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

# cognitech.systems in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/cognitech.systems
Canonical domain: cognitech.systems
Source role: Other observed source
Release mri_score_v2.1+2026-11-05+66c560c07279; methodology mri_score_v2.1; generated 2026-11-05; window 2026-05-10 to 2026-11-05; artifact 4577502f254c.

cognitech.systems appeared as a cited source in 2 of 36,189 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-05.

## How the Site Describes Itself

> Bespoke software, AI and IoT engineering from Chester. We support corporate clients and SMEs through digital transformation, from build to handover.

cognitech.systems describes itself this way in the description tag on its homepage, read on November 5, 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 36,189
- Days cited: 2 of 173
- 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 |
|---|---|---|---:|---:|---:|---:|---|
| [AI Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 2 | 298 | 13 | 0.67% | #187 of 448 |

## Citation History

cognitech.systems was first cited in a monitored answer run on October 11, 2026, and most recently on November 1, 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 2026-11-05) | 1 | 1,706 | 0.06% |

## 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 | 8,545 | 0.02% |
| [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 8,583 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,987 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,114 | 0.00% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,297 | 0.00% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 0 | 8,663 | 0.00% |

Since August 31, 2026, cognitech.systems is cited in none of 908 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.

## Peers

cognitech.systems holds its best segment rank, #187 of 448, in AI Security & Privacy / Best tools, at 0.67%. 86 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/best_x

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #140 of 448 | [CIO](https://machinerelations.ai/index/domains/cio.com) | Editorial publication | 1.01% | +0.34 pts |
| #141 of 448 | [claude.com](https://machinerelations.ai/index/domains/claude.com) | Other observed source | 1.01% | +0.34 pts |
| #142 of 448 | [deepread.tech](https://machinerelations.ai/index/domains/deepread.tech) | Other observed source | 1.01% | +0.34 pts |
| #183 of 448 | [clawguard.io](https://machinerelations.ai/index/domains/clawguard.io) | Other observed source | 0.67% | Same rate |
| #191 of 448 | [deltallm.io](https://machinerelations.ai/index/domains/deltallm.io) | Other observed source | 0.67% | Same rate |
| #297 of 448 | [conferbot.com](https://machinerelations.ai/index/domains/conferbot.com) | Other observed source | 0.34% | -0.33 pts |
| #298 of 448 | [cruxdigits.nl](https://machinerelations.ai/index/domains/cruxdigits.nl) | Other observed source | 0.34% | -0.33 pts |
| #299 of 448 | [cshub.com](https://machinerelations.ai/index/domains/cshub.com) | Editorial publication | 0.34% | -0.33 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. cognitech.systems, under 0.01% citation rate, 2 of 36,189 monitored answer runs, 2026-05-10 to 2026-11-05. Release mri_score_v2.1+2026-11-05+66c560c07279. https://machinerelations.ai/index/domains/cognitech.systems. CC BY 4.0.

APA

Parrott, J. (2026). cognitech.systems in the Machine Relations Index (Version mri_score_v2.1+2026-11-05+66c560c07279) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/cognitech.systems https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mricognitechsystems,
  author = {Parrott, Jaxon},
  title = {cognitech.systems in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-05+66c560c07279},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/cognitech.systems},
  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/cognitech.systems/badge.svg

[![cognitech.systems in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 36,189 runs), Nov 5, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/cognitech.systems/badge.svg)](https://machinerelations.ai/index/domains/cognitech.systems)

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)