Explore SEOForge

The autonomous team

Four agents with clear jobs, bounded tools and visible handoffs.

The SEOForge team is designed like an operating system: the Supervisor controls priorities and capacity, two specialist pipelines investigate and prepare work, and the Site Experience Engineer turns approvals into validated site-native proposals.

Nothing publishes without approvalPaid product accessNo ranking guarantees

01

Workflow Supervisor

02
Content Growth
03
Search Optimization
04 · Site Experience Engineer

Every production path ends at human approval

Agent responsibilities

Different specialists create different artifacts.

01 · Workflow Supervisor

Owns queues, schedules, budgets, heartbeats, conflict resolution, retries and approval state. Finished artifact: an auditable assignment and execution ledger.

02 · Content Growth Agent

Owns opportunities, gaps, calendars, briefs, articles, editorial checks, media and conversion purpose. Finished artifact: a complete article package.

03 · Search Optimization Agent

Owns rankings, technical health, decay, refreshes, cannibalization, links, competitors and backlinks. Finished artifact: an evidence-backed optimization proposal.

04 · Site Experience Engineer

Owns framework and theme understanding, code or CMS diffs, builds, screenshots and rollback context. Finished artifact: a validated production proposal.

Real handoff

One decaying guide moves through accountable owners.

  1. 01

    Supervisor detects a priority signal and reserves a bounded run

    Evidence, owner and next state remain visible.

  2. 02

    Search Optimization verifies a sustained intent and CTR change

    Evidence, owner and next state remain visible.

  3. 03

    Content Growth supplies new source and answer-structure context if needed

    Evidence, owner and next state remain visible.

  4. 04

    Site Experience prepares the exact MDX, metadata and internal-link diff

    Evidence, owner and next state remain visible.

  5. 05

    Human reviewer accepts, edits or rejects the production proposal

    Evidence, owner and next state remain visible.

  6. 06

    Validation records deployment health and starts the observation window

    Evidence, owner and next state remain visible.

Operational transparency

See what happened without pretending a model’s hidden reasoning is proof.

  • Assignment, objective, owner and allowed tools
  • Evidence URLs, provider observations and timestamps
  • Costs, reserved capacity, retries and terminal state
  • Artifact diff, preview, validation and rollback context
  • Human decision and post-deploy measurement annotation

Paid capacity, same integrity

Every plan includes the four-agent operating model and human production boundary. Plans vary sites, tracked queries, content, media, concurrency and developer access.

Agents cannot self-approve, retrieve credentials, bypass branch protection or promise search outcomes.

Questions

Know the boundary before connecting production.

Are these general-purpose chatbots?+

No. Each agent has a bounded operational role, structured artifacts, scoped tools and explicit handoffs.

Can one agent publish another agent’s work?+

No. Production approval remains a separate authenticated human action.

What if two agents want to change one page?+

The Supervisor identifies overlapping scope, serializes or merges the work and preserves one reviewable proposal.

Do I receive all four agents on Starter?+

Yes. Plans change operating capacity, not the core safety model.

Do the agents guarantee rankings?+

No. They prepare and measure controlled improvements; search engines determine distribution.

Paid deployment · human authority

Deploy the complete team—not a disconnected set of AI tools.

Choose a paid plan, connect scoped providers and keep explicit authority over every production change.