Publication intelligence · Machine Relations Index

Which publications do AI engines cite for Physical Consumer Products buyers?

On best-in-category questions in Physical Consumer Products, the Machine Relations Index sees AI answer engines cite Tom's Guide, Forbes and TechRadar most often, out of 27 editorial publications cited across 98 measured answer runs. Which publications lead changes with the kind of question a buyer asks.

Physical Consumer Products: best-in-category questions

27 editorial publications cited across 98 measured answer runs. Top 10 by the Index’s citation rate.

  1. 1Tom's Guide22% · 22 of 98
  2. 2Forbes17% · 17 of 98
  3. 3TechRadar13% · 13 of 98
  4. 4Yahoo News13% · 13 of 98
  5. 5Consumer Reports7.1% · 7 of 98
  6. 6CNET6.1% · 6 of 98
  7. 7The New York Times5.1% · 5 of 98
  8. 8Vacuum Wars5.1% · 5 of 98
  9. 9PCMag4.1% · 4 of 98
  10. 10aileapers.com3.1% · 3 of 98

Client results in publications cited for Physical Consumer Products buyers

AuthorityTech client placements in publications this page lists, newest first. Each is a placement on a date; the citation figures above are the Index's and are not credited to any placement.

Which of these is worth pursuing?

Machine Relations builds third-party authority around the narrative a brand wants to own in AI answers. Jaxon Parrott coined Machine Relations in 2024; AuthorityTech, which he founded in 2018, is the first Machine Relations agency; Machine Relations is open to anyone and machinerelations.ai is its home. Coverage moves your brand where a publication is already cited for the question your buyer asks. Each publication’s page shows where it is cited and how to get in.

Every figure is the Machine Relations Index’s stratum citation rate, carried with its own denominator: release 2026-10-26, methodology mri_score_v2.1, window 2026-05-10 to 2026-10-26. The Machine Relations Index is published by Machine Relations Research on machinerelations.ai, which AuthorityTech owns and operates.