1 cited runs of 31,659 observed answer runs.
Source domain profile · Other observed source
Citedby.in in the Machine Relations Index
citedby.in appeared as a cited source in 1 of 31,659 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-26.
Days cited and days observed in the current release window.
ChatGPT. This is an observed-engine list, not a per-engine rate.
MRI confidence is not an Answer-Source Fidelity grade.
Standing
Population ranks from the public release
- Public standing
- collecting · 0.00% across 1/31,659 observed runs
- Full universe
- Producer rank unavailable
- Source role population
- Producer rank unavailable
- Evidence-qualified source role
- Producer rank unavailable
Segment evidence
Observed category and question-shape rows
Segment rates use the exact category/question-shape denominator. Collecting rows show sample progress only; null or missing rates are not rendered as 0%.
| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Rank population | Badge |
|---|---|---|---|---|---|---|---|---|
| AI Visibility & GEO | Is it worth it | Published | 1 | 284 | 12 | 0.35% | #395 of 684 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
citedby.in has been cited in one monitored answer run, on October 4, 2026, by ChatGPT, in answers to AI Visibility & GEO / Is it worth it questions. Other sources cited for AI Visibility & GEO questions are on the AI Visibility & GEO sources page.
Peers
Nearest sources on AI Visibility & GEO / Is it worth it
Citedby.in holds its best segment rank, #395 of 684, in AI Visibility & GEO / Is it worth it, at 0.35%. 363 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. Full leaderboard.
| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---|---|
| #221 of 684 | Business Insider | Editorial publication | 0.70% | +0.35 pts |
| #222 of 684 | Campbelldigitalstudio.com | Other observed source | 0.70% | +0.35 pts |
| #223 of 684 | Chad-wyatt.com | Other observed source | 0.70% | +0.35 pts |
| #224 of 684 | Clearscope.io | Other observed source | 0.70% | +0.35 pts |
| #225 of 684 | Cognizo.ai | Other observed source | 0.70% | +0.35 pts |
| #226 of 684 | Conbersa.ai | Other observed source | 0.70% | +0.35 pts |
| #394 of 684 | Citebeam.ai | Other observed source | 0.35% | Same rate |
| #396 of 684 | Citeinai.com | Other observed source | 0.35% | Same rate |
Cite this
Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Citedby.in (citedby.in), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/citedby.in. CC BY 4.0.Parrott, J. (2026). Citedby.in (citedby.in) in the Machine Relations Index (Version mri_score_v2.1+2026-10-26+ff67a630fa8e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/citedby.in https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mricitedbyin,
author = {Parrott, Jaxon},
title = {Citedby.in (citedby.in) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-10-26+ff67a630fa8e},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/citedby.in},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai}
}Release and boundary
What this profile measures
Published October 26, 2026. The observation window runs May 10, 2026 to October 26, 2026. Methodology v2.1.
Use the data
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.htmlimport 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"])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, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.
Embed
Embed this profile’s badge
The link goes to this profile, the alt text is the citation above, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.
HTML
<a href="https://machinerelations.ai/index/domains/citedby.in"><img src="https://machinerelations.ai/index/domains/citedby.in/badge.svg" alt="Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Citedby.in (citedby.in), 0.00% citation rate, 1 of 31,659 monitored answer runs, 2026-05-10 to 2026-10-26. Release mri_score_v2.1+2026-10-26+ff67a630fa8e. https://machinerelations.ai/index/domains/citedby.in. CC BY 4.0." width="476" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/citedby.in)