any of them.
Microsoft Azure Front Door 2Azure Application Gateway / Azure Front Door 1Azure Front Door / WAF 1
Follow Azure Front Door
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
Azure is the company behind Azure Front Door.ShowHide
The company
Azure is the company behind Azure Front Door.
ShowHideOn record
Company records- Also from Azure
- Azure ACR, Azure AD Conditional Access, Azure AD Graph API, Azure AI Document Intelligence, Azure AI Foundry, Azure AI Gateway, Azure AI Search, Azure API Management and 79 more
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 Azure Front Door'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 Azure Front Door, 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 Azure Front Door by email, built from the raw record of the edition. It shows:
- where Azure Front Door 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 Azure Front Door, 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.