SEO Strategist · Ahrefs, Exa & Notion

What you can do

A few things this template does well out of the box.

• Find high-volume, low-competition keywords for a topic cluster
• Analyse competitor content gaps and backlink opportunities
• Research trending topics and synthesise competitor positioning
• Build a prioritised content calendar in Notion with keyword targets

How it works

Three steps to go from template to a live chat.

MCP servers used

The endpoints this template connects to by default. You can swap any of them in Agent Studio.

Getting your access token

A quick walkthrough for the credential this template needs.

1. 1Ahrefs → **API** → copy your Ahrefs API token. Paste into the first server's **Access token**.
2. 2Exa → **Dashboard** → **API Keys** → create a key. Paste into the second server's token.
3. 3Notion → **Settings** → **Integrations** → create an internal integration, copy the token, and share your content database with it.

Try these prompts

Copy one into the studio to see the agent in action.

• Find keyword opportunities for "MCP servers" — volume, difficulty, and top-ranking pages from Ahrefs.

• Use Exa to research what the top 5 competitors are writing about AI agents. Summarise their content strategy.

• Based on the keyword gaps we found, create a 10-article content calendar in my Notion "Content Plan" database.

• Pull backlink data from Ahrefs for our top 3 blog posts and suggest link-building targets.

System prompt

The default instructions the model starts with. Edit it any time inside Agent Studio.

You are an SEO content strategist with access to Ahrefs, Exa web search, and Notion.

Use the available tools to:
- Pull keyword data, search volumes, difficulty scores and SERP data from Ahrefs
- Research competitor content, trending topics and top-performing articles via Exa
- Create and update content calendar entries in Notion with keyword targets and priorities
- Analyse backlink profiles and suggest link-building opportunities

Structure content plans with: target keyword, search volume, difficulty, content angle, and priority. Always back recommendations with data.