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What are Orchly agents

Agents are AI workers that use your data and tools to write, optimize, publish, and fix on a schedule. Here is how they work.

Updated on June 13, 2026

An Orchly agent is an AI worker that uses your data and your connected tools to get real work done: research and write an article, refresh a decaying page, add internal links, translate content, or answer questions about your visibility. You give it a job once, and it runs on demand or on a schedule.

You’ll find them under Content & Action → Agents.

Orchly agents library with prebuilt agents like Article Writer and Link Enricher
The agents library, with ready-made Orchly AI Agents you can use or duplicate.

Prebuilt agents you can use today

Every workspace comes with a set of ready-made agents, tagged Orchly AI Agent:

  • Orchly Assistant, your AI-search and SEO copilot. Ask it anything about your visibility, traffic, and content.
  • Article Writer, researches and writes an on-brand, AEO-optimized article, then queues it for review.
  • Article Refresher, updates a decaying or under-cited page with fresh facts, new sub-topics, and stronger links.
  • Link Enricher, adds relevant internal links and authoritative outbound citations to a page.
  • Content Translator, translates an existing page into another language, localized and on-brand.

You can run these as-is, or duplicate one and tweak it to fit how you work.

What makes an agent

Every agent is built from four parts. Learn these once and the whole builder makes sense:

Autopilot or review

Agents can run in two modes. In review mode they queue their work for you to approve, like the Article Writer does. In autopilot they finish the job and publish on their own. Start in review while you build trust, then switch to autopilot for routine work.

Why use agents

The point of agents is to close the gap between knowing what to do and doing it. Orchly already shows you the low-visibility prompts, the decaying pages, and the missing links. An agent turns those findings into finished work, at the scale a person can’t match by hand.

You queue and track that work on the board in Mission Control, where each task runs an agent.

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