---
title: "oriele.ai in the Machine Relations Index"
description: "Canonical domain: oriele.ai"
canonical: "https://machinerelations.ai/index/domains/oriele.ai"
---

# oriele.ai in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/oriele.ai
Canonical domain: oriele.ai
Source role: Other observed source
Release mri_score_v2.1+2026-11-06+4a9cac5e2d8d; methodology mri_score_v2.1; generated 2026-11-06; window 2026-05-10 to 2026-11-06; artifact ccf757103126.

oriele.ai appeared as a cited source in 1 of 36,708 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-06.

## Overall Evidence

- Citation rate: under 0.01%
- Cited runs: 1 of 36,708
- Days cited: 1 of 174
- Engine breadth: 1 observed engine (google_ai_overviews)
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [Sales, GTM & CRM](https://machinerelations.ai/index/categories/sales-gtm-crm) | [Top lists](https://machinerelations.ai/index/categories/sales-gtm-crm/top_list) | published | 1 | 122 | 7 | 0.82% | #171 of 208 |

## Citation Record

oriele.ai has been cited in one monitored answer run, on October 30, 2026, by Google AI Overviews, in answers to Sales, GTM & CRM / Top lists questions. Other sources cited for Sales, GTM & CRM questions: https://machinerelations.ai/index/categories/sales-gtm-crm

## Peers

oriele.ai holds its best segment rank, #171 of 208, in Sales, GTM & CRM / Top lists, at 0.82%. 76 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/sales-gtm-crm/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #111 of 208 | [listicler.com](https://machinerelations.ai/index/domains/listicler.com) | Vendor-owned source | 1.64% | +0.82 pts |
| #112 of 208 | [manyreach.com](https://machinerelations.ai/index/domains/manyreach.com) | Other observed source | 1.64% | +0.82 pts |
| #113 of 208 | [mapsleads.co](https://machinerelations.ai/index/domains/mapsleads.co) | Other observed source | 1.64% | +0.82 pts |
| #114 of 208 | [mindtickle.com](https://machinerelations.ai/index/domains/mindtickle.com) | Other observed source | 1.64% | +0.82 pts |
| #115 of 208 | [nektar.ai](https://machinerelations.ai/index/domains/nektar.ai) | Other observed source | 1.64% | +0.82 pts |
| #116 of 208 | [prolifiq.com](https://machinerelations.ai/index/domains/prolifiq.com) | Other observed source | 1.64% | +0.82 pts |
| #169 of 208 | [mailshake.com](https://machinerelations.ai/index/domains/mailshake.com) | Other observed source | 0.82% | Same rate |
| #173 of 208 | [PA Media](https://machinerelations.ai/index/domains/pa.media) | Editorial publication | 0.82% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. oriele.ai, under 0.01% citation rate, 1 of 36,708 monitored answer runs, 2026-05-10 to 2026-11-06. Release mri_score_v2.1+2026-11-06+4a9cac5e2d8d. https://machinerelations.ai/index/domains/oriele.ai. CC BY 4.0.

APA

Parrott, J. (2026). oriele.ai in the Machine Relations Index (Version mri_score_v2.1+2026-11-06+4a9cac5e2d8d) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/oriele.ai https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriorieleai,
  author = {Parrott, Jaxon},
  title = {oriele.ai in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-06+4a9cac5e2d8d},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/oriele.ai},
  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/oriele.ai/badge.svg

[![oriele.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 36,708 runs), Nov 6, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/oriele.ai/badge.svg)](https://machinerelations.ai/index/domains/oriele.ai)

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)