Enterprise SEO Operations Platform

SEO at scale requires a team

Running enterprise-level SEO for a mid-market B2B company typically requires a full team of specialists: a strategist, technical auditor, content writers, link builder, analytics lead, and a project manager to coordinate them. Traditional agencies charge thousands per month and still struggle with quality consistency and content volume.

The client needed the depth of a full SEO team without the headcount or the monthly retainer.

28 agents, one engagement

We built an entire SEO operations team orchestrated through 28 specialized AI agents. Each agent has a defined scope, quality obligations, and review criteria. A PM dispatcher routes work to the right agent based on the task. Every deliverable passes through QA and specialist review before delivery.

The agent roster includes:

• Intelligence agents: Keyword Researcher, SERP Analyst, Technical Auditor, Analytics Lead
• Strategy agents: Content Strategist, On-Page Optimizer, Link Strategist, Programmatic SEO Specialist
• Production agents: Research Analyst, Long-Form Writer, Short-Form Specialist, Editor, Brand Voice Keeper
• Quality agents: QA (hard-gate rejection authority), Specialist Reviewer (independent fresh-eyes audit)
• Infrastructure agents: Server Ops, Security Auditor, Penetration Tester
• Integration agents: Search console data, SEO intelligence API, UX/CRO Analyst

Compliance is mechanical, not aspirational

Content quality is not a suggestion in this system. It is enforced at two levels:

Pre-commit hooks check 60+ content compliance points before anything can be saved: directive language detection, intro length requirements, AI voice pattern scanning, competitor mention flags, and brand voice adherence.

CI gates run lint, test, and compliance checks on every push. If any check fails, the deploy is blocked. There is no way to publish non-compliant content.

The live dashboard

The platform includes a client-facing dashboard built on a Node.js backend with PostgreSQL. Task tracking, KPI monitoring, and real-time updates via server-sent events. The client can see exactly what is being worked on, what has shipped, and what the numbers look like, without waiting for a monthly report.

Automated monitoring

Beyond content production, the platform runs automated monitoring on three cadences:

• Daily: Search console and analytics data pulls. Catch ranking drops within 24 hours
• Weekly: Core Web Vitals monitoring. Performance regressions surface before they affect rankings
• Monthly: Competitive intelligence. Track competitor movements and keyword opportunity shifts

Results

156 structured deliverables produced across 14 engagement phases: technical audits, keyword maps, content briefs, blog posts, product descriptions, category copy, and link building reports.

Search-console-verified performance. Average position improved from 10.0 to 9.5. Weekly clicks reached 1,388. Brand searches ranking at position 1.2.

133 passing tests across smoke, logic, API, and penetration test categories. 46 of those are security penetration tests.

60-point content compliance gate enforced at pre-commit and CI. Zero non-compliant content has reached production.

8 CI/CD workflows running across the platform, from daily monitoring pulls to monthly competitive reports, all automated.

Engagement model: built and operating. We built the full agent platform, produced the initial 156-deliverable set, and deployed the automated monitoring cadences. The daily, weekly, and monthly monitoring runs automatically without manual intervention. Content production continues as needed.