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Index › Vendors › TechTarget / Informa TechTarget Priority Engine · September 2026 Edition

1 category · Named, not ranked

TechTarget / Informa TechTarget Priority Engine

2Judge labels

0First choices

0Negative labels

1 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

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. TechTarget / Informa TechTarget Priority Engine was named 1 time in Intent data, where Bombora led with 35%. 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-market38 of 62

under the label threshold

Enterprise22 of 39

under the label threshold

In intent data · 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 TechTarget / Informa TechTarget Priority Engine 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
B2B intent data providers	Sales	0%	38 of 62	0%	1	under 10 labels · led by Bombora at 35%

Movement

This is the first edition on this tier, so no move can be computed for TechTarget / Informa TechTarget Priority Engine 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 TechTarget / Informa TechTarget Priority Engine across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Paraphrase0 labelsNone

Comparative2 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative2 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.

“Strong in technology buying intent, especially around software research.” GPT-5.4 mini · Intent data · 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 TechTarget / Informa TechTarget Priority Engine, over the 2 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and TechTarget / Informa TechTarget Priority Engine was named but was not.

ProductSame answerTook the first choice insteadHead to head

Bombora2 of 22Not in the top three

6sense2 of 21Not in the top three

Demandbase2 of 21Not in the top three

G2 Buyer Intent2 of 20Not in the top three

TrustRadius2 of 20Not in the top three

ZoomInfo2 of 20Not in the top three

Cognism1 of 20Not in the top three

Madison Logic1 of 20Not 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 TechTarget / Informa TechTarget Priority Engine. 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 2 answers that named TechTarget / Informa TechTarget Priority Engine and are not a share of its labels.

Domains cited

6sense.com2

bombora.com2

demandbase.com2

g2.com2

sell.g2.com1

solutions.trustradius.com1

trustradius.com1

Eleven of the eleven domain citations in answers naming TechTarget / Informa TechTarget Priority Engine came from somebody else's page.

Pages cited

6sense.com/platform/intent-data2

bombora.com/intent2

demandbase.com/blog/b2b-intent-data-providers2

bombora.com/wp-content/uploads/2021/07/gartner-emerging-technology-analysis-leveraging-int1

demandbase.com/blog/b2b-data-vendors1

g2.com/categories/buyer-intent-data-providers1

g2.com/categories/buyer-intent-data-providers/enterprise1

g2.com/categories/buyer-intent-data-providers/themes/account-based-marketing1

Pages are listed as the models cited them.

The company

TechTarget is the company behind TechTarget / Informa TechTarget Priority Engine.

Website: techtarget.com
Headquarters: Newton, United States
Founded: 1999
Ownership: Public, TTGT on Nasdaq

From Wikidata, fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · Crunchbase

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 TechTarget / Informa TechTarget Priority Engine'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 TechTarget / Informa TechTarget Priority Engine, 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 techtarget.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.