# Everydayhomecomfort.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/everydayhomecomfort.com
Canonical domain: everydayhomecomfort.com
Source role: Other observed source
Release mri_score_v2.1+2026-10-27+06e001ee9f9a; methodology mri_score_v2.1; generated 2026-10-27; window 2026-05-10 to 2026-10-27; artifact 9964b4936fa2.

everydayhomecomfort.com appeared as a cited source in 17 of 32,187 monitored answer runs (0.05%) from 2026-05-10 to 2026-10-27.

## How the Site Describes Itself

> Discover top-rated floor care equipment, air purifiers, and smart home devices. Compare features and choose the best solutions for your home.

everydayhomecomfort.com describes itself this way in the description tag on its homepage, read on October 21, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

## Overall Evidence

- Citation rate: 0.05%
- Cited runs: 17 of 32,187
- Days cited: 8 of 164
- Engine breadth: 3 observed engines (claude, google_ai_overviews, perplexity)
- Confidence: Collecting
- Standing: collecting · 0.05% across 17/32,187 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [Physical Consumer Products](https://machinerelations.ai/index/categories/physical-consumer) | [Best tools](https://machinerelations.ai/index/categories/physical-consumer/best_x) | published | 9 | 98 | 7 | 9.18% | #6 of 204 |
| [Physical Consumer Products](https://machinerelations.ai/index/categories/physical-consumer) | [How buyers choose](https://machinerelations.ai/index/categories/physical-consumer/how_choose) | published | 4 | 99 | 7 | 4.04% | #35 of 165 |
| [Physical Consumer Products](https://machinerelations.ai/index/categories/physical-consumer) | [Is it worth it](https://machinerelations.ai/index/categories/physical-consumer/is_x_worth) | published | 4 | 98 | 7 | 4.08% | #25 of 151 |

## Citation History

everydayhomecomfort.com was first cited in a monitored answer run on October 12, 2026, and most recently on October 27, 2026, with cited runs in 1 of the 1 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 (to 2026-10-27) | 17 | 14,200 | 0.12% |

## 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) | 14 | 7,433 | 0.19% |
| [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 7,513 | 0.03% |
| [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 1 | 1,200 | 0.08% |
| [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 7,400 | 0.00% |
| [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,711 | 0.00% |
| [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 1,930 | 0.00% |

## Peers

Everydayhomecomfort.com holds its best segment rank, #6 of 204, in Physical Consumer Products / Best tools, at 9.18%. 3 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/physical-consumer/best_x

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #1 of 204 | [Tom's Guide](https://machinerelations.ai/index/domains/tomsguide.com) | Editorial publication | 22.45% | +13.27 pts |
| #3 of 204 | [Forbes](https://machinerelations.ai/index/domains/forbes.com) | Editorial publication | 17.35% | +8.17 pts |
| #4 of 204 | [TechRadar](https://machinerelations.ai/index/domains/techradar.com) | Editorial publication | 13.27% | +4.09 pts |
| #5 of 204 | [Yahoo News](https://machinerelations.ai/index/domains/yahoo.com) | Editorial publication | 13.27% | +4.09 pts |
| #7 of 204 | [Mattressnerd.com](https://machinerelations.ai/index/domains/mattressnerd.com) | Other observed source | 9.18% | Same rate |
| #9 of 204 | [Homesandgardens.com](https://machinerelations.ai/index/domains/homesandgardens.com) | Other observed source | 8.16% | -1.02 pts |
| #10 of 204 | [Consumer Reports](https://machinerelations.ai/index/domains/consumerreports.org) | Editorial publication | 7.14% | -2.04 pts |
| #11 of 204 | [Narwal.com](https://machinerelations.ai/index/domains/narwal.com) | Other observed source | 7.14% | -2.04 pts |

## Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Everydayhomecomfort.com (everydayhomecomfort.com), 0.05% citation rate, 17 of 32,187 monitored answer runs, 2026-05-10 to 2026-10-27. Release mri_score_v2.1+2026-10-27+06e001ee9f9a. https://machinerelations.ai/index/domains/everydayhomecomfort.com. CC BY 4.0.

APA

Parrott, J. (2026). Everydayhomecomfort.com (everydayhomecomfort.com) in the Machine Relations Index (Version mri_score_v2.1+2026-10-27+06e001ee9f9a) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/everydayhomecomfort.com https://doi.org/10.5281/zenodo.23652423

BibTeX

```bibtex
@misc{parrott2026mrieverydayhomecomfortcom,
  author = {Parrott, Jaxon},
  title = {Everydayhomecomfort.com (everydayhomecomfort.com) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-10-27+06e001ee9f9a},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/everydayhomecomfort.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/everydayhomecomfort.com/badge.svg

[![Everydayhomecomfort.com in the Machine Relations Index: 0.05% cited in monitored answer runs, 17 of 32,187 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/everydayhomecomfort.com/badge.svg)](https://machinerelations.ai/index/domains/everydayhomecomfort.com)

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)