GTM AI Index
Index Vendors › CustomerLabs 1PD Ops · September 2026 Edition
1 category · Ranked

CustomerLabs 1PD Ops

38Judge labels
5First choices
0Negative labels
9 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.
Best standing
6% in Identity for mid-market buyers
Rank 5 of 151 in the mid-market standingaccepted challenger
0 of 12 models made it the first choice on the direct prompt; 0% of its 11 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In identity · 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 CustomerLabs 1PD Ops 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
Identity resolutionGTM data and infrastructure6%5 of 1510%11accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for CustomerLabs 1PD Ops 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 CustomerLabs 1PD Ops 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 Fast01001
Mistral Small11002
DeepSeek V4 Flash11002
Llama 4 Maverick00202
Qwen 3.7 Flash00000
Kimi K201001
GLM 4.7 FlashX00101
MiniMax M2.510001

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
Direct7 labelsNone
Paraphrase0 labelsNone
Comparative14 labels8not counted in share
Budget-constrained14 labels5
Scale-constrained1 labelNone
Negative2 labelsNone
First choiceAlternativeMentionNegative38 labels in all, every segment counted; 5 of the 13 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.

“I'd recommend starting with CustomerLabs at $129/month if you need a complete solution” Mistral Small · Identity · budget prompt · first choice
“If you have a limited budget, CustomerLabs is your best bet.” DeepSeek V4 Flash · Identity · budget prompt · first choice
“CustomerLabs 1PD Ops — Best Overall Value” MiniMax M2.5 · Identity · budget prompt · first choice
“if you need first-party data collection and activation without heavy engineering, though this is more of a marketing ops choice” Perplexity Sonar · Identity · 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.

No model argued against it.

Named alongside

The products named in the same answers as CustomerLabs 1PD Ops, over the 38 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CustomerLabs 1PD Ops was named but was not.
ProductSame answerTook the first choice insteadHead to head
LiveRamp31 of 385Not in the top three
FullContact21 of 382Not in the top three
Segment19 of 384Not in the top three
Amperity18 of 381Not in the top three
Tealium15 of 380Not in the top three
Hightouch Adaptive Identity Resolution13 of 381Not in the top three
Hightouch12 of 381Not in the top three
Leadpipe11 of 383Not in the top three
Prospeo11 of 383Not in the top three
mParticle11 of 380Not 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 CustomerLabs 1PD Ops. 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 2 of the 38 answers that named CustomerLabs 1PD Ops and are not a share of its labels.

Domains cited

g2.com2
gitnux.org2
guideflow.com2
prospeo.io2
softwaresuggest.com2
tilores.io2
worldmetrics.org2
checkthat.ai1
ciente.io1
dataladder.com1

Seventeen of the seventeen domain citations in answers naming CustomerLabs 1PD Ops 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 CustomerLabs 1PD Ops'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 CustomerLabs 1PD Ops, 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 customer.io 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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