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Scout

Prioritizes updates by real search performance
Supporting agent — autonomous
What it watches

Google Search Console: articles sitting in striking distance (positions 5–15) with real impressions, and pages whose clicks are sliding versus their own 28-day baseline.

What it does

Picks the single highest-opportunity article and runs a full AI refresh, briefed with the exact signal that flagged it so the rewrite targets the positions it can still win.

How often

Runs on the agent cycle (about every couple of days), one article per run, with a 30-day per-article cooldown.

Most tools treat every page as equally worth updating. Scout doesn't. It reads your actual Search Console data and finds the pages where an update changes your ranking the most — the ones already on the edge of page one, and the ones quietly losing the clicks they used to earn.

Because the refresh is briefed with the specific signal ("this page sits at position 8 for a query with 1,200 monthly impressions"), the rewrite is pointed, not generic. You spend AI budget where it compounds.

How Scout works

1
Read the signal

Scout scores every published article from its GSC history: striking-distance position bands and declining-clicks trends.

2
Pick the winner

The single highest-opportunity article is selected — never a scattershot batch.

3
Refresh with context

A full AI refresh runs with the signal attached, then the article republishes automatically.

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