# Bloomberglaw.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/bloomberglaw.com
Canonical domain: bloomberglaw.com
Source role: Editorial publication
Release mri_score_v2.0+2026-09-18+8fa38e54dd0a; methodology mri_score_v2.0; generated 2026-09-18; window 2026-05-10 to 2026-09-18; artifact 8fa38e54dd0a.

bloomberglaw.com appeared as a cited source in 33 of 15,782 monitored answer runs (0.21%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.21%
- Cited runs: 33 of 15,782
- Days cited: 19 of 125
- Engine breadth: 5 observed engines (claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence C
- Standing: #86 of 1222 classified editorial publications

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Problem-first research](https://machinerelations.ai/index/categories/ai-security-privacy/problem_first) | published | 1 | 106 | 7 | 0.94% | Unavailable | #122 of 272 |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 4 | 608 | 53 | 0.66% | Unavailable | #257 of 1,249 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 28 | 2,138 | 54 | 1.31% | Unavailable | #80 of 4,025 |

## Citation

Bloomberglaw.com (bloomberglaw.com), 0.21% citation rate, 33 of 15,782 monitored answer runs, 2026-05-10 to 2026-09-18, mri_score_v2.0, mri_score_v2.0+2026-09-18+8fa38e54dd0a, https://machinerelations.ai/index/domains/bloomberglaw.com.

## Public Boundary

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.