Supervised intelligence for search and paid media

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SEO & PPC Agents

Supervised intelligence for search and paid media5 connected signals

Build supervised agents and workflows for search research, content operations, campaign QA, reporting, and optimization decisions—with people retaining approval over publishing and spend.

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01 / THE PROBLEM

Marketing agents should accelerate judgment, not hide it.

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

  • Growth teams consolidating repetitive search and campaign analysis
  • Agencies standardizing research, QA, reporting, and client review workflows
  • Marketing organizations that need supervised automation across SEO, PPC, analytics, and content systems

02 / THE SYSTEM

Capabilities connected around the outcome.

  1. 01

    Search intelligence workflows

    Organize keyword, intent, competitor, content-gap, and performance signals into reviewable opportunities and briefs.

  2. 02

    Technical SEO agents

    Monitor crawl, indexation, metadata, internal-linking, schema, and page-quality signals, then route prioritized findings with source context.

  3. 03

    PPC operations agents

    Support search-term triage, campaign QA, budget-pacing alerts, anomaly review, experiment preparation, and approval-ready recommendations.

  4. 04

    Content operations

    Coordinate briefs, source gathering, brand and factual checks, editorial review, publishing handoffs, and refresh queues without auto-publishing unchecked copy.

  5. 05

    Measurement and evaluation

    Trace sources, recommendations, approvals, actions, costs, and outcomes so teams can review agent quality and improve the workflow.

03 / APPROACH

Make the risky decisions testable early.

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

  • SEO and PPC workflow opportunity map
  • Data, tool, and permission architecture
  • Agent task and approval model
  • Evaluation scenarios and quality criteria
  • Integrated supervised workflows
  • Monitoring, audit, and recovery playbook

Working principles

  • Sources stay visible
  • Spend changes require explicit authority
  • Publishing retains editorial review
  • Autonomy expands only with evidence

Start with the constraint

What needs to become clearer, faster, or more dependable?

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