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Generate and publish 10 SEO blog posts daily to WordPress with OpenAI

Auto-publishes 10 SEO-optimised WordPress articles per day from RSS sources. Runs daily without input. Built with OpenAI and Leonardo AI.

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Niche site owners need a constant stream of SEO content but hate paying per article or managing writers. This AI automation pulls fresh news, writes long-form posts, and publishes them to WordPress daily without any manual work.

What This Automation Does

  • Pulls the latest articles from major tech RSS feeds, filters them for relevance, and selects topics that match a client's niche focus
  • Generates a full 1000-1500 word SEO article per topic, complete with headers, citations, keyword targeting, and a featured snippet structure
  • Produces a matching AI-generated banner image using Leonardo AI and attaches it to each post with optimised alt text
  • Publishes each article to WordPress with Yoast SEO metadata pre-filled, including meta title, description, and slug, then logs every output to MongoDB

Tools Used

  • n8n
  • OpenAI
  • WordPress
  • Leonardo AI

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Where to Get Hired for This Skill

On Contra, top freelancers across this stack have earned 58 combined verified reviews from real client projects.

Source: Contra freelancer search · refreshed 26 May 2026

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How To Build It

Wire up RSS feeds and topic filters

The workflow ingests live article data from multiple RSS sources including BBC, TechCrunch, and Wired, normalises the feed structure, and discards anything published more than 24 hours ago so only fresh content enters the pipeline.

Classify articles against client topic list

Each incoming article passes through an OpenAI-powered classifier that scores it against a predefined set of client topics such as AI, robotics, or tech policy, ensuring only genuinely relevant articles proceed to content generation.

Generate ranked SEO titles and full article outline

An AI agent produces five long-tail SEO title candidates for each approved topic, ranks them by uniqueness and predicted performance, selects the top one, and builds a full outline with H1 and H2 structure, keyword targets, and content sections before any writing begins.

Write the article and produce a matching image

The full article is generated from the outline at 1000 to 1500 words with analogies, supporting citations, and controlled keyword density, while Leonardo AI simultaneously creates a theme-matched banner image optimised for emotional resonance and visual consistency with the client brand.

Publish to WordPress and log all outputs

The article, banner image, and complete Yoast SEO metadata are uploaded to WordPress via the REST API, the image is attached and alt text is set, the post is published, and every generation step, article version, and final URL is written to MongoDB for client reporting.

Pitfalls

  • Leonardo AI and OpenAI both enforce rate limits that kick in at scale. Publishing 10 posts per day means roughly 30-50 API calls per run, which can breach free-tier or low-tier rate caps and cause silent failures mid-batch if you have not set up retry logic and inter-request delays.
  • WordPress REST API authentication tokens expire and OAuth credentials rotate, especially on managed hosting providers. A single expired token silently drops every post for the day, so production deployments need automated credential health checks or webhook alerts when publish calls return non-200 responses.
  • AI-generated articles across a large volume run can drift toward repetitive phrasing, similar paragraph structures, or recycled analogies, which Yoast and Google's helpful content systems flag over time. Clients will eventually notice ranking drops if the prompt templates are not refreshed and output audits are not scheduled monthly.

FAQ

Can I build this without coding?

Yes. Every component uses low-code configuration inside n8n, and the WordPress and OpenAI integrations are handled through pre-built credential forms. The trickiest part is structuring the OpenAI prompts correctly, which involves writing instructions rather than any code.

How long does it take to build?

A working first version typically takes 6 to 10 hours to build and test, including RSS setup, prompt engineering, and WordPress publishing verification. A production-ready version with error handling and MongoDB logging adds another 4 to 6 hours.

What can I charge a client for this?

Pricing depends on how you package it. A one-time build and handover suits niche site owners who want to self-manage, while a monthly retainer covering hosting, maintenance, and content output is a higher-value recurring arrangement. Both models are common for this type of workflow.

Which tools are required versus optional?

OpenAI and WordPress are required since the entire content generation and publishing pipeline depends on them. Leonardo AI is optional and can be swapped for another image generation API or removed entirely if the client does not need AI images. MongoDB is optional and can be replaced with Google Sheets if the client prefers a simpler logging setup.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.

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Continue Exploring:

  1. Publish SEO-optimised WordPress blog posts with Google Gemini
  2. Route AI chat queries to the right model automatically with n8n
  3. Generate personalized outreach emails from Google Sheets with OpenAI
  4. Send AI-summarised Easy Redmine tickets to Teams with OpenAI

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