GTM AI Index
Index Vendors › Neuralift · September 2026 Edition
1 category · Named, not ranked

Neuralift

14Judge labels
0First choices
3Negative labels
8 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, 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. Neuralift was named 8 times in Attribution & MMM, where Dreamdata led with 29%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In attribution & mmm · 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 Neuralift 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
Attribution and marketing mix modelingMarketing0%50 of 12425%8under 10 labels · led by Dreamdata at 29%

Movement

This is the first edition on this tier, so no move can be computed for Neuralift yet. The next is due October 1, 2026. 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 Neuralift across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500011
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00202
Mistral Small00101
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.500101

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
Comparative7 labelsNone
Budget-constrained1 labelNone
Scale-constrained3 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative14 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.

“You need a managed service (e.g., Neuralift, Analytic Partners)” DeepSeek V4 Flash · Attribution & MMM · 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.

“Managed services like Neuralift score 2.5 — if you leave, you start from scratch with a new vendor.” Claude Haiku 4.5 · Attribution & MMM · negative prompt · soft negative
“Requires 8\u201312 weeks, black-box model” GLM 4.7 FlashX · Attribution & MMM · comparative prompt · soft negative

Named alongside

The products named in the same answers as Neuralift, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Neuralift was named but was not.
ProductSame answerTook the first choice insteadHead to head
Google Meridian13 of 140Not in the top three
Recast13 of 140Not in the top three
Measured12 of 143Not in the top three
Meta Robyn10 of 140Not in the top three
Cometly9 of 141Not in the top three
Mutinex9 of 141Not in the top three
Triple Whale9 of 141Not in the top three
Analytic Partners9 of 140Not in the top three
Dreamdata8 of 141Not in the top three
Rockerbox8 of 141Not 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 Neuralift. 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 1 of the 14 answers that named Neuralift and are not a share of its labels.

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 Neuralift'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 Neuralift, 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 neuralift.ai 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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