--- title: "edgelabs.ai in the Machine Relations Index" description: "Canonical domain: edgelabs.ai" canonical: "https://machinerelations.ai/index/domains/edgelabs.ai" --- # edgelabs.ai in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/edgelabs.ai Canonical domain: edgelabs.ai Source role: Other observed source Release mri_score_v2.1+2026-11-05+66c560c07279; methodology mri_score_v2.1; generated 2026-11-05; window 2026-05-10 to 2026-11-05; artifact 4577502f254c. edgelabs.ai appeared as a cited source in 2 of 36,189 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-05. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 2 of 36,189 - Days cited: 2 of 173 - Engine breadth: 1 observed engine (google_ai_mode) - 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 Security & Privacy](https://machinerelations.ai/index/categories/ai-security-privacy) | [Best tools](https://machinerelations.ai/index/categories/ai-security-privacy/best_x) | published | 2 | 298 | 13 | 0.67% | #192 of 448 | ## Citation History edgelabs.ai was first cited in a monitored answer run on September 27, 2026, and most recently on October 11, 2026, with cited runs in 2 of the 3 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 | |---|---:|---:|---:| | September 2026 | 1 | 4,971 | 0.02% | | October 2026 | 1 | 16,496 | 0.01% | | November 2026 (to 2026-11-05) | 0 | 1,706 | 0.00% | ## 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 | |---|---:|---:|---:| | [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 2 | 2,114 | 0.09% | | [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 8,545 | 0.00% | | [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 8,583 | 0.00% | | [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,987 | 0.00% | | [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,297 | 0.00% | | [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 0 | 8,663 | 0.00% | Since August 31, 2026, edgelabs.ai is cited in 2 of 908 observed Google AI Mode runs (0.22%). Google AI Mode's collection changed between August 10, 2026 and August 30, 2026, so its row above pools both sides of the change. ## Peers edgelabs.ai holds its best segment rank, #192 of 448, in AI Security & Privacy / Best tools, at 0.67%. 86 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-security-privacy/best_x | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #142 of 448 | [deepread.tech](https://machinerelations.ai/index/domains/deepread.tech) | Other observed source | 1.01% | +0.34 pts | | #143 of 448 | [eliteai.tools](https://machinerelations.ai/index/domains/eliteai.tools) | Other observed source | 1.01% | +0.34 pts | | #144 of 448 | [ertas.ai](https://machinerelations.ai/index/domains/ertas.ai) | Other observed source | 1.01% | +0.34 pts | | #191 of 448 | [deltallm.io](https://machinerelations.ai/index/domains/deltallm.io) | Other observed source | 0.67% | Same rate | | #196 of 448 | [fastrouter.ai](https://machinerelations.ai/index/domains/fastrouter.ai) | Other observed source | 0.67% | Same rate | | #308 of 448 | [diva-portal.org](https://machinerelations.ai/index/domains/diva-portal.org) | Other observed source | 0.34% | -0.33 pts | | #309 of 448 | [dunicot.com](https://machinerelations.ai/index/domains/dunicot.com) | Other observed source | 0.34% | -0.33 pts | | #310 of 448 | [Dynamic Business](https://machinerelations.ai/index/domains/dynamicbusiness.com) | Editorial publication | 0.34% | -0.33 pts | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. edgelabs.ai, under 0.01% citation rate, 2 of 36,189 monitored answer runs, 2026-05-10 to 2026-11-05. Release mri_score_v2.1+2026-11-05+66c560c07279. https://machinerelations.ai/index/domains/edgelabs.ai. CC BY 4.0. APA Parrott, J. (2026). edgelabs.ai in the Machine Relations Index (Version mri_score_v2.1+2026-11-05+66c560c07279) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/edgelabs.ai https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriedgelabsai, author = {Parrott, Jaxon}, title = {edgelabs.ai in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-05+66c560c07279}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/edgelabs.ai}, 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/edgelabs.ai/badge.svg [![edgelabs.ai in the Machine Relations Index: cited in under 0.01% of monitored AI answers (2 of 36,189 runs), Nov 5, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/edgelabs.ai/badge.svg)](https://machinerelations.ai/index/domains/edgelabs.ai) 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)