Introducing Agents in Orchly AI

Orchly has always been good at finding opportunities.

The prompts you're missing. The pages losing visibility. The content that needs updating. The fixes that could move the needle.

The feedback we kept hearing was simple:

"Can you just do it for me?"

Today, the answer is yes.

We're launching Agents, AI workers that turn Orchly's insights into action. They can research, write, refresh content, add links, generate reports, and publish work where it needs to go.

This is a big step for Orchly.

We're no longer just helping you identify what to do next. We're helping you get it done.

What an agent is made of

Every agent is built from four parts. Learn them once and the whole builder makes sense, because everything else is a variation on these four.

1. A model, the brain. Pick Claude, GPT, Gemini, or DeepSeek for the job in front of you. A long research piece and a quick translation do not need the same model, and now they do not have to share one.
2. Abilities, what it can reach. These are the data sources and tools the agent is allowed to use: web search, Google Search Console, your analytics, publishing, Slack. Many abilities only appear once the matching integration is connected, which is the system's way of keeping an agent honest about what it actually has access to.
3. A trigger, when it runs. By hand for a one-off, on a schedule for recurring work, from a webhook when another system should kick it off, or by chat when you would rather just ask.
4. An output, where the work goes. A review queue, or straight to a destination. Agents publish to WordPress, Webflow, Framer, Sanity, Ghost, Slack, or email, so the finished work lands where it belongs instead of sitting in copy-paste limbo.

The agents you start with

You do not start from a blank canvas. Every workspace comes with a set of ready-made agents. Run them as they are, or duplicate one and shape it to how you work.

• 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 your review.
• Article Refresher. Takes a decaying or under-cited page and updates it 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 a page into another language, localized and on-brand.

How Teams Use Agents

The built-in agents are a good starting point, but the real value comes from building agents around your own workflows.

1. Get a weekly visibility summary in Slack

Every Monday morning, an agent checks your visibility across Google and AI search, identifies the biggest gains and losses from the previous week, and posts a summary directly into your team's Slack channel.

Instead of logging into dashboards and assembling reports, the team starts the week with the important changes already waiting for them.

2. Turn lost prompts into content opportunities

Create an agent that watches for prompts where your visibility is low or declining. When it finds an opportunity, it researches the topic, drafts an article, and queues it for review.

The gap between discovering an opportunity and creating content around it shrinks from weeks to minutes.

3. Monitor competitors and notify the team

An agent can track competitors across the prompts and topics you care about. When a competitor starts appearing in new prompts, gains visibility, or publishes content in an area you're targeting, the agent can send a summary directly to Slack.

The team gets notified when something changes, rather than discovering it months later.

4. Keep important pages fresh automatically

Choose a set of high-value pages and schedule an agent to review them every month.

The agent can identify outdated information, recommend new sections, refresh examples, and prepare updates before the content starts losing visibility.

5. Build a content pipeline from Search Console data

An agent can review Search Console queries, identify topics where you're already getting impressions but not enough clicks, and generate content briefs around those opportunities.

Instead of manually hunting for ideas, the next set of content opportunities is continuously generated for your team.

Get started

You will find agents under Content and Action. Do not try to automate everything on day one. Start with one agent, in review mode, on one real job, ideally a prompt you are losing that you actually care about winning. Watch it work, approve what is good, and go from there. The build your first agent guide walks through the whole thing.

This is the version of Orchly I always wanted to ship. Seeing the problem was never the hard part. Closing the distance to a fix was. That distance just got a lot shorter.