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Workflows

A prioritised list is not the work. A playbook you can run is.

Every recurring AEO job is a runnable workflow: content, technical fixes, authority and outreach, monitoring, integrations and video. Launch one yourself, or run it from the task an agent queued for you.

Where it helps

  • Missed shortlist

    Run the content and schema playbooks that earn you a place in AI answers.

  • Wrong story

    Fix the facts AI repeats, from your own pages to Wikipedia and Wikidata.

  • Lost at verification

    Audit reviews and reply in communities where buyers check you.

Part of the loop

  1. Observe
  2. Diagnose
  3. Recommend
  4. Act
  5. Measure
  6. Learn
The catalogue

One job, done the same way every time.

Content

  • Brief generator
  • Content generate
  • Content writer
  • Content refresher
  • Quality checker
  • Repurpose

Technical

  • Schema inject
  • Technical check
  • Technical setup
  • Bulk CMS fix
  • Optimisation pass

Authority and outreach

  • Community reply
  • Outreach action
  • Wikipedia article
  • Review audit

Monitoring and knowledge

  • Monitoring setup
  • Share-of-voice action
  • Generate knowledge base

Integrations

  • Integration connect

Studio

  • Video Studio
How a run works

On demand or from a finding. Same approval gate either way.

  1. 01

    Launch it yourself

    Pick the playbook and run it. Each workflow pulls the data it needs from the client workspace, so you don't re-enter context the platform already holds.
  2. 02

    Or launch it from a finding

    An agent flags a problem and the task arrives with the right playbook attached. Running it is one decision, not a hunt for the right tool.
  3. 03

    Approve at the gate

    Multi-step workflows show their steps and stop for approval before anything touches a live system.
  4. 04

    Outcome tracked

    A workflow that ships a change records what it changed and your AI visibility at that moment, so the before and after is clear months later.
Why teams use them

The execution, made repeatable.

From knowing to doing

A workflow is the recommendation with the execution attached: the difference between a report you file and work that ships.

Repeatable across clients

For an agency, the twelfth client gets the same playbook as the first. Quality stops depending on who picked up the task.

Context loaded, not re-typed

Each run inherits the client's brand profile, positioning, channel guidelines and connected integrations.

Triggered by agents when you want

Wire a playbook to an AEO agent so routine maintenance starts without anyone noticing the problem first. Outbound changes still wait for approval.
Workflows and Agents

Agents find the problem. Workflows do the work.

Run on demand

Workflows

Runnable playbooks that carry out a fix, from a schema change to a Wikipedia draft to a review reply.

Always on

AEO Agents

Monitoring jobs that watch your signals, triage what matters and queue a task with the right workflow attached. See AEO Agents
Questions

Common questions

How is a workflow different from a task?
A task tells you what is wrong. A workflow does something about it. You launch it from the task, with the context loaded and the output routed to the right channel.
Do workflows run without me?
Only the analysis and drafting steps. Any step that publishes, posts or changes a live system stops for your approval first, including runs an agent started.
Which workflows are on my plan?
A core set comes with every plan and the full catalogue with higher tiers. The pricing page lists the current split.
Can I see what a workflow did afterwards?
Yes. Runs are recorded with their inputs, output, the change that shipped, and your AI visibility at the time, which is what the later before and after compares against.
Can agencies run one workflow across several clients?
Each run is scoped to one client workspace, so brand context and credentials never cross over. Bulk operations work within a client, for example a bulk CMS fix.
Next step

See a playbook run on your own finding.