Datasets:
Tasks:
Text Retrieval
Formats:
csv
Languages:
English
Size:
10K - 100K
Tags:
ai-search
generative-engine-optimization
answer-engine-citations
machine-relations
citation
answer-engines
License:
| { | |
| "title": "Machine Relations Index", | |
| "upload_type": "dataset", | |
| "description": "<p>Machine Relations Index (MRI) by Jaxon Parrott, Machine Relations Research — machinerelations.ai. Publisher: Machine Relations Research. License: <a href=\"https://creativecommons.org/licenses/by/4.0/\">CC BY 4.0</a>.</p><p>Machine Relations (MR) is the discipline of earning AI citations and recommendations for a brand by making that brand legible, retrievable, and credible inside AI-driven discovery. It was coined by Jaxon Parrott, founder of AuthorityTech, in 2024.</p><p>The Machine Relations Index measures how often AI answer engines cite each source domain. This record is one weekly public snapshot. The version is the release id <code>mri_score_v2.1+2026-11-10+32349d1896b9</code>, generated 2026-11-10, covering 2026-05-10 through 2026-11-10. 36876 cited source domains, 157 segments, 6 answer engines. Methodology mri_score_v2.1. Evidence floor: 10 observed runs and 7 distinct run dates.</p><p>The file machine-relations-index.json is the public artifact. Its sha256 is 7cb48ba880040a84917c82a756aa7ea3b9a8e20898c29416cca845866e026921.</p><p><a href=\"https://machinerelations.ai/index\">Machine Relations Index</a>. <a href=\"https://machinerelations.ai/research/machine-relations-index-methodology\">Methodology</a>. <a href=\"https://machinerelations.ai/api/mri/v2\">API</a>. <a href=\"https://machinerelations.ai/mcp\">MCP</a>. <a href=\"https://machinerelations.ai/research/machine-relations-index-report\">Weekly Index Report</a>.</p>", | |
| "creators": [ | |
| { | |
| "name": "Parrott, Jaxon", | |
| "affiliation": "Machine Relations Research", | |
| "orcid": "0009-0004-0039-3913" | |
| } | |
| ], | |
| "keywords": [ | |
| "AI search", | |
| "generative engine optimization", | |
| "answer engine citations", | |
| "Machine Relations", | |
| "Machine Relations Index", | |
| "mri-dataset-concept" | |
| ], | |
| "license": "cc-by-4.0", | |
| "version": "mri_score_v2.1+2026-11-10+32349d1896b9", | |
| "publication_date": "2026-11-10", | |
| "language": "eng", | |
| "access_right": "open", | |
| "notes": "mri-dataset-concept mri_dataset_publication_v1", | |
| "related_identifiers": [ | |
| { | |
| "identifier": "https://machinerelations.ai/index", | |
| "relation": "isDocumentedBy", | |
| "scheme": "url", | |
| "resource_type": "dataset" | |
| }, | |
| { | |
| "identifier": "https://machinerelations.ai/research/machine-relations-index-methodology", | |
| "relation": "isDocumentedBy", | |
| "scheme": "url", | |
| "resource_type": "publication" | |
| }, | |
| { | |
| "identifier": "https://machinerelations.ai/api/mri/v2", | |
| "relation": "isDescribedBy", | |
| "scheme": "url", | |
| "resource_type": "software" | |
| }, | |
| { | |
| "identifier": "https://machinerelations.ai/mcp", | |
| "relation": "isDescribedBy", | |
| "scheme": "url", | |
| "resource_type": "software" | |
| }, | |
| { | |
| "identifier": "https://machinerelations.ai/research/machine-relations-index-report", | |
| "relation": "isDocumentedBy", | |
| "scheme": "url", | |
| "resource_type": "publication" | |
| }, | |
| { | |
| "identifier": "https://www.wikidata.org/wiki/Q141991166", | |
| "relation": "isDescribedBy", | |
| "scheme": "url", | |
| "resource_type": "other" | |
| }, | |
| { | |
| "identifier": "https://jaxonparrott.com", | |
| "relation": "isSupplementedBy", | |
| "scheme": "url", | |
| "resource_type": "other" | |
| }, | |
| { | |
| "identifier": "https://www.wikidata.org/wiki/Q138783058", | |
| "relation": "isReferencedBy", | |
| "scheme": "url", | |
| "resource_type": "other" | |
| } | |
| ] | |
| } | |