Source domain profile · Other observed source

apprift.io in the Machine Relations Index

apprift.io appeared as a cited source in 1 of 39,811 monitored answer runs (under 0.01%) from May 10, 2026 to November 15, 2026.

Source site Markdown Public JSON

Self-description

How the site describes itself

AppRift reviews consumer apps and AI tools — hands-on reviews, head-to-head comparisons, and practical guides.

apprift.io describes itself this way in the description tag on its homepage, read on November 15, 2026. It is the source's own wording, quoted as found, not a finding of this Index.

Citation rateunder 0.01%

1 cited run of 39,811 observed answer runs.

Days cited1/183

Days with a citation, of the days observed in the current release window.

Engine breadth1

Perplexity. This is an observed-engine list, not a per-engine rate.

ConfidenceCollecting

MRI confidence is not an Answer-Source Fidelity grade.

Standing

Population ranks from the public release

Public standing: Collecting: no rank until it clears the evidence floor
Full universe: Not ranked in this release
Source role population: Not ranked in this release
Evidence-qualified source role: Not ranked in this release

Segment evidence

Observed category and question-shape rows

Segment rates use that category and question shape only. A row still collecting shows how many runs have been measured. A dash means no measured runs yet.

Category	Question shape	State	Cited runs	Observed runs	Run dates	Rate	Rank population	Badge
Consumer Finance	Is it worth it	Published	1	317	14	0.32%	#239 of 436	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

apprift.io has been cited in one monitored answer run, on October 20, 2026, by Perplexity, in answers to Consumer Finance / Is it worth it questions. Other sources cited for Consumer Finance questions are on the Consumer Finance sources page.

Peers

Nearest sources on Consumer Finance / Is it worth it

apprift.io holds its best segment rank, #239 of 436, in Consumer Finance / Is it worth it, at 0.32%. 212 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. Full leaderboard.

Rank	Source	Source role	Segment citation rate	Against this source
#157 of 436	aitooldiscovery.com	Other observed source	0.63%	+0.31 pts
#158 of 436	albert.com	Other observed source	0.63%	+0.31 pts
#159 of 436	associatedbank.com	Other observed source	0.63%	+0.31 pts
#160 of 436	bark.com	Other observed source	0.63%	+0.31 pts
#161 of 436	bart.gov	Academic and government source	0.63%	+0.31 pts
#162 of 436	betterbuyer.com	Other observed source	0.63%	+0.31 pts
#238 of 436	apexcore.site	Editorial publication	0.32%	Same rate
#240 of 436	appsvolts.com	Other observed source	0.32%	Same rate

Cite this

Citation

Machine Relations Index, Jaxon Parrott — machinerelations.ai. apprift.io, under 0.01% citation rate, 1 of 39,811 monitored answer runs, 2026-05-10 to 2026-11-15. Release mri_score_v2.1+2026-11-15+49589518c9ac. CC BY 4.0. https://machinerelations.ai/index/domains/apprift.io

APA

Parrott, J. (2026). apprift.io in the Machine Relations Index (Version mri_score_v2.1+2026-11-15+49589518c9ac) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/apprift.io https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mriappriftio,
  author = {Parrott, Jaxon},
  title = {apprift.io in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-15+49589518c9ac},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/apprift.io},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index, Jaxon Parrott — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

Published November 15, 2026. The observation window runs May 10, 2026 to November 15, 2026. Methodology v2.1.

Use the data

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

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"])

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, not all AI answers, recommendation quality, web traffic or commercial performance. A citation is not source support.

Embed

Embed this profile’s badge

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.

HTML

<a href="https://machinerelations.ai/index/domains/apprift.io"><img src="https://machinerelations.ai/index/domains/apprift.io/badge.svg" alt="apprift.io in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,811 runs), Nov 15, 2026 release. Machine Relations Index, Jaxon Parrott — machinerelations.ai." width="385" height="64"></a>

Markdown

[![apprift.io in the Machine Relations Index: cited in under 0.01% of monitored AI answers (1 of 39,811 runs), Nov 15, 2026 release. Machine Relations Index, Jaxon Parrott — machinerelations.ai.](https://machinerelations.ai/index/domains/apprift.io/badge.svg)](https://machinerelations.ai/index/domains/apprift.io)