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

# Kertos.io in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/kertos.io
Canonical domain: kertos.io
Source role: Other observed source
Release mri_score_v2.1+2026-11-02+f9aaeca0db15; methodology mri_score_v2.1; generated 2026-11-02; window 2026-05-10 to 2026-11-02; artifact 4244052432d3.

kertos.io appeared as a cited source in 4 of 35,111 monitored answer runs (0.01%) from 2026-05-10 to 2026-11-02.

## How the Site Describes Itself

> Kertos automatisiert DSGVO, ISO 27001, ISO 42001, TISAX®, SOC 2, EU AI Act, C5 und NIS2, mit zertifizierten Expert*innen an Ihrer Seite. 300+ Integrationen, rund 80 % weniger Aufwand.

kertos.io describes itself this way in the description tag on its homepage, read on October 26, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.01%
- Cited runs: 4 of 35,111
- Days cited: 3 of 170
- Engine breadth: 2 observed engines (claude, perplexity)
- Confidence: Collecting
- Standing: collecting · 0.01% across 4/35,111 observed runs

## 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) | [Is it worth it](https://machinerelations.ai/index/categories/ai-security-privacy/is_x_worth) | published | 3 | 294 | 13 | 1.02% | #125 of 527 |
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Top lists](https://machinerelations.ai/index/categories/ai-security-privacy/top_list) | published | 1 | 275 | 13 | 0.36% | #348 of 472 |

## Citation History

kertos.io was first cited in a monitored answer run on September 27, 2026, and most recently on October 18, 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 | 2 | 4,971 | 0.04% |
| October 2026 | 2 | 16,496 | 0.01% |
| November 2026 (to 2026-11-02) | 0 | 628 | 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 |
|---|---:|---:|---:|
| [Claude](https://machinerelations.ai/index/engines/claude) | 3 | 8,285 | 0.04% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 1 | 8,365 | 0.01% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 8,247 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,883 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,064 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,267 | 0.00% |

## Peers

Kertos.io holds its best segment rank, #125 of 527, in AI Security & Privacy / Is it worth it, at 1.02%. 36 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-security-privacy/is_x_worth

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #93 of 527 | [Decryption Digest](https://machinerelations.ai/index/domains/decryptiondigest.com) | Other observed source | 1.36% | +0.34 pts |
| #94 of 527 | [Finos.org](https://machinerelations.ai/index/domains/finos.org) | Community and social platform | 1.36% | +0.34 pts |
| #95 of 527 | [Infomineo.com](https://machinerelations.ai/index/domains/infomineo.com) | Other observed source | 1.36% | +0.34 pts |
| #121 of 527 | [Groundlabs.com](https://machinerelations.ai/index/domains/groundlabs.com) | Other observed source | 1.02% | Same rate |
| #126 of 527 | [Logiciel.io](https://machinerelations.ai/index/domains/logiciel.io) | Other observed source | 1.02% | Same rate |
| #186 of 527 | [Immuta.com](https://machinerelations.ai/index/domains/immuta.com) | Other observed source | 0.68% | -0.34 pts |
| #187 of 527 | [Intutic.ai](https://machinerelations.ai/index/domains/intutic.ai) | Other observed source | 0.68% | -0.34 pts |
| #188 of 527 | [Ipfire.org](https://machinerelations.ai/index/domains/ipfire.org) | Other observed source | 0.68% | -0.34 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Kertos.io (kertos.io), 0.01% citation rate, 4 of 35,111 monitored answer runs, 2026-05-10 to 2026-11-02. Release mri_score_v2.1+2026-11-02+f9aaeca0db15. https://machinerelations.ai/index/domains/kertos.io. CC BY 4.0.

APA

Parrott, J. (2026). Kertos.io (kertos.io) in the Machine Relations Index (Version mri_score_v2.1+2026-11-02+f9aaeca0db15) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/kertos.io https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrikertosio,
  author = {Parrott, Jaxon},
  title = {Kertos.io (kertos.io) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-02+f9aaeca0db15},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/kertos.io},
  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/kertos.io/badge.svg

[![Kertos.io in the Machine Relations Index: 0.01% cited in monitored answer runs, 4 of 35,111 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/kertos.io/badge.svg)](https://machinerelations.ai/index/domains/kertos.io)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile, and the alt text says what the badge shows.

## 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)