--- title: "Bing.ly in the Machine Relations Index" description: "Canonical domain: bing.ly" canonical: "https://machinerelations.ai/index/domains/bing.ly" --- # Bing.ly in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/bing.ly Canonical domain: bing.ly 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. bing.ly appeared as a cited source in 2 of 36,189 monitored answer runs (0.01%) from 2026-05-10 to 2026-11-05. ## How the Site Describes Itself > Track if your site is cited by ChatGPT, Claude, Gemini, and Grok, and monitor what communities on Reddit, HN, G2, and GitHub are saying about your keywords. GEO analytics meets community signal intelligence. bing.ly describes itself this way in the description tag on its homepage, read on November 4, 2026. It is the source's own wording, quoted as found, not a finding of this Index. ## Overall Evidence - Citation rate: 0.01% - Cited runs: 2 of 36,189 - Days cited: 1 of 173 - Engine breadth: 2 observed engines (claude, perplexity) - Confidence: Collecting - Standing: collecting · 0.01% across 2/36,189 observed runs ## 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 | 2 | 282 | 13 | 0.71% | #195 of 699 | ## Citation History bing.ly was first cited in a monitored answer run on November 2, 2026, with cited runs in 1 of the 1 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 | |---|---:|---:|---:| | November 2026 (to 2026-11-05) | 2 | 1,706 | 0.12% | ## 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 | |---|---:|---:|---:| | [Claude](https://machinerelations.ai/index/engines/claude) | 1 | 8,583 | 0.01% | | [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 1 | 8,663 | 0.01% | | [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 8,545 | 0.00% | | [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,987 | 0.00% | | [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,114 | 0.00% | | [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,297 | 0.00% | Since August 31, 2026, Bing.ly is cited in none of 908 observed Google AI Mode runs. 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 Bing.ly holds its best segment rank, #195 of 699, in AI Visibility & GEO / How buyers choose, at 0.71%. 117 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 | |---|---|---|---:|---| | #137 of 699 | [Airanklab.com](https://machinerelations.ai/index/domains/airanklab.com) | Search or media platform | 1.06% | +0.35 pts | | #138 of 699 | [Aisa.to](https://machinerelations.ai/index/domains/aisa.to) | Other observed source | 1.06% | +0.35 pts | | #139 of 699 | [Ambeltek.com](https://machinerelations.ai/index/domains/ambeltek.com) | Other observed source | 1.06% | +0.35 pts | | #194 of 699 | [Betterweb.ai](https://machinerelations.ai/index/domains/betterweb.ai) | Vendor-owned source | 0.71% | Same rate | | #196 of 699 | [Bonemeal.ai](https://machinerelations.ai/index/domains/bonemeal.ai) | Other observed source | 0.71% | Same rate | | #337 of 699 | [Atlasworkspace.ai](https://machinerelations.ai/index/domains/atlasworkspace.ai) | Other observed source | 0.35% | -0.36 pts | | #338 of 699 | [Auracite.de](https://machinerelations.ai/index/domains/auracite.de) | Other observed source | 0.35% | -0.36 pts | | #339 of 699 | [Avorice.de](https://machinerelations.ai/index/domains/avorice.de) | Other observed source | 0.35% | -0.36 pts | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Bing.ly (bing.ly), 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/bing.ly. CC BY 4.0. APA Parrott, J. (2026). Bing.ly (bing.ly) in the Machine Relations Index (Version mri_score_v2.1+2026-11-05+66c560c07279) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/bing.ly https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mribingly, author = {Parrott, Jaxon}, title = {Bing.ly (bing.ly) 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/bing.ly}, 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/bing.ly/badge.svg [![Bing.ly in the Machine Relations Index: 0.01% cited in monitored answer runs, 2 of 36,189 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/bing.ly/badge.svg)](https://machinerelations.ai/index/domains/bing.ly) The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile, and the alt text says what the badge shows. ## 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)