Overwatch

Serious SEO tooling is rented, not owned. A single mid-tier platform runs into the hundreds of dollars a month, the data it shows is assembled from sources you could reach yourself, and none of it is yours — the moment you stop paying, the history goes with it. Worse, the numbers arrive as dashboards rather than as data you can query, join, or act on programmatically, so the analysis stops exactly where the vendor decided it should.

Overwatch pulls the underlying signals directly — Google Search Console, Analytics 4, Business Profile and Chrome UX Report alongside commercial SERP and keyword data — and lands them in a single PostgreSQL instance specialised for the job: TimescaleDB hypertables for the time-series, PostGIS for local-pack grid heatmaps, and pgvector for content similarity. Eighteen background workers run the scheduled syncs; long-running SERP jobs return through a signed pingback endpoint rather than being polled. On top sits an AI operator that can chat over the account's own data, run keyword discovery, draft content briefs, and propose WordPress edits — every mutation held behind a human approval queue. The whole application surface is also exposed as an audited machine-callable catalogue, so agents can drive it under one credential.

• In production and in daily use, replacing a stack of rented SEO subscriptions
• Rank tracking blends free Search-Console-derived positions with paid SERP tasks, so cost tracks only the keywords that genuinely need it
• AI visibility triangulated from three independent signals rather than one vendor's estimate
• Local SEO grid heatmaps rendered from real geo-sampled pack positions (PostGIS)
• 87 audited read, write, trigger and proposal capabilities exposed to agents behind one credential
• Every on-page edit an agent proposes is gated on human approval before it reaches a live site