Generate SEO blog posts automatically with AI and Ahrefs

Turn keywords into full blog posts with AI. Automate research, writing, and SEO optimization. Publish directly to WordPress or Notion.

AhrefsAhrefs
OpenAIOpenAI
NotionNotion
Use this template
Created by
Miniloop Team

Triggers on a manual

When target keyword is submitted
AhrefsPull SERP data and competitor analysis
OpenAICreate structured heading hierarchy
OpenAIGenerate complete article content
OpenAICheck keyword density and readability
NotionExport formatted article for review
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Stop staring at blank pages. This workflow takes a target keyword, researches top-ranking content with Ahrefs, and uses AI to write a complete, SEO-optimized blog post. The finished article is saved to Notion or published to WordPress, ready for your review.

1
Ahrefs

Research keyword and top-ranking content with Ahrefs

The workflow starts by querying Ahrefs for your target keyword. It pulls search volume, keyword difficulty, search intent, and analyzes the top 10 ranking pages. The AI examines their word counts, heading structures, topics covered, and content gaps to identify what your post needs to outrank them.

2
OpenAI

Generate optimized blog outline with OpenAI

Using the competitive analysis, OpenAI generates a detailed blog outline optimized for your target keyword. The outline includes an engaging title, meta description, H2/H3 heading structure, key points to cover under each section, and recommended word count. The structure is designed to match search intent and outperform existing content.

3
OpenAI

Write full blog post with AI

The AI writes the complete blog post following the approved outline. It creates an engaging introduction with a hook, detailed body sections with examples and data, smooth transitions between sections, and a compelling conclusion with a call-to-action. The content naturally incorporates your target keyword and related terms for SEO.

4
OpenAI

Optimize content for SEO with AI analysis

Before finalizing, the AI reviews the post for SEO optimization. It checks keyword placement in the title, headings, and first paragraph. It verifies readability scores, suggests internal linking opportunities, recommends image alt text, and ensures the content matches the target search intent.

5
Notion

Save completed blog post to Notion

The finished blog post is saved to your Notion workspace as a new page in your content database. It includes the formatted article, meta description, target keywords, suggested images, and internal links. Your team can review, edit, and approve before publishing.

Why automate blog writing with AI?

Creating high-quality blog content is time-consuming. Research, outlining, writing, and optimization can take 4-8 hours per post. AI automation handles the heavy lifting while you focus on strategy and refinement.

Publish more content without more writers

Scale your content output from 4 posts per month to 20 or more. AI handles the first draft so your team can focus on editing, adding unique insights, and maintaining quality.

Never start from a blank page again

Writer's block kills productivity. With AI-generated drafts based on competitive research, you always have a solid starting point. Edit and improve rather than create from scratch.

Build SEO-optimized content by default

Every post is researched against top-ranking competitors and optimized for your target keyword. No more forgetting meta descriptions or keyword placement. SEO best practices are built into the workflow.

How to set up automated blog post generation

Setting up this AI blog writing workflow takes about 15 minutes. You'll connect your Ahrefs account, configure your brand voice, and set up your Notion content database.

What you need to get started

  • Ahrefs account for keyword and competitor research
  • OpenAI API key for content generation
  • Notion workspace for content management
  • Your brand voice and style guidelines documented

Configuring your content preferences

  1. Define your brand voice and tone (professional, conversational, technical)
  2. Set default word count targets for different content types
  3. Specify your internal linking strategy and key pages
  4. Configure formatting preferences (subheadings, bullet points, etc.)
  5. Add any topics or angles you want to emphasize or avoid

Tips for best AI blog post results

  1. Provide clear keywords with specific search intent
  2. Review and customize the outline before full generation
  3. Add your own examples, case studies, and data points
  4. Edit the AI draft to include your unique perspective
  5. Always fact-check statistics and claims

Frequently asked questions about AI blog generation

Will the content sound robotic or generic?

With proper brand voice configuration, AI-generated content can match your style closely. The key is providing detailed guidelines and treating AI drafts as starting points. Add your own examples and insights to make each post unique.

Can AI write about technical or niche topics?

AI performs well on most business and marketing topics. For highly technical or specialized subjects, you may need to provide more context or do heavier editing. The competitive research step helps the AI understand what depth is expected.

How does this compare to hiring writers?

AI blog generation excels at research-based, SEO-focused content at scale. Human writers still add unique perspectives, original research, and brand personality. Many teams use AI for first drafts and writers for refinement and original pieces.

Can I publish directly to WordPress instead of Notion?

Yes, you can swap Notion for WordPress, Webflow, or any CMS with API access. The AI writing and optimization steps work the same. Just change the final step to publish to your preferred platform.

What about duplicate content or plagiarism?

AI generates original content based on patterns, not copying. Each post is unique. However, always review for accuracy and ensure the content adds value beyond what already exists. The goal is to create something better than competitors, not similar.