Need a custom made SEO blog post writing automation

Jobs
1

Hello,

I know there are many automation possibilities, and we would like to explore whether any of them can be adapted or improved based on the tasks I described below.

We plan to use these blog posts on our website and also for backlinking on news and media websites.

We are looking to hire a person who can help us build and advise on this type of SEO blog writing automation.

Make keyword research based on competitor websites, Reddit, and YouTube.
Create a structured list of blog article opportunities, clearly showing the main keyword each article is targeting.

Automatically generate full SEO-optimized blog posts based on selected topics.
Each article should include relevant visual content such as diagrams, comparison images, educational graphics, and other informative visuals or natural real life AI generated photos.

Automatically insert internal links to relevant website categories and products to ensure proper internal backlinking and strong SEO structure.

Send generated articles for approval to Telegram

The approval message must include:

  • Link

Additionally, include a Google Drive link containing that day’s generated files.
Files must be in Word (.docx) format and include:

  • List of generated articles

  • Meta title

  • Meta description

  • Main keyword

  • Secondary keywords

  • Full blog text

  • All images used in the article

  • Clearly structured formatting

  • A dedicated “Sources” section with all referenced sources and clickable links

Alternatively, generate only keyword opportunities — especially keywords that competitors are not ranking for.
Also verify that we are not already ranking for those keywords before suggesting them.

Always maintain our brand voice, tone, and writing style consistency.

3 Likes
2

If you need i am available here:

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3

Hey @Anatol_Kupin, from the project description, i can see you clearly want a custom made SEO automation/workflow. I can build this out for you, and here is exactly what I’d include:

  • Scrape Reddit, your competitor website, and youtube to find relevant videos and articles based on keywords you’d like to target (both longtail and shortail)
  • Generate the SEO-optimized blogposts following your preferred structure, writing style and brandvoice
  • Generate images and visual content with google nanobanana (or any other model you’d prefer)
  • Scrape a database of your website links and blog content to identify baclink oppourtunities
  • Upload the final content to google docs/google drive
  • Finally, send a link to your telegram DM/Channel or Group for approval.

Happy to start working on this for you.

Contact me:
Email: [email protected]
Telegram: Telegram: Contact @whiskey345
Book a call: 30 min meeting | Ola | Cal.com

4

Hi @Anatol_Kupin,

While I haven’t built an identical system before, I have 5+ years of experience with Python and 2+ years building advanced automations in n8n, including AI-driven content generation, keyword research, and integrations with platforms like Google Drive and Telegram (you can see some of these projects at my website caiov.dev)

That said, I’m confident I can design a workflow that covers all the steps you mentioned. Also, I don’t know if you already have a n8n instance, but I can include in this job the self hosted setup if you wish to.

Please feel free to reach out at [email protected] if you think I can contribute to your project.

Best regards,

Caio Valadares

Automation Engineer | n8n | Python | SQL | Javascript

Website: caiov.dev

Email: [email protected]

Upwork: View my profile

Book a Meeting: Schedule here

5

Hi @Anatol_Kupin,

Great brief — SEO blog automation is one of the areas where n8n really shines because you can control every step of the pipeline without vendor lock-in.

A few architecture thoughts based on building similar systems:

Content Research Layer: Scraping Reddit/competitor sites for topic ideas is the right approach, but the real value is in the scoring logic. I would build a node that cross-references scraped topics against Google Search Console data (or Ahrefs/SEMrush APIs if you have them) to prioritize topics with actual search volume and low competition. This prevents generating content nobody is searching for.

Generation Pipeline: The key detail most people miss is that a single AI call produces mediocre SEO content. What works is a multi-step chain: (1) outline generation with target keywords plus competitor analysis, (2) section-by-section writing with specific instructions per H2, (3) an optimization pass that checks keyword density, internal linking opportunities, and readability scores. Each step is a separate n8n node so you can swap models or tweak prompts independently.

Quality Control: For backlinking on news/media sites specifically, you need a plagiarism and AI-detection check node before publishing. Tools like Originality.ai have APIs that integrate cleanly into n8n workflows.

Publishing: n8n has native WordPress nodes, and you can build custom HTTP nodes for most CMS platforms. I typically include a staging review step where content goes to a Google Sheet or Notion board for human approval before auto-publishing.

I have built end-to-end content pipelines like this for clients — including one that generates 20+ SEO-optimized articles per week with human-in-the-loop quality gates. Happy to discuss scope and timeline if you would like to connect.

6

You can make this work in n8n, but the key is to separate it into a safe research layer (real sources + de-dup checks) and a generation layer (structured outputs + internal linking + approvals) so you’re not publishing “LLM guesses.”

I’d build it as a modular pipeline:

1st, a Keyword & Opportunity Finder workflow that takes your competitor domains + seed topics and pulls signals from (1) competitor pages (titles/H2s/FAQs), (2) Reddit threads (questions/phrases), and (3) YouTube (titles/descriptions/transcripts where available). It clusters these into article opportunities with one primary keyword each, plus secondary keywords and search intent. Before it suggests anything, it runs a “do we already rank?” check using your preferred source (Google Search Console API if available, or a rank tracker/SerpAPI), and it flags “already ranking” vs “new opportunity” so you only write what matters. This is also where we filter for “competitors not ranking” by comparing their visible content coverage and the SERP footprint you care about.

