Works / Scout · Content Gap Analysis Automation
The Content Gap Analysis Tuned to Each Client You Run
Run SEO across several clients and no two gap analyses are alike — each has its own brand, audience, and rivals. So you define the client once: voice, industry, audience, competitors, the intents that matter. Then every month Scout reads their Search Console, weighs them against those rivals, and delivers the gaps that fit — a briefing, a forecast, and a six-month calendar.
Client: Writers Department · Role: Automation Engineer · Year: 2026 · Stack: n8n · Javascript · Claude · GSC · Firecrawl · Google Sheets
The story
The before: Every month, the same research per client — and none of it transfers. What each competitor covers, what the client already ranks for, and the harder call: which of those gaps is real for this client, not just a topic someone else wrote.
The turn: So I built Scout. You define each client once — brand, audience, competitors, the intents that matter — and every month it reads their Search Console, finds the gaps that fit, and hands back a briefing, a forecast, and a six-month calendar.
How it works
- Client Setup: You define each client once — brand voice, industry, audience, competitors, the keyword intents that matter. Every run is tuned to who they are.
- Search Console: It pulls the client's own Search Console rankings — and their topic inventory, if you have one — the ground truth for what they already own.
- AI SEO Expert: An AI analyst weighs the client against those competitors and keeps only the gaps that fit.
- Delivery: A briefing and a forecast land in your inbox, plus a six-month editorial calendar of what to write next.
The trap in gap analysis is treating every competitor topic as an opportunity — many aren't, because they don't fit who the client is. So Scout starts from the client's own definition of who they are. The gaps it surfaces are the ones this client should actually chase.
What changed
what should this client write next? which gaps actually fit them? what do they already rank for?
The numbers: 6 months — of editorial calendar, per client.
Fair questions
how is it different for each client?
You define each one, so the gaps it finds fit that client, not a generic SEO list. (from the build)
will it recommend pages we can't edit?
No — page suggestions are filtered to URLs the client owns before the model ever sees them. (from the guardrails)
can it just invent numbers to look useful?
No — every figure is computed in code; the model only phrases it, and drops a section before it pads one.
The reel continues
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