---
title: "Racing Post in the Machine Relations Index"
description: "racingpost.com appeared as a cited source in 2 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11."
canonical: "https://machinerelations.ai/index/domains/racingpost.com"
---

# Racing Post in the Machine Relations Index

racingpost.com appeared as a cited source in 2 of 38,449 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-11.

Canonical URL: https://machinerelations.ai/index/domains/racingpost.com
Canonical domain: racingpost.com
Source role: Editorial publication
Release mri_score_v2.1+2026-11-11+d52a5886914e; methodology mri_score_v2.1; generated 2026-11-11; window 2026-05-10 to 2026-11-11; artifact fecc44142bec.

## How the Site Describes Itself

> Racing Post, the home of horse racing news, cards and results. Get expert racing tips, form and analysis. Explore our jockey, trainer, and horse profiles.

racingpost.com describes itself this way in the description tag on its homepage, read on October 28, 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 38,449
- Days cited: 2 of 179
- Engine breadth: 1 observed engine (perplexity)
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [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 | 277 | 13 | 0.36% | #415 of 513 |
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Problem-first research](https://machinerelations.ai/index/categories/igaming-betting/problem_first) | published | 1 | 220 | 12 | 0.45% | #364 of 422 |

## Citation History

racingpost.com was first cited in a monitored answer run on September 30, 2026, and most recently on October 4, 2026, with cited runs in 2 of the 3 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 |
|---|---:|---:|---:|
| September 2026 | 1 | 4,971 | 0.02% |
| October 2026 | 1 | 16,496 | 0.01% |
| November 2026 (to 2026-11-11) | 0 | 3,966 | 0.00% |

## 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 |
|---|---:|---:|---:|
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 9,257 | 0.02% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 9,137 | 0.00% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 9,177 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 7,326 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,198 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,354 | 0.00% |

Since August 31, 2026, Racing Post is cited in none of 992 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, Racing Post is cited in none of 4,488 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

Racing Post holds its best segment rank, #364 of 422, in iGaming & Betting / Problem-first research, at 0.45%. 241 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/igaming-betting/problem_first

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #161 of 422 | [smler.io](https://machinerelations.ai/index/domains/smler.io) | Other observed source | 0.91% | +0.46 pts |
| #162 of 422 | [solidgate.com](https://machinerelations.ai/index/domains/solidgate.com) | Vendor-owned source | 0.91% | +0.46 pts |
| #163 of 422 | [staysafeonline.org](https://machinerelations.ai/index/domains/staysafeonline.org) | Other observed source | 0.91% | +0.46 pts |
| #164 of 422 | [substack.com](https://machinerelations.ai/index/domains/substack.com) | Community and social platform | 0.91% | +0.46 pts |
| #165 of 422 | [sychov-igaming.com](https://machinerelations.ai/index/domains/sychov-igaming.com) | Other observed source | 0.91% | +0.46 pts |
| #166 of 422 | [synergyim.com](https://machinerelations.ai/index/domains/synergyim.com) | Other observed source | 0.91% | +0.46 pts |
| #363 of 422 | [qut.edu.au](https://machinerelations.ai/index/domains/qut.edu.au) | Other observed source | 0.45% | Same rate |
| #366 of 422 | [rebelbetting.com](https://machinerelations.ai/index/domains/rebelbetting.com) | Other observed source | 0.45% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Racing Post (racingpost.com), under 0.01% citation rate, 2 of 38,449 monitored answer runs, 2026-05-10 to 2026-11-11. Release mri_score_v2.1+2026-11-11+d52a5886914e. CC BY 4.0. https://machinerelations.ai/index/domains/racingpost.com

APA

Parrott, J. (2026). Racing Post (racingpost.com) in the Machine Relations Index (Version mri_score_v2.1+2026-11-11+d52a5886914e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/racingpost.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mriracingpostcom,
  author = {Parrott, Jaxon},
  title = {Racing Post (racingpost.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-11+d52a5886914e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/racingpost.com},
  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/racingpost.com/badge.svg

[![Racing Post in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 38,449 runs), Nov 11, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/racingpost.com/badge.svg)](https://machinerelations.ai/index/domains/racingpost.com)

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)
- [Racing Post on AuthorityTech's publication intelligence](https://authoritytech.io/publications/racingpost) — part of the AuthorityTech publication intelligence projection. Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.
- [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.