--- title: "amazon.co.jp in the Machine Relations Index" description: "amazon.co.jp appeared as a cited source in 1 of 39,811 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-15." canonical: "https://machinerelations.ai/index/domains/amazon.co.jp" --- # amazon.co.jp in the Machine Relations Index amazon.co.jp appeared as a cited source in 1 of 39,811 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-15. Canonical URL: https://machinerelations.ai/index/domains/amazon.co.jp Canonical domain: amazon.co.jp Source role: Other observed source Release mri_score_v2.1+2026-11-15+49589518c9ac; methodology mri_score_v2.1; generated 2026-11-15; window 2026-05-10 to 2026-11-15; artifact 2b087b5b13e5. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 39,811 - Days cited: 1 of 183 - Engine breadth: 1 observed engine (perplexity) - 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 | |---|---|---|---:|---:|---:|---:|---| | [Consumer Health](https://machinerelations.ai/index/categories/consumer-health) | [Best tools](https://machinerelations.ai/index/categories/consumer-health/best_x) | published | 1 | 319 | 14 | 0.31% | #258 of 462 | ## Citation Record amazon.co.jp has been cited in one monitored answer run, on October 5, 2026, by Perplexity, in answers to Consumer Health / Best tools questions. Other sources cited for Consumer Health questions: https://machinerelations.ai/index/categories/consumer-health ## Peers amazon.co.jp holds its best segment rank, #258 of 462, in Consumer Health / Best tools, at 0.31%. 214 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/consumer-health/best_x | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #172 of 462 | [ACCESS Newswire](https://machinerelations.ai/index/domains/accessnewswire.com) | Wire and press-release distribution | 0.63% | +0.32 pts | | #173 of 462 | [aileapers.com](https://machinerelations.ai/index/domains/aileapers.com) | Editorial publication | 0.63% | +0.32 pts | | #174 of 462 | [allegro.pl](https://machinerelations.ai/index/domains/allegro.pl) | Other observed source | 0.63% | +0.32 pts | | #175 of 462 | [askmn.ai](https://machinerelations.ai/index/domains/askmn.ai) | Other observed source | 0.63% | +0.32 pts | | #176 of 462 | [australiansportsnutrition.com.au](https://machinerelations.ai/index/domains/australiansportsnutrition.com.au) | Other observed source | 0.63% | +0.32 pts | | #177 of 462 | [BarBend](https://machinerelations.ai/index/domains/barbend.com) | Editorial publication | 0.63% | +0.32 pts | | #257 of 462 | [aliveandwell.health](https://machinerelations.ai/index/domains/aliveandwell.health) | Other observed source | 0.31% | Same rate | | #259 of 462 | [americanpainsociety.org](https://machinerelations.ai/index/domains/americanpainsociety.org) | Other observed source | 0.31% | Same rate | ## Citation Machine Relations Index, Jaxon Parrott — machinerelations.ai. amazon.co.jp, under 0.01% citation rate, 1 of 39,811 monitored answer runs, 2026-05-10 to 2026-11-15. Release mri_score_v2.1+2026-11-15+49589518c9ac. CC BY 4.0. https://machinerelations.ai/index/domains/amazon.co.jp APA Parrott, J. (2026). amazon.co.jp in the Machine Relations Index (Version mri_score_v2.1+2026-11-15+49589518c9ac) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/amazon.co.jp https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriamazoncojp, author = {Parrott, Jaxon}, title = {amazon.co.jp in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-15+49589518c9ac}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/amazon.co.jp}, doi = {10.5281/zenodo.23652423}, license = {CC-BY-4.0}, note = {Machine Relations Index, Jaxon Parrott — 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/amazon.co.jp/badge.svg [![amazon.co.jp in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,811 runs), Nov 15, 2026 release. Machine Relations Index, Jaxon Parrott — machinerelations.ai.](https://machinerelations.ai/index/domains/amazon.co.jp/badge.svg)](https://machinerelations.ai/index/domains/amazon.co.jp) 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)