--- title: "adpushup.com in the Machine Relations Index" description: "adpushup.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14." canonical: "https://machinerelations.ai/index/domains/adpushup.com" --- # adpushup.com in the Machine Relations Index adpushup.com appeared as a cited source in 1 of 39,509 monitored answer runs (under 0.01%) from 2026-05-10 to 2026-11-14. Canonical URL: https://machinerelations.ai/index/domains/adpushup.com Canonical domain: adpushup.com Source role: Other observed source Release mri_score_v2.1+2026-11-14+a5e5e37df8da; methodology mri_score_v2.1; generated 2026-11-14; window 2026-05-10 to 2026-11-14; artifact 90bc78b19db1. ## How the Site Describes Itself > We help web publishers grow their advertising revenue by using cutting-edge technology, premium demand partnerships. adpushup.com describes itself this way in the description tag on its homepage, read on November 14, 2026. It is the source's own wording, quoted as found, not a finding of this Index. ## Overall Evidence - Citation rate: under 0.01% - Cited runs: 1 of 39,509 - Days cited: 1 of 182 - Engine breadth: 1 observed engine (claude) - 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 | |---|---|---|---:|---:|---:|---:|---| | [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [Is it worth it](https://machinerelations.ai/index/categories/igaming-betting/is_x_worth) | published | 1 | 220 | 12 | 0.45% | #153 of 249 | ## Citation Record adpushup.com has been cited in one monitored answer run, on October 14, 2026, by Claude, in answers to iGaming & Betting / Is it worth it questions. Other sources cited for iGaming & Betting questions: https://machinerelations.ai/index/categories/igaming-betting ## Peers adpushup.com holds its best segment rank, #153 of 249, in iGaming & Betting / Is it worth it, at 0.45%. 99 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/igaming-betting/is_x_worth | Rank | Source | Source role | Segment citation rate | Against this source | |---|---|---|---:|---| | #99 of 249 | [advisorlogistics.com](https://machinerelations.ai/index/domains/advisorlogistics.com) | Other observed source | 0.91% | +0.46 pts | | #100 of 249 | [affpapa.com](https://machinerelations.ai/index/domains/affpapa.com) | Other observed source | 0.91% | +0.46 pts | | #101 of 249 | [altenar.com](https://machinerelations.ai/index/domains/altenar.com) | Other observed source | 0.91% | +0.46 pts | | #102 of 249 | [arxiv.org](https://machinerelations.ai/index/domains/arxiv.org) | Academic and government source | 0.91% | +0.46 pts | | #103 of 249 | [betacr.eu](https://machinerelations.ai/index/domains/betacr.eu) | Other observed source | 0.91% | +0.46 pts | | #104 of 249 | [betgo.digital](https://machinerelations.ai/index/domains/betgo.digital) | Other observed source | 0.91% | +0.46 pts | | #148 of 249 | [vibe.co](https://machinerelations.ai/index/domains/vibe.co) | Other observed source | 0.91% | +0.46 pts | | #154 of 249 | [agbrief.com](https://machinerelations.ai/index/domains/agbrief.com) | Editorial publication | 0.45% | Same rate | ## Citation Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. adpushup.com, under 0.01% citation rate, 1 of 39,509 monitored answer runs, 2026-05-10 to 2026-11-14. Release mri_score_v2.1+2026-11-14+a5e5e37df8da. CC BY 4.0. https://machinerelations.ai/index/domains/adpushup.com APA Parrott, J. (2026). adpushup.com in the Machine Relations Index (Version mri_score_v2.1+2026-11-14+a5e5e37df8da) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/adpushup.com https://doi.org/10.5281/zenodo.23652423 BibTeX ```bibtex @misc{parrott2026mriadpushupcom, author = {Parrott, Jaxon}, title = {adpushup.com in the Machine Relations Index}, year = {2026}, version = {mri\_score\_v2.1+2026-11-14+a5e5e37df8da}, publisher = {Machine Relations Research}, url = {https://machinerelations.ai/index/domains/adpushup.com}, 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/adpushup.com/badge.svg [![adpushup.com in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,509 runs), Nov 14, 2026 release. Machine Relations Research.](https://machinerelations.ai/index/domains/adpushup.com/badge.svg)](https://machinerelations.ai/index/domains/adpushup.com) 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)