Publication intelligence · Machine Relations Index
Does being published in PCMag get your brand cited by AI?
AI answer engines cited PCMag in 193 of 21,813 measured answer runs (0.9%) across 4 engines over 143 days of collection. That is #10 of 1634 classified editorial publications.
Where PCMag 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 |
|---|---|---|---|---|
| Emergent Prosumer | top-list questions | 15% | 20 / 131 | #3 of 291 |
| Family Software | head-to-head comparisons | 21% | 29 / 138 | #3 of 128 |
| HR & Talent | top-list questions | 14% | 18 / 129 | #8 of 200 |
| Family Software | is-it-worth-it questions | 13% | 17 / 130 | #7 of 162 |
| Family Software | how-to-choose questions | 9.0% | 12 / 134 | #11 of 187 |
| Family Software | best-in-category questions | 15% | 21 / 143 | #10 of 158 |
| Emergent Prosumer | how-to-choose questions | 6.2% | 8 / 129 | #20 of 255 |
| Emergent Prosumer | head-to-head comparisons | 8.9% | 11 / 124 | #14 of 161 |
How to get into PCMag
Contact editors and writers via the masthead
PCMag's editorial masthead lists its editors and writers by section (PCs and hardware, consumer electronics and mobile, software and services, shopping and deals, technology news and features) and links an email address for each.
Email the relevant editor or writer at the address linked from their name on the masthead. For technology news and features, the masthead lists executive editors Chloe Albanesius ([email protected]) and Mark Yarm ([email protected]).
PCMag does not accept unsolicited content or link requests. Response policy not stated.
PCMag’s own pagePitch a product for review (PCMag Reviews team)
PCMag tests hardware, software/SaaS, consumer electronics and mobile products in PC Labs and invites companies to pitch products for potential review coverage. Its masthead explains who covers what and how to pitch.
Email the editor or writer who covers the product category, using the email addresses linked on the PCMag masthead (https://www.pcmag.com/about/pcmag-staff), or email the Reviews team at [email protected] if you are not sure whom to contact.
PCMag says it cannot guarantee editorial coverage or inclusion in any story and does not accept unsolicited content or link requests. There are no paid reviews. PCMag will sign and honor embargoes, which set the timing of coverage but not its scope or perspective; it does not accept preconditions or let vendors preview reviews before publication. Loaned hardware remains the vendor's property and is typically returned within 90 days (or earlier at the vendor's request); evaluation software is not distributed beyond the editorial team.
PCMag’s own page
Checked against PCMag’s own pages on 2026-10-06.
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 PCMag 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.
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 4 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.