---
title: "Tech Bullion: AI citation standing"
description: "AI answer engines cited Tech Bullion in 18 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/tech-bullion
---

# Tech Bullion: AI citation standing

AI answer engines cited Tech Bullion in 18 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/tech-bullion
Publication: Tech Bullion (techbullion.com)
Source: Machine Relations Index, release 2026-10-06

## AI citation standing
- Citation rate: 0.1% of measured answer runs
- Answer runs citing it: 18 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 Tech Bullion is cited most
| Category | Question shape | Citation rate | Cited / observed | Rank |
| --- | --- | --- | --- | --- |
| [Fintech](https://authoritytech.io/publications/fintech-buyers.md) | news and topic questions | 0.7% | 4 / 616 | #315 of 1,528 |
| [Cybersecurity](https://authoritytech.io/publications/cybersecurity-buyers.md) | head-to-head comparisons | 1.8% | 3 / 167 | #92 of 242 |
| Martech & Advertising | news and topic questions | 0.3% | 2 / 602 | #508 of 1,243 |
| [Enterprise Software](https://authoritytech.io/publications/enterprise-software-buyers.md) | problem-first questions | 1.5% | 2 / 136 | #129 of 313 |
| [HR & Talent](https://authoritytech.io/publications/hr-talent-buyers.md) | best-in-category questions | 2.2% | 3 / 137 | #96 of 208 |
| [Enterprise Software](https://authoritytech.io/publications/enterprise-software-buyers.md) | news and topic questions | 0.2% | 1 / 596 | #1,221 of 1,371 |
| [Family Software](https://authoritytech.io/publications/family-software-buyers.md) | top-list questions | 0.7% | 1 / 138 | #213 of 227 |
| [Fintech](https://authoritytech.io/publications/fintech-buyers.md) | how-to-choose questions | 0.8% | 1 / 132 | #214 of 228 |
## Client results in Tech Bullion
- [Compliance Made Zero Trust a Small-Company Problem. A Tech Bullion Feature Maps How the Tooling Caught Up.](https://authoritytech.io/results/openvpn-tech-bullion-smb-zero-trust-compliance-tooling-shift.md) (OpenVPN, 2026-08-11)
- [Lightfield in Tech Bullion: AI CRM Market Analysis](https://authoritytech.io/results/lightfield-tech-bullion-category-ai-crm-market-analysis.md) (Lightfield, 2026-05-10)
## 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 Tech Bullion 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)