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

# contentmarketing.ai in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/contentmarketing.ai
Canonical domain: contentmarketing.ai
Source role: Vendor-owned source
Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f; methodology mri_score_v2.1; generated 2026-11-08; window 2026-05-10 to 2026-11-08; artifact 4053956b43bb.

contentmarketing.ai appeared as a cited source in 1 of 37,536 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-08.

## How the Site Describes Itself

> contentmarketing.ai is built for marketers who want to take their content marketing to the next level. Pre-register today to learn more.

contentmarketing.ai describes itself this way in the description tag on its homepage, read on September 22, 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: 1 of 37,536
- Days cited: 1 of 176
- Engine breadth: 1 observed engine (gemini)
- 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 Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Top lists](https://machinerelations.ai/index/categories/ai-visibility-geo/top_list) | published | 1 | 265 | 14 | 0.38% | #518 of 894 |

## Citation Record

contentmarketing.ai has been cited in one monitored answer run, on October 3, 2026, by Gemini, in answers to AI Visibility & GEO / Top lists questions. Other sources cited for AI Visibility & GEO questions: https://machinerelations.ai/index/categories/ai-visibility-geo

## Peers

contentmarketing.ai holds its best segment rank, #518 of 894, in AI Visibility & GEO / Top lists, at 0.38%. 492 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/ai-visibility-geo/top_list

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #275 of 894 | [foglift.io](https://machinerelations.ai/index/domains/foglift.io) | Other observed source | 0.75% | +0.37 pts |
| #276 of 894 | [fueler.io](https://machinerelations.ai/index/domains/fueler.io) | Other observed source | 0.75% | +0.37 pts |
| #277 of 894 | [gartner.com](https://machinerelations.ai/index/domains/gartner.com) | Analyst and consulting research | 0.75% | +0.37 pts |
| #278 of 894 | [genengineoptimizers.com](https://machinerelations.ai/index/domains/genengineoptimizers.com) | Other observed source | 0.75% | +0.37 pts |
| #279 of 894 | [genixly.io](https://machinerelations.ai/index/domains/genixly.io) | Other observed source | 0.75% | +0.37 pts |
| #280 of 894 | [get-ryze.ai](https://machinerelations.ai/index/domains/get-ryze.ai) | Other observed source | 0.75% | +0.37 pts |
| #516 of 894 | [connectrankers.com](https://machinerelations.ai/index/domains/connectrankers.com) | Other observed source | 0.38% | Same rate |
| #521 of 894 | [contify.com](https://machinerelations.ai/index/domains/contify.com) | Other observed source | 0.38% | Same rate |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. contentmarketing.ai, under 0.01% citation rate, 1 of 37,536 monitored answer runs, 2026-05-10 to 2026-11-08. Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f. https://machinerelations.ai/index/domains/contentmarketing.ai. CC BY 4.0.

APA

Parrott, J. (2026). contentmarketing.ai in the Machine Relations Index (Version mri_score_v2.1+2026-11-08+0f28d6fa6d4f) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/contentmarketing.ai https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mricontentmarketingai,
  author = {Parrott, Jaxon},
  title = {contentmarketing.ai in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-08+0f28d6fa6d4f},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/contentmarketing.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/contentmarketing.ai/badge.svg

[![contentmarketing.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,536 runs), Nov 8, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/contentmarketing.ai/badge.svg)](https://machinerelations.ai/index/domains/contentmarketing.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)