GTM AI Index

Index › Products › BatchData · October 2026 Edition

1 category · Named, not ranked

BatchData

6Judge labels

0First choices

1Negative labels

5 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. BatchData was named 3 times in Address verification, where Smarty led with 47%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market25 of 108

under the label threshold

Enterprise42 of 84

under the label threshold

In address verification · 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 BatchData 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
Address verification tools	GTM data and infrastructure	0%	25 of 108	0%	3	under 10 labels · led by Smarty at 47%

Movement

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

By model

How each model treated BatchData across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	1	0	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	1	1
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0

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

Paraphrase1 labelNone

Comparative3 labelsNone

Budget-constrained1 labelNone

Scale-constrained1 labelNone

Negative0 labelsNone

First choiceAlternativeMentionNegative6 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.

“Address verification fused with deep real estate intelligence.” Gemini 3.5 Flash · Address verification · comparative 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 BatchData, over the 6 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and BatchData was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Smarty6 of 64Not among the top eight

Melissa4 of 61Not among the top eight

Lob4 of 60Not among the top eight

PostGrid Address Verification4 of 60Not among the top eight

GeoPostcodes3 of 60Not among the top eight

Experian Data Quality2 of 60Not among the top eight

Radar2 of 60Not among the top eight

Google Address Validation1 of 60Not among the top eight

Google Address Validation API1 of 60Not among the top eight

Loqate1 of 60Not among the top eight

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 BatchData. 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 6 of the 6 answers that named BatchData and are not a share of its labels.

Domains cited

melissa.com6

batchdata.ioYour site5

opencart.com5

postgrid.com4

smarty.com4

apollotechnical.com3

guideflow.com3

radar.com3

capterra.co.uk2

geopostcodes.com2

Thirty-two of the thirty-seven domain citations in answers naming BatchData came from somebody else's page.

Pages cited

melissa.com/address-experts/best-address-verification-apis-complete-comparison6

batchdata.io/blog/best-address-verification-apis-2026-complete-comparison-guide5

opencart.com/blog/top-12-address-verification-apis-and-software-compared-for-20265

apollotechnical.com/address-verification-apis-for-saas-and-b2b-marketing-teams3

guideflow.com/blog/address-verification-software3

postgrid.com/address-verification-api/best-address-verification-api3

radar.com/blog/address-verification-software3

capterra.co.uk/directory/33215/address-verification/software2

Pages are listed as the models cited them.

Follow BatchData

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.

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 BatchData'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 BatchData, 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 BatchData by email, built from the raw record of the edition. It shows:

where BatchData 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 BatchData, 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.