Source domain profile · Other observed source

Perform.ai in the Machine Relations Index

perform.ai appeared as a cited source in 1 of 34,788 monitored answer runs (0.00%) from 2026-05-10 to 2026-11-01.

Source site Markdown Public JSON

Citation rate0.00%

1 cited runs of 34,788 observed answer runs.

Days observed1/169

Days cited and 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 · 0.00% across 1/34,788 observed runs
Full universe: Producer rank unavailable
Source role population: Producer rank unavailable
Evidence-qualified source role: Producer rank unavailable

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
AI Visibility & GEO	Best tools	Published	1	262	12	0.38%	#501 of 594	Badge

Published segments: 1. Collecting segments: 0.

Citation record

One cited run

perform.ai has been cited in one monitored answer run, on October 19, 2026, by Perplexity, in answers to AI Visibility & GEO / Best tools questions. Other sources cited for AI Visibility & GEO questions are on the AI Visibility & GEO sources page.

Peers

Nearest sources on AI Visibility & GEO / Best tools

Perform.ai holds its best segment rank, #501 of 594, in AI Visibility & GEO / Best tools, at 0.38%. 288 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
#275 of 594	Radarkit.ai	Other observed source	0.76%	+0.38 pts
#276 of 594	Raginator.com	Other observed source	0.76%	+0.38 pts
#277 of 594	Refd.ai	Other observed source	0.76%	+0.38 pts
#278 of 594	Searchatlas.com	Other observed source	0.76%	+0.38 pts
#279 of 594	Senso.ai	Other observed source	0.76%	+0.38 pts
#280 of 594	Seoforgpt.io	Other observed source	0.76%	+0.38 pts
#499 of 594	Peasy.so	Other observed source	0.38%	Same rate
#503 of 594	Pineprompt.com	Other observed source	0.38%	Same rate

Cite this

Citation

Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Perform.ai (perform.ai), 0.00% citation rate, 1 of 34,788 monitored answer runs, 2026-05-10 to 2026-11-01. Release mri_score_v2.1+2026-11-01+0542f5da373e. https://machinerelations.ai/index/domains/perform.ai. CC BY 4.0.

APA

Parrott, J. (2026). Perform.ai (perform.ai) in the Machine Relations Index (Version mri_score_v2.1+2026-11-01+0542f5da373e) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/perform.ai https://doi.org/10.5281/zenodo.23652423

BibTeX

@misc{parrott2026mriperformai,
  author = {Parrott, Jaxon},
  title = {Perform.ai (perform.ai) in the Machine Relations Index},
  year = {2026},
  version = {mri\_score\_v2.1+2026-11-01+0542f5da373e},
  publisher = {Machine Relations Research},
  url = {https://machinerelations.ai/index/domains/perform.ai},
  doi = {10.5281/zenodo.23652423},
  license = {CC-BY-4.0},
  note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}

CITATION.cff

Release and boundary

What this profile measures

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

The link goes to this profile, the alt text says what the badge shows, and the badge is live: it always shows the current release, so it changes when the release changes and returns 404 if this domain leaves the released population. The embedder decides the link’s rel attribute. To keep a fixed image, download the SVG.

HTML

<a href="https://machinerelations.ai/index/domains/perform.ai"><img src="https://machinerelations.ai/index/domains/perform.ai/badge.svg" alt="Perform.ai in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 34,788 runs · Collecting. Machine Relations Research." width="417" height="64"></a>

Markdown

[![Perform.ai in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 34,788 runs · Collecting. Machine Relations Research.](https://machinerelations.ai/index/domains/perform.ai/badge.svg)](https://machinerelations.ai/index/domains/perform.ai)