Sage
Performance Analysis · Decision Center
Sage is Canlah AI's performance-analysis agent. It re-measures the same locked query pool monthly under the identical protocol, compares results against Argus's baseline, and reports movement as ranges with the evidence archive attached — separating real change from the noise inherent in AI answers.
DOSSIER
- Designation
- AGT-03 · Sage
- Center
- Decision Center
- Function
- Closes the loop: monthly re-measurement, attribution and reporting against the baseline.
- Oversight
- Human strategists review and approve all output before it ships
- Works with
- AGT-01Argus AGT-02Athena
01 — CAPABILITIES
Monthly re-measurement
Re-probes the identical query pool under the same protocol so month-over-month comparison is apples to apples.
Movement vs noise analysis
AI answers fluctuate; Sage reports ranges and flags only movements that exceed measured variance.
Analytics integration
Reads GA4 and Search Console alongside probe data, including AI-referral traffic (chatgpt.com, perplexity.ai referrers) to connect visibility to visits.
Reporting
Before/after reports with the evidence archive attached — every number traceable.
02 — OPERATING LOOP
The locked query pool, the baseline archive and the client's analytics.
Identical-protocol re-probing, variance analysis, and analytics cross-reads.
A monthly report: citation-share ranges vs baseline, with raw evidence attached.
03 — BOUNDARIES
What Sage will not do — by design.
- ▸Will report 'no significant change' when that is what the data shows — a measurement practice that only reports good news is not a measurement practice.
- ▸Attribution claims stay within what the data supports; AI-referral traffic is reported as observed, not extrapolated.
FAQ
Why does Sage report ranges instead of a score?
Because the same question asked twice to an AI engine can produce different answers. A single-run score is an anecdote; a range across repeated controlled runs is a measurement.
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