TechTarget Priority Engine

Named in 9 judge labels across 1 category by 5 of 6 models in the September 2026 Edition. 0 first choices, 1 negative label. Every number here is derived from the raw labels under vendor table v2026-09-08.5.

Standing

9 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. TechTarget Priority Engine was named 9 times in Intent data, where G2 Buyer Intent led with 25%. The labels and the evidence are below, counted exactly.

Standing by category

Every category where a model named TechTarget Priority Engine. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Vertical	First choices	Rank	Negative rate	Labels	Quadrant
B2B intent data providers	Sales	0%	13 of 40	11%	9	under 10 labels · led by G2 Buyer Intent at 25%

By model

How each model treated TechTarget Priority Engine across every prompt where it was named. Six models, six prompts per category.

Model	Alternative	Mention	Negative	Labels
Claude Opus 5	1	1	0	2
Claude Opus 4.8	1	1	0	2
GPT-6 Astra	1	0	0	1
GPT-5.6 Sol	2	0	1	3
Gemini 3.1 Pro	0	0	0	0
Perplexity Sonar Pro	1	0	0	1

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Publisher-direct from its own owned tech media network | Deep in IT/tech categories, and unusually gives contact-level, permissioned leads” Claude Opus 5 · Intent data · comparative prompt · alternative

“Best for tech-market research audiences: TechTarget Priority Engine” Perplexity Sonar Pro · Intent data · comparative prompt · alternative

“You sell primarily to enterprise IT buyers | Informa TechTarget” GPT-5.6 Sol · Intent data · paraphrase prompt · alternative

“Sell to IT/technical buyers with named prospects: TechTarget” Claude Opus 4.8 · 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.

“TechTarget outside enterprise technology... less obviously suitable for unrelated markets” GPT-5.6 Sol · Intent data · negative prompt · soft negative

Names read as TechTarget Priority Engine

What the judge wrote, as written, with how often. The vendor table decides that these count as TechTarget Priority Engine; a claim can dispute any of them.

Informa TechTarget 6TechTarget (Priority Engine) 1TechTarget / Informa (Priority Engine / BrightTALK) 1TechTarget / Priority Engine (BrightTALK) 1

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page gets a verified contact who is told when each edition publishes; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as TechTarget Priority Engine, applied by version and listed in the change log; and a logo and one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or quadrants, any preview, or any say over which quotes appear. Sponsorship is separate: a sponsor funds categories or buyer dimensions and is named on what it funded, and the rules are the same for every sponsor.