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NewCore v1.8.1Core v1.8.1 — MCP server, workspaces, billing, and operator visibilityRead release notes →
Operations

An AI SEO operations system, not another insights dashboard

Observe → recommend → prepare → review → deploy → verify. WebmasterID Core measures, Agent prioritises, Claude prepares, you ship. Every change runs through operator approval.

The lifecycle

Six steps, deterministic, audited

Every transition is operator-triggered. Every step writes to admin_audit_logs. The Agent never deploys on its own.

  1. Detect

    WebmasterID Core ingests events, bot visits, AI referrals.

  2. Prioritise

    The Agent dedupes, scores, and surfaces the top 10 actions.

  3. Prepare

    Snapshot the recommendation + repo mapping + verifyBefore + rollback.

  4. Execute

    Operator pastes the prompt into Claude; reviews the diff.

  5. Verify

    Operator deploys manually; clicks Verify deployment.

  6. Remember

    Memory writeback updates rule confidence; re-audit tracks regression.

Who fits

Operators, not consumers

The system is operator-focused. If you treat your site like infrastructure, this fits. If you want a one-click consumer dashboard, it does not.

  • Indie founders running 1–5 sites who want Claude to draft the fix.
  • SEO ecosystems shipping operational improvements across many sites.
  • AI-native sites where AI-crawler activity is its own surface.
  • Teams who want a paper trail (admin audit logs, execution lifecycle).
Safety

Review-first by design

The Agent helps prepare and control website improvements with Claude. It does not deploy changes without operator approval. There is no autonomous deploy.

FAQ

Frequently asked

What is an AI SEO operations system?
A system that combines analytics + AI-derived recommendations + Claude-prepared code changes + operator approval. WebmasterID Core ingests events; the Agent surfaces prioritised recommendations; Claude prepares the diff through MCP; the operator reviews and deploys.
How is this different from generic SEO software?
Classic SEO tools surface insights and stop. This system runs the full operational loop — observe → recommend → prepare → review → deploy → verify — while keeping a human in the loop on every change.
Why review-first?
AI agents make mistakes. Autonomous deploy turns those mistakes into production outages. Review-first means Claude prepares; you ship. Speed without surprise.
Do I have to use Claude?
No. The Agent itself runs without Claude — recommendations, repo mappings, execution lifecycle, audit logs. Claude through MCP is the optional acceleration layer.

Ecosystem

Built for operators

AI SEO operations + Agent + Claude compose with the rest of the operator stack.

Pocket Manager also on Google Play.