---
title: "evbn.org in the Machine Relations Index"
description: "evbn.org appeared as a cited source in 2 of 39,125 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-13."
canonical: "https://machinerelations.ai/index/domains/evbn.org"
---

# evbn.org in the Machine Relations Index

evbn.org appeared as a cited source in 2 of 39,125 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-13.

Canonical URL: https://machinerelations.ai/index/domains/evbn.org
Canonical domain: evbn.org
Source role: Other observed source
Release mri_score_v2.1+2026-11-13+ac21a4cdb8e7; methodology mri_score_v2.1; generated 2026-11-13; window 2026-05-10 to 2026-11-13; artifact 169859380096.

## How the Site Describes Itself

> The core goal of EVBN is to help European companies, enterprises (SMEs), access the Vietnamese market to do business, and improve the commercial environment.

evbn.org describes itself this way in the description tag on its homepage, read on November 13, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 2 of 39,125
- Days cited: 2 of 181
- Engine breadth: 1 observed engine (chatgpt)
- Confidence: Collecting
- Standing: Collecting: no rank until it clears the evidence floor

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Consumer Finance](https://machinerelations.ai/index/categories/consumer-finance) | [Top lists](https://machinerelations.ai/index/categories/consumer-finance/top_list) | published | 2 | 318 | 14 | 0.63% | #173 of 372 |

## Citation History

evbn.org was first cited in a monitored answer run on October 20, 2026, and most recently on November 13, 2026, with cited runs in each of the 2 months from then to this release. The release window opens 2026-05-10, so an earlier citation would not show here.

A month's rate is the share of all monitored answer runs that month that cited this domain. The latest month is still collecting.

| Month | Cited runs | Observed runs | Rate |
|---|---:|---:|---:|
| October 2026 | 1 | 16,496 | 0.01% |
| November 2026 (to 2026-11-13) | 1 | 4,642 | 0.02% |

## By Answer Engine

An engine's rate is its cited runs over every monitored run that engine answered in the window. Engines answer different numbers of runs, so compare rates, not counts.

| Engine | Cited runs | Engine's observed runs | Rate |
|---|---:|---:|---:|
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 2 | 9,319 | 0.02% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 9,268 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 7,508 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,224 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,367 | 0.00% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 0 | 9,439 | 0.00% |

Since August 31, 2026, evbn.org is cited in none of 1,018 observed Google AI Mode runs. Google AI Mode's collection changed between August 10, 2026 and August 30, 2026, so its row above pools both sides of the change.

Since October 7, 2026, evbn.org is cited in none of 4,670 observed Perplexity runs. Perplexity's collection changed between October 6, 2026 and October 7, 2026, so its row above pools both sides of the change.

## Peers

evbn.org holds its best segment rank, #173 of 372, in Consumer Finance / Top lists, at 0.63%. 53 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Leaderboard: https://machinerelations.ai/index/categories/consumer-finance/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #131 of 372 | [contentvibee.com](https://machinerelations.ai/index/domains/contentvibee.com) | Other observed source | 0.94% | +0.31 pts |
| #132 of 372 | [Financial IT](https://machinerelations.ai/index/domains/financialit.net) | Editorial publication | 0.94% | +0.31 pts |
| #133 of 372 | [financialsamurai.com](https://machinerelations.ai/index/domains/financialsamurai.com) | Other observed source | 0.94% | +0.31 pts |
| #171 of 372 | [elifesciences.org](https://machinerelations.ai/index/domains/elifesciences.org) | Other observed source | 0.63% | Same rate |
| #176 of 372 | [finatune.com](https://machinerelations.ai/index/domains/finatune.com) | Other observed source | 0.63% | Same rate |
| #246 of 372 | [credizen.net](https://machinerelations.ai/index/domains/credizen.net) | Other observed source | 0.31% | -0.32 pts |
| #247 of 372 | [crescentcitydentists.com](https://machinerelations.ai/index/domains/crescentcitydentists.com) | Other observed source | 0.31% | -0.32 pts |
| #248 of 372 | [debt.com](https://machinerelations.ai/index/domains/debt.com) | Other observed source | 0.31% | -0.32 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. evbn.org, under 0.01% citation rate, 2 of 39,125 monitored answer runs, 2026-05-10 to 2026-11-13. Release mri_score_v2.1+2026-11-13+ac21a4cdb8e7. CC BY 4.0. https://machinerelations.ai/index/domains/evbn.org

APA

Parrott, J. (2026). evbn.org in the Machine Relations Index (Version mri_score_v2.1+2026-11-13+ac21a4cdb8e7) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/evbn.org https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrievbnorg,
  author = {Parrott, Jaxon},
  title = {evbn.org in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-13+ac21a4cdb8e7},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/evbn.org},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}
```

DOI: https://doi.org/10.5281/zenodo.23652423

Citation file: https://machinerelations.ai/CITATION.cff

## Badge

Badge image: https://machinerelations.ai/index/domains/evbn.org/badge.svg

[![evbn.org in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 39,125 runs), Nov 13, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/evbn.org/badge.svg)](https://machinerelations.ai/index/domains/evbn.org)

Put this badge on your site to show how often AI answers cite it. It links to this profile and updates with every new release; if a later release no longer includes this domain, the badge stops loading. To keep today's numbers fixed, save the SVG and host it yourself.

## Use the data

The public JSON is https://machinerelations.ai/data/machine-relations-index.json. The release manifest is https://machinerelations.ai/data/mri-release-manifest.json. The domain CSV is https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv. The Zenodo concept DOI is https://doi.org/10.5281/zenodo.23652423.

```bash
curl -fsSL "https://machinerelations.ai/data/machine-relations-index.json" -o machine-relations-index.json
curl -fsSL "https://machinerelations.ai/data/mri-release-manifest.json" -o mri-release-manifest.json
curl -fsSL "https://huggingface.co/datasets/machine-relations/machine-relations-index/resolve/main/domains.csv" -o domains.csv
curl -fsSL -L "https://doi.org/10.5281/zenodo.23652423" -o mri-zenodo.html
```

```python
import json
from urllib.request import urlopen

index_url = "https://machinerelations.ai/data/machine-relations-index.json"
with urlopen(index_url) as response:
    index = json.load(response)
print(index["generated"], index["total_domains"])
```

## 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)