Manual research
Staff had to monitor technology topics and decide what was worth writing about.
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Case study
Automated Website Blogs
The client needed a more consistent way to publish relevant hardware content for SEO. I built an AI-assisted workflow that reads hardware news feeds, filters out poor-fit topics, prepares blog metadata, generates paraphrased HTML content, writes it into the CMS, and publishes after success checks.
IndustryTechnology content and ecommerce
Company sizeGrowing SME
DepartmentMarketing and content
Overview
A slow content process became a repeatable SEO publishing workflow.
The system helped the client turn relevant hardware news into website-ready content without manually researching, filtering, formatting, and uploading every article from scratch.
The business problem
Consistent SEO content required too much manual research, filtering, and CMS work.
Publishing useful content takes topic monitoring, relevance checks, metadata preparation, article formatting, CMS creation, content upload, and publish confirmation. Without a system, the process becomes inconsistent.
Inconsistent publishing
Content output depended on available time instead of a reliable workflow.
SEO opportunity cost
Relevant topics could be missed or published too late to support traffic growth.
Low-value topic risk
Deals, discounts, gaming-only stories, and clickbait topics could dilute the content strategy.
Formatting overhead
Each article needed clean HTML, source attribution, readable structure, and CMS-ready content.
Publishing reliability
The team needed confirmation that content was created, written successfully, and published in order.
Challenges
The workflow needed speed without low-quality AI content.
- Source qualityThe system needed to work from credible topics and avoid low-value content scraping.
- Brand relevanceNot every tech news item was useful for the client's audience.
- Human reviewAI could assist drafting, but the business still needed editorial control.
- SEO formattingPosts needed structure, titles, excerpts, and publishing metadata.
- Topic filteringThe workflow needed to reject discount-heavy, promotional, software-only, entertainment, and clickbait items.
- Originality and attributionGenerated articles needed to be paraphrased and attribute the source instead of copying publisher text.
- CMS sequencingThe workflow had to create the blog record, write the article body, check success, wait, and publish in the correct order.
Solution
An AI-assisted RSS-to-CMS publishing pipeline with relevance checks.
The workflow runs on a schedule, reads a hardware news RSS feed, randomly selects an article, and uses AI to decide whether the topic is genuinely useful for a PC hardware audience.
If the topic passes, the system prepares a clean blog payload with a paraphrased title, short intro, author, content type, category, year, and thumbnail. It then creates the blog record in the CMS.
A second AI step generates a structured, paraphrased HTML article with source attribution, short factual sections, relevant images when available, and no CSS or markdown. The workflow writes the content, verifies the update, waits, then publishes.
System architecture
From hardware news feed to published website content.
The architecture connects scheduled RSS reading, relevance filtering, metadata generation, HTML drafting, CMS writing, success checks, and publishing.
Scheduled trigger
RSS feed
Topic filter
Blog metadata
HTML article
CMS write check
Publish post
Business results
The client gained a more reliable content engine.
- Reduced content adminResearch, drafting, and formatting became less manual.
- More consistent publishingThe team had a repeatable workflow for SEO content creation.
- Better topic visibilityRelevant technology topics could be reviewed in one place.
- Editorial control preservedHuman review remained part of the workflow before publishing.
- Cleaner topic selectionThe workflow filtered out promotional, discount-led, or poor-fit articles before creating posts.
- More reliable publishingContent creation, body writing, success checking, and publishing followed a predictable sequence.
Technologies
The tools supported content operations.
n8nOpenAIGPT-5 miniRSS feedAI agentCMS APIScheduled triggerJavaScript
Gallery
The workflow shows the business value.
Useful visuals include RSS selection, topic validation, metadata creation, HTML drafting, and publishing status.
Before and after workflow
BeforeManual research, filtering, writing, formatting, upload, and publishing.
AfterRSS topics are filtered, drafted into HTML, written to the CMS, and published.
Content queue
TopicHardware-relevant RSS item selected
PayloadTitle, intro, author, category, year, and thumbnail prepared
PublishCMS write succeeds before publishing
Quality rules
AllowHardware releases, benchmarks, component updates, and technical insights
RejectDeals, discounts, clickbait, software-only, and poor-fit stories
ProtectParaphrase content and attribute the original source
Why this matters
SEO only works when publishing becomes operationally repeatable.
The workflow helped the client turn SEO publishing into an operational system: source topics consistently, reject poor-fit articles, prepare clean content, and publish through a controlled CMS process.
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