Search intelligence workflows
Organize keyword, intent, competitor, content-gap, and performance signals into reviewable opportunities and briefs.
Build supervised agents and workflows for search research, content operations, campaign QA, reporting, and optimization decisions—with people retaining approval over publishing and spend.
01 / THE PROBLEM
SEO and paid-media teams often move data between analytics, ad platforms, search tools, spreadsheets, and content systems by hand. Generic automation can create more output without preserving evidence, brand context, budget controls, or accountable approval.
A strong fit when
02 / THE SYSTEM
Organize keyword, intent, competitor, content-gap, and performance signals into reviewable opportunities and briefs.
Monitor crawl, indexation, metadata, internal-linking, schema, and page-quality signals, then route prioritized findings with source context.
Support search-term triage, campaign QA, budget-pacing alerts, anomaly review, experiment preparation, and approval-ready recommendations.
Coordinate briefs, source gathering, brand and factual checks, editorial review, publishing handoffs, and refresh queues without auto-publishing unchecked copy.
Trace sources, recommendations, approvals, actions, costs, and outcomes so teams can review agent quality and improve the workflow.
03 / APPROACH
We map the decision workflow, connect approved data and tools, define what the agent may recommend or change, and add evaluation, approval, audit, and recovery paths before expanding autonomy.
Typical outputs
Working principles
Related thinking
A decision framework for conversion definitions, values, attribution checks, guardrails, and review before scaling PPC automation.
Read articleA practical architecture for creating attributable, crawlable product knowledge that people and AI-assisted search can understand.
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