---
title: "ZDNET: AI citation standing"
description: "AI answer engines cited ZDNET in 27 of 21,813 measured answer runs (0.1%) across 3 engines over 143 days of collection. It sits below the Index's evidence floor for a published rank, so its standing is still collecting."
canonical: https://authoritytech.io/publications/zdnet
---

# ZDNET: AI citation standing

AI answer engines cited ZDNET in 27 of 21,813 measured answer runs (0.1%) across 3 engines over 143 days of collection. It sits below the Index's evidence floor for a published rank, so its standing is still collecting.

Canonical URL: https://authoritytech.io/publications/zdnet
Publication: ZDNET (zdnet.com)
Source: Machine Relations Index, release 2026-10-06

## AI citation standing
- Citation rate: 0.1% of measured answer runs
- Answer runs citing it: 27 of 21,813 observed
- Answer engines measured: 3
- Collection dates: 143
- Rank: below the Index's evidence floor for a published rank; still collecting
## Where ZDNET is cited most
| Category | Question shape | Citation rate | Cited / observed | Rank |
| --- | --- | --- | --- | --- |
| [Cybersecurity](https://authoritytech.io/publications/cybersecurity-buyers.md) | best-in-category questions | 3.7% | 5 / 134 | #56 of 268 |
| [Family Software](https://authoritytech.io/publications/family-software-buyers.md) | best-in-category questions | 4.2% | 6 / 143 | #37 of 158 |
| [Education & Training](https://authoritytech.io/publications/education-training-buyers.md) | best-in-category questions | 2.9% | 4 / 136 | #81 of 299 |
| Legacy News Topics | news and topic questions | 0.1% | 3 / 2,138 | #1,306 of 4,017 |
| [Enterprise Software](https://authoritytech.io/publications/enterprise-software-buyers.md) | best-in-category questions | 2.3% | 3 / 131 | #93 of 218 |
| [Family Software](https://authoritytech.io/publications/family-software-buyers.md) | is-it-worth-it questions | 1.5% | 2 / 130 | #86 of 162 |
| [Family Software](https://authoritytech.io/publications/family-software-buyers.md) | how-to-choose questions | 0.8% | 1 / 134 | #187 of 187 |
| [Education & Training](https://authoritytech.io/publications/education-training-buyers.md) | is-it-worth-it questions | 0.8% | 1 / 130 | #238 of 238 |
## How to get into ZDNET
- **Press inquiries**: The only general editorial contact ZDNET publishes for the press. The page labels it 'for press inquiries' and does not say whether it is meant for press releases, story pitches or questions about ZDNET itself. Email press@zdnet.com, as listed on the Editorial Guidelines page. not stated Official page: https://www.zdnet.com/editorial-guidelines/
- **Product consideration for reviews and 'best of' lists**: ZDNET's reviewers test hundreds of products a year and write only about the ones they recommend. Its testing explainer says candidates for comparative 'best of' lists come from obvious category leaders, reader requests and category buzz, and 'sometimes (but not always)' from vendors who bring a relevant product to the team's attention when it fits the category. No submission form or address for products is published. The testing explainer describes vendors pitching reviewers directly and ZDNET arranging product access with vendors. Reviews require hands-on, real-world testing; benchmark results from press releases are not used in reviews. Vendors do not see reviews before publication and have no influence over them. Products that do not fit a list's criteria (for example, paid courses for a free-courses list) are not included. ZDNET states it has editorial independence from advertisers and the companies whose products it covers. Official page: https://www.zdnet.com/article/how-we-test-ai-at-zdnet/
Checked against ZDNET'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. Coverage in ZDNET 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.
## How this is measured
Every figure is the Machine Relations Index's, carried with its own denominator. AuthorityTech does not compute them. Release 2026-10-06, methodology mri_score_v2.0.
Window: 2026-05-10 to 2026-10-06, 143 days of collection.
Evidence floor for a published rank: 10 observations across 7 collection dates.

## Links

- [All ranked publications](https://authoritytech.io/publications.md)
- [Machine Relations Index](https://machinerelations.ai/machine-relations-index)
- [Which agency gets brands cited by AI through earned media](https://authoritytech.io/blog/best-ai-pr-agencies-2026.md)
- [What is Machine Relations](https://machinerelations.ai/glossary/machine-relations)