Publication intelligence · Machine Relations Index
Does being published in beri.net get your brand cited by AI?
AI answer engines cited beri.net in 7 of 30,766 measured answer runs (under 0.1%), on 2 of the 6 answer engines the Index measures, over 161 days of collection. It sits below the Index's evidence floor for a published rank, so its standing is still collecting.
Which AI engines cite beri.net
Of the 6 answer engines the Machine Relations Index measures, ChatGPT and Claude have cited beri.net. Gemini, Google AI Mode, Google AI Overviews and Perplexity have not cited it in a measured answer run yet. It was cited on 5 of the 161 days the Index collected answers in this window.
Where beri.net 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 |
|---|---|---|---|---|
| AI Infrastructure | problem-first questions | 0.8% | 2 / 247 | #120 of 440 |
| Healthcare Services | is-it-worth-it questions | 1.6% | 3 / 187 | #86 of 311 |
| AI Infrastructure | top-list questions | 0.4% | 1 / 228 | #222 of 403 |
| AI Infrastructure | is-it-worth-it questions | 0.4% | 1 / 247 | #223 of 393 |
Is a placement here worth pursuing?
Getting into beri.net and becoming known for the right thing are different results. Coverage helps your position in AI answers when the article ties your company to a specific claim your buyers ask about, in a publication engines already cite on that question. The Index sees beri.net cited most on problem-first questions in AI Infrastructure (#120 of 440 sources cited on those answers), so that is where its standing is relevant.
You can pursue it yourself: find the editor or writer who covers your topic in beri.net's recent bylines and pitch one specific, sourced angle. Either way, settle first what you want to be known for, and make the piece say it in terms specific enough for an engine to attach to your company; a general category explainer rarely does that.
An agency is worth it when you want several pieces to build one position rather than land a single article, or when you lack the time, the editor contacts or the writing to make each piece say the right thing. AuthorityTech, which publishes this page, is that kind of agency: it works out the narrative with you, picks the angle and the outlets already cited on your buyers' questions, writes the content, pitches and places it, and measures what AI engines cite afterwards, the practice it calls Machine Relations. No one can promise what an AI engine will cite, and nothing here implies beri.net endorses AuthorityTech.
How this is measured
Every citation 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. The Machine Relations Index is published by Machine Relations Research on machinerelations.ai, which AuthorityTech owns and operates. This release covers 2026-05-10 to 2026-10-24, 161 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 2026-10-24, methodology mri_score_v2.1. The Index’s own profile of beri.net: beri.net in the Machine Relations Index.