--- title: "aimsportsystems.com.au in the Machine Relations Index" description: "aimsportsystems.com.au appeared as a cited source in 1 of 37,536 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-08." canonical: "https://machinerelations.ai/index/domains/aimsportsystems.com.au" --- # aimsportsystems.com.au in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/aimsportsystems.com.au Canonical domain: aimsportsystems.com.au Source role: Other observed source Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f; methodology mri_score_v2.1; generated 2026-11-08; window 2026-05-10 to 2026-11-08; artifact 4053956b43bb. aimsportsystems.com.au appeared as a cited source in 1 of 37,536 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-08. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 37,536 - Days cited: 1 of 176 - 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 Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 1 | 282 | 13 | 0.35% | #317 of 699 | ## Citation Record aimsportsystems.com.au has been cited in one monitored answer run, on October 26, 2026, by ChatGPT, in answers to AI Visibility & GEO / How buyers choose questions. Other sources cited for AI Visibility & GEO questions: https://machinerelations.ai/index/categories/ai-visibility-geo ## Peers aimsportsystems.com.au holds its best segment rank, #317 of 699, in AI Visibility & GEO / How buyers choose, at 0.35%. 399 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-visibility-geo/how_choose | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #187 of 699 | [ai-tldr.dev](https://machinerelations.ai/index/domains/ai-tldr.dev) | Other observed source | 0.71% | +0.36 pts | | #188 of 699 | [ai-visibility.org.uk](https://machinerelations.ai/index/domains/ai-visibility.org.uk) | Other observed source | 0.71% | +0.36 pts | | #189 of 699 | [aiagentics.io](https://machinerelations.ai/index/domains/aiagentics.io) | Vendor-owned source | 0.71% | +0.36 pts | | #190 of 699 | [amadora.ai](https://machinerelations.ai/index/domains/amadora.ai) | Other observed source | 0.71% | +0.36 pts | | #191 of 699 | [apify.com](https://machinerelations.ai/index/domains/apify.com) | Other observed source | 0.71% | +0.36 pts | | #192 of 699 | [atomicagi.com](https://machinerelations.ai/index/domains/atomicagi.com) | Other observed source | 0.71% | +0.36 pts | | #316 of 699 | [aifactscan.com](https://machinerelations.ai/index/domains/aifactscan.com) | Other observed source | 0.35% | Same rate | | #319 of 699 | [airated.ai](https://machinerelations.ai/index/domains/airated.ai) | Other observed source | 0.35% | Same rate | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. aimsportsystems.com.au, under 0.01% citation rate, 1 of 37,536 monitored answer runs, 2026-05-10 to 2026-11-08. Release mri_score_v2.1+2026-11-08+0f28d6fa6d4f. https://machinerelations.ai/index/domains/aimsportsystems.com.au. CC BY 4.0. APA Parrott, J. (2026). aimsportsystems.com.au in the Machine Relations Index (Version mri_score_v2.1+2026-11-08+0f28d6fa6d4f) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/aimsportsystems.com.au https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriaimsportsystemscomau, author = {Parrott, Jaxon}, title = {aimsportsystems.com.au in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-08+0f28d6fa6d4f}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/aimsportsystems.com.au}, 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/aimsportsystems.com.au/badge.svg [![aimsportsystems.com.au in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 37,536 runs), Nov 8, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/aimsportsystems.com.au/badge.svg)](https://machinerelations.ai/index/domains/aimsportsystems.com.au) 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)