--- title: "Liquidreply.net in the Machine Relations Index" description: "Canonical domain: liquidreply.net" canonical: "https://machinerelations.ai/index/domains/liquidreply.net" --- # Liquidreply.net in the Machine Relations Index Canonical URL: https://machinerelations.ai/index/domains/liquidreply.net Canonical domain: liquidreply.net Source role: Other observed source Release mri_score_v2.1+2026-10-31+2349fd99615c; methodology mri_score_v2.1; generated 2026-10-31; window 2026-05-10 to 2026-10-31; artifact 49aaafd42df1. liquidreply.net appeared as a cited source in 2 of 34,483 monitored answer runs (0.01%) from 2026-05-10 to 2026-10-31. ## Overall Evidence - Citation rate: 0.01% - Cited runs: 2 of 34,483 - Days cited: 2 of 168 - Engine breadth: 1 observed engines (perplexity) - Confidence: Collecting - Standing: collecting · 0.01% across 2/34,483 observed runs ## Observed Segments | Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing | |---|---|---|---:|---:|---:|---:|---| | [AI Infrastructure](https://machinerelations.ai/index/categories/ai-infrastructure) | [Best tools](https://machinerelations.ai/index/categories/ai-infrastructure/best_x) | published | 2 | 251 | 13 | 0.80% | #180 of 364 | ## Citation History liquidreply.net was first cited in a monitored answer run on September 25, 2026, and most recently on October 17, 2026, with cited runs in 2 of the 2 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 (to 2026-10-31) | 1 | 16,496 | 0.01% | ## 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 | |---|---:|---:|---:| | [Perplexity](https://machinerelations.ai/index/engines/perplexity) | 2 | 8,175 | 0.02% | | [ChatGPT](https://machinerelations.ai/index/engines/chatgpt) | 0 | 8,057 | 0.00% | | [Claude](https://machinerelations.ai/index/engines/claude) | 0 | 8,095 | 0.00% | | [Gemini](https://machinerelations.ai/index/engines/gemini) | 0 | 6,873 | 0.00% | | [Google AI Mode](https://machinerelations.ai/index/engines/google_ai_mode) | 0 | 2,030 | 0.00% | | [Google AI Overviews](https://machinerelations.ai/index/engines/google_ai_overviews) | 0 | 1,253 | 0.00% | ## Peers Liquidreply.net holds its best segment rank, #180 of 364, in AI Infrastructure / Best tools, at 0.80%. 53 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-infrastructure/best_x | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #137 of 364 | [Introl.com](https://machinerelations.ai/index/domains/introl.com) | Other observed source | 1.20% | +0.40 pts | | #138 of 364 | [Kanerika.com](https://machinerelations.ai/index/domains/kanerika.com) | Analyst and consulting research | 1.20% | +0.40 pts | | #139 of 364 | [Knowsync.ai](https://machinerelations.ai/index/domains/knowsync.ai) | Other observed source | 1.20% | +0.40 pts | | #179 of 364 | [Learnopencv.com](https://machinerelations.ai/index/domains/learnopencv.com) | Other observed source | 0.80% | Same rate | | #182 of 364 | [Masternodeai.com](https://machinerelations.ai/index/domains/masternodeai.com) | Editorial publication | 0.80% | Same rate | | #276 of 364 | [Interviewkickstart.com](https://machinerelations.ai/index/domains/interviewkickstart.com) | Other observed source | 0.40% | -0.40 pts | | #277 of 364 | [Iotdigitaltwinplm.com](https://machinerelations.ai/index/domains/iotdigitaltwinplm.com) | Other observed source | 0.40% | -0.40 pts | | #278 of 364 | [Kalviumlabs.ai](https://machinerelations.ai/index/domains/kalviumlabs.ai) | Other observed source | 0.40% | -0.40 pts | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Liquidreply.net (liquidreply.net), 0.01% citation rate, 2 of 34,483 monitored answer runs, 2026-05-10 to 2026-10-31. Release mri_score_v2.1+2026-10-31+2349fd99615c. https://machinerelations.ai/index/domains/liquidreply.net. CC BY 4.0. APA Parrott, J. (2026). Liquidreply.net (liquidreply.net) in the Machine Relations Index (Version mri_score_v2.1+2026-10-31+2349fd99615c) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/liquidreply.net https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriliquidreplynet, author = {Parrott, Jaxon}, title = {Liquidreply.net (liquidreply.net) in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-10-31+2349fd99615c}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/liquidreply.net}, 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/liquidreply.net/badge.svg [![Liquidreply.net in the Machine Relations Index: 0.01% cited in monitored answer runs, 2 of 34,483 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/liquidreply.net/badge.svg)](https://machinerelations.ai/index/domains/liquidreply.net) 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)