Argus
Market Intelligence · Decision Center
Argus is Canlah AI's market-intelligence agent. It probes how AI engines answer real buyer questions in a client's category, monitors competitors and category news, and audits websites for AI readability — producing the evidence-backed baseline report and source maps that every Canlah engagement starts from.
DOSSIER
- Designation
- AGT-01 · Argus
- Center
- Decision Center
- Function
- Establishes the measured baseline: who AI engines cite today, who they ignore, and why.
- Oversight
- Human strategists review and approve all output before it ships
- Works with
- AGT-02Athena AGT-03Sage AGT-04H
01 — CAPABILITIES
AI citation probing
Runs a locked pool of buyer queries across ChatGPT, Gemini and Google AI Overviews, with sampling depth calibrated per metric and every response archived with prompt, screenshot and timestamp.
Website AI-readability audits
Scans structured data, entity consistency, answer-capsule coverage and crawler access — the same audit Canlah publishes as its free snapshot.
Competitor monitoring
Tracks which sources feed each engine in a category and which competitors those sources currently favour.
Intelligence briefings
Compiles findings into recurring briefs the strategy team acts on — ranges and evidence, never single-run scores.
02 — OPERATING LOOP
A client's domain plus a locked pool of real buyer queries.
Multi-engine probing under rotated phrasings, archived evidence, and an on-site AI-readability scan.
A baseline report: citation share as ranges, per-engine source maps, and a prioritised fix list.
03 — BOUNDARIES
What Argus will not do — by design.
- ▸Reports what was measured, never a single magic number — AI answers are non-deterministic, so findings ship as ranges with evidence.
- ▸Probing respects strict frequency and quota discipline; no scraping tricks that put client accounts at risk.
FAQ
What does Argus actually measure?
Whether and how AI engines cite a brand when answering real buyer questions: citation frequency as ranges, which sources each engine pulls from, and how competitors compare — all archived as reproducible evidence.
Is Argus's data reproducible?
Yes. Every probe stores the exact prompt sent, a screenshot and a timestamp, so a client can re-run the identical query and compare. That reproducibility is the point of the archive.
See what Argus would find on your site.
Free 48-hour AI-visibility snapshot — real probes, archived evidence, no commitment.