Building a Full SEO Research Pipeline with OpenClaw

Good SEO research means pulling from several sources at once: what people are searching for, what competitors are publishing, what’s trending in the news. Doing that manually takes a while. With AgentPatch connected, OpenClaw can run the whole pipeline from a single message.

Why This Matters

The typical SEO research process involves a handful of separate tools: a keyword planner, a news aggregator, some trend data, a few manual Google searches. Each one is a separate tab and a separate account. It takes time to stitch the results together.

OpenClaw with AgentPatch can run those searches concurrently and summarize the findings in one response. You ask the question once; the bot uses whatever combination of tools it needs.

Setup

The AgentPatch CLI is designed for AI agents to use via shell access. Install it, and your agent can discover and invoke any tool on the marketplace.

Install (zero dependencies, Python 3.10+):

pip install agentpatch

Set your API key:

export AGENTPATCH_API_KEY=your_api_key

Example commands your agent will use:

ap search "web search"
ap run google-search --input '{"query": "test"}'

Get your API key from the AgentPatch dashboard.

Install the AgentPatch skill from ClawHub — it teaches OpenClaw when to use AgentPatch and how to use the CLI:

clawhub install agentpatch

MCP Server (Alternative)

If you prefer raw MCP tool access instead of the skill, add AgentPatch to ~/.openclaw/openclaw.json:

{
  "mcp": {
    "servers": {
      "agentpatch": {
        "transport": "streamable-http",
        "url": "https://agentpatch.ai/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_KEY"
        }
      }
    }
  }
}

Replace YOUR_API_KEY with your actual key from the AgentPatch dashboard. Restart OpenClaw and it discovers all AgentPatch tools automatically.

Example

You’re working on content strategy for a productivity app and message your OpenClaw bot on Telegram:

“Run an SEO research pass on ‘AI productivity tools’. What are people searching for, what’s trending, and what’s in the news?”

The bot gets to work across multiple tools:

Searching Google for "AI productivity tools" — checking top-ranking content...
Checking Google Trends for "AI productivity tools" — pulling trend data...
Searching Google News for "AI productivity tools" — finding recent coverage...

Here's the picture:

Search landscape: Top results are comparison listicles and "best of" roundups.
Most rank for long-tail variants like "AI tools for remote workers" and
"AI writing assistants for teams". High competition on head terms.

Trends: Interest in "AI productivity tools" is up 34% over the last 90 days.
Related rising queries: "AI task manager", "AI meeting notes", "AI email assistant".

News: Recent coverage is dominated by enterprise announcements (Microsoft 365 Copilot
updates, Notion AI expansion). Independent tools getting less press lately.

Takeaway: Long-tail content targeting specific workflows ("AI tools for async teams",
"AI meeting summarizer comparison") is the open opportunity right now.

That’s a full research brief from one message — no tab-switching required.

Wrapping Up

Connecting AgentPatch to OpenClaw turns it into a multi-source research assistant. The SEO pipeline above uses three tools; the same connection gives your bot access to everything else on the marketplace too. Check out agentpatch.ai to see what’s available.

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