IT AI Index
Index Vendors › Replit AI · September 2026 Edition
Replit · 1 category · Named, not ranked

Replit AI

15Judge labels
1First choices
3Negative labels
7 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Standing
8 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Replit AI was named 8 times in AI coding, where GitHub Copilot led with 67%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In ai coding · 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 Replit AI 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
AI coding assistantsDeveloper platform2%8 of 4612%8under 10 labels · led by GitHub Copilot at 67%

Movement

This is the first edition on this tier, so no move can be computed for Replit AI 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 Replit AI 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 Flash00000
Perplexity Sonar01001
Grok 4.1 Fast00112
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick10102
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX01102
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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative8 labelsNone
Budget-constrained3 labels1
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative15 labels in all, every segment counted; 1 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.

“such as GitHub Copilot (individual plan), Replit, or Gemini” Llama 4 Maverick · AI coding · budget prompt · first choice
“Best for: Full-stack app development, testing, and hosting from a browser workspace.” Mistral Small · AI coding · comparative prompt · alternative
“Cloud\u2011first, rapid prototyping | Replit Ghostwriter” GLM 4.7 FlashX · AI coding · comparative prompt · alternative
“Want an all-in-one startup environment: Replit” Perplexity Sonar · AI coding · budget 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.

“General Risks Across Most (e.g., Cursor, Claude Code, Replit AI)” Grok 4.1 Fast · AI coding · negative prompt · soft negative

Named alongside

The products named in the same answers as Replit AI, over the 15 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Replit AI was named but was not.
ProductSame answerTook the first choice insteadHead to head
GitHub Copilot15 of 156Not in the top three
Cursor12 of 152Not in the top three
Tabnine10 of 153Not in the top three
Windsurf9 of 150Not in the top three
Amazon Q Developer8 of 150Not in the top three
Claude Code6 of 150Not in the top three
Sourcegraph Cody4 of 150Not in the top three
Aider3 of 151Not in the top three
Cline3 of 151Not in the top three
Continue3 of 150Not 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 Replit AI. 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 14 of the 15 answers that named Replit AI and are not a share of its labels.

Domains cited

axify.io9
learn.g2.com8
dev.to7
tech-insider.org5
zapier.com5
aionx.co4
augmentcode.com4
daily.dev4
memeburn.com4
labs.cloudsecurityalliance.org3

Fifty-three of the fifty-three domain citations in answers naming Replit AI came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Replit AI

What the judge wrote, as written, with how often. The vendor table decides that these count as Replit AI; a claim can dispute any of them.
Replit 2Replit AI (Ghostwriter) 1Replit AI (formerly Ghostwriter) 1Replit Ghostwriter 1
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 Replit AI'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 Replit AI, 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 replit.com 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.

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