1 cited runs of 33,570 observed answer runs.
Source domain profile · Other observed source
Louder.com.au in the Machine Relations Index
louder.com.au appeared as a cited source in 1 of 33,570 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-30.
Days cited and days observed in the current release window.
Google AI Overviews. This is an observed-engine list, not a per-engine rate.
MRI confidence is not an Answer-Source Fidelity grade.
Standing
Population ranks from the public release
- Public standing
- collecting · 0.00% across 1/33,570 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 |
|---|---|---|---|---|---|---|---|---|
| Martech & Advertising | Is it worth it | Published | 1 | 131 | 8 | 0.76% | #133 of 208 | Badge |
Published segments: 1. Collecting segments: 0.
Citation record
One cited run
louder.com.au has been cited in one monitored answer run, on October 20, 2026, by Google AI Overviews, in answers to Martech & Advertising / Is it worth it questions. Other sources cited for Martech & Advertising questions are on the Martech & Advertising sources page.
Peers
Nearest sources on Martech & Advertising / Is it worth it
Louder.com.au holds its best segment rank, #133 of 208, in Martech & Advertising / Is it worth it, at 0.76%. 119 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 |
|---|---|---|---|---|
| #67 of 208 | Ibeamconsulting.com | Other observed source | 1.53% | +0.77 pts |
| #68 of 208 | Jestko.com | Other observed source | 1.53% | +0.77 pts |
| #69 of 208 | Klaviyo.com | Other observed source | 1.53% | +0.77 pts |
| #70 of 208 | Learnmarketing.co.in | Other observed source | 1.53% | +0.77 pts |
| #71 of 208 | Lexer.io | Vendor-owned source | 1.53% | +0.77 pts |
| #72 of 208 | Link-assistant.com | Other observed source | 1.53% | +0.77 pts |
| #132 of 208 | Keytomic.com | Other observed source | 0.76% | Same rate |
| #136 of 208 | Manago.ai | Other observed source | 0.76% | Same rate |
Cite this
Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai. Louder.com.au (louder.com.au), 0.00% citation rate, 1 of 33,570 monitored answer runs, 2026-05-10 to 2026-10-30. Release mri_score_v2.1+2026-10-30+ddc11e2c7974. https://machinerelations.ai/index/domains/louder.com.au. CC BY 4.0.Parrott, J. (2026). Louder.com.au (louder.com.au) in the Machine Relations Index (Version mri_score_v2.1+2026-10-30+ddc11e2c7974) [Data set]. Machine Relations Research. https://machinerelations.ai/index/domains/louder.com.au https://doi.org/10.5281/zenodo.23652423@misc{parrott2026mriloudercomau,
author = {Parrott, Jaxon},
title = {Louder.com.au (louder.com.au) in the Machine Relations Index},
year = {2026},
version = {mri\_score\_v2.1+2026-10-30+ddc11e2c7974},
publisher = {Machine Relations Research},
url = {https://machinerelations.ai/index/domains/louder.com.au},
doi = {10.5281/zenodo.23652423},
license = {CC-BY-4.0},
note = {Machine Relations Index (MRI), Machine Relations Research — machinerelations.ai}
}Release and boundary
What this profile measures
Published October 30, 2026. The observation window runs May 10, 2026 to October 30, 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.htmlimport 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/louder.com.au"><img src="https://machinerelations.ai/index/domains/louder.com.au/badge.svg" alt="Louder.com.au in the Machine Relations Index: 0.00% cited in monitored answer runs, 1 of 33,570 runs · Collecting. Machine Relations Research." width="443" height="64"></a>Markdown
[](https://machinerelations.ai/index/domains/louder.com.au)