Brickroad
Brickroad
IndexSignalsBlog
/Index//

Product

  • Information Frontier Agent
  • Vendor Management Agent
  • Product Tour
  • Pricing

Solutions

  • All Solutions
  • Atlas
  • Wayfinder
  • Horizon

Suppliers

  • Sell Your Data
  • Start Onboarding
  • Programmatic Data License

Community

  • Public Index
  • Signals
  • Blog

Company

  • About
  • Team
  • Careers
  • Brand

Connect

  • LinkedIn
  • X
PrivacyTermsCookies

© 2026 Brickroad

/Index/ALLMO/A cross-model citation-behaviour panel
A

A cross-model citation-behaviour panel

ALLMOManage supplier listing

A cross-model citation-behaviour panel. For each tracked brand prompt set, ALLMO records every domain and exact URL cited by six AI services - ChatGPT, Perplexity, Claude, Gemini, Mistral and Grok - then auto-classifies each cited domain into one of ten source types (owned, forum, review site, media, directory, competitor, user-generated content and others), and drills from domain ranking down to the specific cited page and the AI response that referenced it. The commercially distinctive artifact is the source-type-by-model matrix it produces, which makes explicit that grounding behaviour diverges sharply by vendor - the published illustration shows one model leaning on owned content while another draws most heavily on forums. Also tracks top-cited pages, the prompts generating citations, citation trends over time, and video-source metrics.

Open buyer room →
ALLMO/A cross-model citation-behaviour panel
SampleCoverage

Sample

Brickroad customers

Sample this dataset before you buy it.

Your sourcing agent asks ALLMO and files the sample in your catalog — private to you.

Start 7-day trial→Nothing is charged until the trial ends.

Coverage

Universe, instruments and categories.

Industry
MarketingApplication Software
Instruments
equities
Categories
Alternative
Sentiment
Regions
EuropeUS
Sample tickers
RDDTGOOGLMSFTAMZNHUBSNET
Dataset card
Type
not stated
Format
Tabular + Text - citation records (domain, exact URL, model, prompt, source-type category, timestamp) rolled into ranking tables, category splits and a source-type-by-model frequency matrix, with drill-down to full AI response text
Volume
Driven by prompt set multiplied by six models per tracked brand, so it accrues continuously but is not disclosed - the figures shown on the page are illustrative dashboard examples using a placeholder brand and are not a scale claim. Aggregate size scales with customer count times prompt-set size, both undisclosed; the value lies in the source-type taxonomy applied across vendors rather than in record count.
Users
Request further research - no customer count is published on the page, and the entity record shows a single employee with no funding, so scale cannot be bounded from public signals beyond inferring a small base of European direct-to-consumer and agency accounts from the self-serve positioning and the German review-site presence
History
not stated
Update frequency
not stated
Growth
Actively developed, micro-scale - the feature set is deep, covering six models, ten source categories, page-level drill-down, competitor tracking and video-source metrics, and the product carries a public rating on a German marketing-software review site, indicating real paying customers. The contact directory lists a single employee in Hamburg with no funding, so this is a one-person operation.
Launched
est. 2025-2026 - no launch date or copyright year is stated on the page, but the entity record is recently created and the tracked model set includes current services, so the product is a recent AI-era build roughly one to two years old
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

ALLMO has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling