IT AI Index
Index Vendors › Vercel · September 2026 Edition
3 categories · Named, not ranked

Vercel

26Judge labels
0First choices
3Negative labels
9 of 12Models named it
3Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, 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. Vercel was named 4 times in Cloud hosting and 2 other categories, where Amazon Web Services led with 29%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In cloud hosting · 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 Vercel 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 rateLabelsQuadrant
Cloud hostingCloud and infrastructure0%66 of 78100%2under 10 labels · led by Amazon Web Services at 29%
Content delivery networksNetwork and edge0%21 of 400%1under 10 labels · led by Cloudflare at 80%
LLM gateways and observabilityData platform0%57 of 630%1under 10 labels · led by LiteLLM at 38%

Movement

This is the first edition on this tier, so no move can be computed for Vercel yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Vercel across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.1 Fast00011
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00101
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00101
MiniMax M2.500000

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
Direct4 labelsNone
Paraphrase1 labelNone
Comparative8 labels3not counted in share
Budget-constrained5 labelsNone
Scale-constrained0 labelsNone
Negative8 labelsNone
First choiceAlternativeMentionNegative26 labels in all, every segment counted; 0 of the 3 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.

“High-Markup PaaS Platforms at Scale (Vercel, Render) ... Why to be cautious: Surprise "Bill Shock"” Gemini 3.5 Flash · Cloud hosting · negative prompt · soft negative
“Vercel/Cloudflare: High recent incidents (e.g., 233/110 in 90-day data).” Grok 4.1 Fast · Cloud hosting · negative prompt · soft negative

Named alongside

The products named in the same answers as Vercel, over the 26 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Vercel was named but was not.
ProductSame answerTook the first choice insteadHead to head
Netlify14 of 260Not in the top three
Render10 of 260Not in the top three
Amazon Web Services9 of 261Not in the top three
Cloudflare8 of 265Not in the top three
Google Cloud8 of 261Not in the top three
DigitalOcean7 of 260Not in the top three
Heroku7 of 260Not in the top three
Bunny.net6 of 261Not in the top three
GitHub Actions5 of 264Not in the top three
Microsoft Azure5 of 262Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Vercel. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 16 of the 26 answers that named Vercel and are not a share of its labels.

Domains cited

blog.blazingcdn.com5
medium.com5
dev.to4
best4beginners.com3
devproblems.com3
reddit.com3
spot.rackspace.com3
yewsafe.com3
accio.com2
atlassian.com2

Thirty-three of the thirty-three domain citations in answers naming Vercel came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 Vercel'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 Vercel, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at vercel.app is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.