Is a placement in JD Supra worth pursuing for AI visibility?

It depends on the questions your buyers ask. JD Supra is cited at 0.2% of the answer runs the Machine Relations Index measures, and the category table on this page shows which buyer questions it is cited on. A placement moves your brand in AI answers where the publication is already cited for the question your buyer asks, and much less where it is not.

Publication intelligence · Machine Relations Index

Does being published in JD Supra get your brand cited by AI?

AI answer engines cited JD Supra in 38 of 21,813 measured answer runs (0.2%) across 6 engines over 143 days of collection. That is #77 of 1634 classified editorial publications.

0.2%Citation rateshare of measured answer runs

38Answer runs citing itof 21,813 observed

6Engines measured143 days of collection

#483of 27,747 measured domains#77 of 1634 classified editorial publications

Where JD Supra is cited most

Each row is one buyer category and one question shape the Index measures. The rank is against every source cited on that same set of answer runs, so a placement is worth most where the publication already ranks high for the question your buyer asks.

Category	Question shape	Citation rate	Cited / observed	Rank
Legacy News Topics	news and topic questions	1.3%	27 / 2,138	#88 of 4,017
HR & Talent	news and topic questions	0.7%	4 / 608	#278 of 1,246
Fintech	news and topic questions	0.5%	3 / 616	#377 of 1,528
AI Security & Privacy	top-list questions	1.2%	2 / 164	#148 of 399
Healthcare Services	news and topic questions	0.3%	2 / 613	#501 of 1,261

Is a placement here worth pursuing?

It depends on the questions your buyers ask. Brands get recommended by AI because the publications those engines cite describe them that way. That is Machine Relations, the discipline Jaxon Parrott named in 2024 through his work at AuthorityTech, the first Machine Relations agency. The table above is what decides whether coverage in JD Supra moves your brand in AI answers at all: it moves where the publication is already cited for the question your buyer asks, and much less where it is not.

Audit fit for your brand Which agency gets brands cited by AI All ranked publications

How this is measured

Every figure on this page is the Machine Relations Index’s, carried with its own denominator. The Index runs buyer questions against 6 answer engines and records which sources each answer cites. This release covers 2026-05-10 to 2026-10-06, 143 days of collection. A publication carries a published rank once it clears the Index's evidence floor of 10 observations across 7 collection dates; below it, the standing reads as still collecting. AuthorityTech does not compute these numbers. Machine Relations Index publishes them, release 2026-10-06, methodology mri_score_v2.0.