2nd, an Article Generator workflow that only runs on approved topics. It generates: meta title, meta description, outline, and the full article in a strict schema, then produces visuals (diagrams/comparison images/educational graphics + optional realistic AI photos) and saves everything to a daily Google Drive folder. Internal linking is handled deterministically: we ingest your website categories/products once into a small index (URL, anchor rules, category mapping), then the workflow inserts internal links based on intent + topic, with constraints like “max 3–6 links,” “no repeated anchors,” and “only link to relevant pages.”

3rd, an Approval & Packaging workflow: n8n sends a Telegram approval message with the doc link(s) and the Google Drive folder link for that day. Each article is exported as a .docx with clean formatting and includes exactly what you listed: the keyword set, metadata, article body, all images used, and a dedicated Sources section with clickable links. Once approved, you can either publish to your CMS automatically or keep it as “approved content ready for upload” depending on your preference.

To keep brand voice consistent, I’d start by creating a small “brand voice memory” file (tone rules, forbidden phrases, examples of good intros/outros, formatting preferences) and enforce it through structured prompts + a post-generation style-check step. For reliability, every run is logged (what sources were used, what was generated, what was approved), and failures go into an exception queue so nothing gets silently dropped.

If you want to start lean, I’d begin with Keyword Opportunities only (with competitor gap + “are we already ranking?” checks) and the Telegram approval loop. Once you’re happy with the quality of opportunities, we turn on full article + visuals generation.

If you share 2–3 competitor sites, your website categories/products sitemap (or a URL list), and 2–3 sample articles that represent your brand voice, I can map the exact schema for opportunities + docx output and the approval message format.

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7

@Anatol_Kupin Hi Anatol,

This is definitely doable — but it needs to be built carefully so it doesn’t turn into low-quality AI spam.

I’ve worked on AI automation systems using n8n where research, content generation, validation, formatting, and approvals are all connected into one clean workflow.

From what you described, I’d approach it like this:

• First build a keyword research layer (competitor analysis, Reddit, YouTube mining, SERP gaps, and checking whether you already rank).
• Then structure each opportunity properly before generating content — so it’s intent-driven, not random AI output.
• Generate full SEO-optimized articles with meta titles, descriptions, primary/secondary keywords, internal links inserted dynamically, and a proper sources section.
• Automatically generate visuals (diagrams, comparison graphics, contextual images).
• Export everything into structured .docx files.
• Upload to Google Drive and send a Telegram approval message with all links included.

The important part is maintaining brand voice and quality control — otherwise automation can actually hurt rankings instead of helping.

Before giving a fixed proposal, I’d need to understand:

– Your niche
– Target volume per month
– Current CMS
– Whether you have brand voice guidelines
– Access to competitor domains or SEO tools

If you’d like, we can have a short call to clarify scope and I can then share a structured milestone-based proposal.

You can reach me directly here:
Project demos: https://muhammad-ai-automations.notion.site/Muhammad-Bin-Zohaib-AI-Automation-Projects-29da292a241380f889c2e337a134c010
Email: [email protected]
WhatsApp: +92 3360327970

Looking forward to hearing more about the project.

8

Hey Profile - Anatol_Kupin - n8n Community,

I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.

I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.

Here, have a look at my website and you can book a call with me there!

Talk soon!

9

I’ve already built this for you. I use a dataforSEO subscription and I can demo it tomorrow. Get in touch.

10

Hi Anatol,

I’m Milan, with 8 years of experience in Business Automation and AI. Including 2 years at Apify working on enterprise-level browser automation.

Currently specializing in n8n, but also proficient in Python & Javascript.

Find out more about my work here:

If you think I might be a match, please:

Book a call here with me here. Or reach out at: [email protected]

Looking forward to hearing from you!

11

Hi @Anatol_Kupin,

This is a project I can build end-to-end. I’ve built SEO content automation pipelines that handle exactly this flow — from keyword research through to formatted article delivery with approval gates.

Here’s how I’d architect this for you:

1. Keyword Research Engine

  • Pull competitor keyword data via SEMrush/Ahrefs/DataForSEO API
  • Scrape Reddit threads and YouTube video titles/descriptions for trending topic signals
  • Cross-reference against your existing rankings to find gap opportunities (keywords competitors rank for, you don’t)
  • Output: structured spreadsheet of article opportunities with target keyword, search volume, difficulty, and content angle

2. AI Article Generation Pipeline

  • Take approved keywords and generate full SEO-optimized articles using Claude/GPT-4 with custom prompts tuned to your brand voice
  • Auto-generate meta title, meta description, H2/H3 structure, and secondary keywords
  • AI-generated visuals: diagrams (via Mermaid/draw.io), comparison images, educational graphics using DALL-E/Midjourney API
  • Auto-insert internal links to your website categories and product pages based on a mapping table you maintain

3. Approval & Delivery Workflow

  • Send each generated article to Telegram for review with: article preview link, meta data summary, and approve/reject buttons
  • On approval: auto-export to Google Drive as formatted .docx (Word) with all images embedded, sources section, and keyword metadata
  • Daily batch: Google Drive folder with that day’s articles + summary sheet

4. Quality Controls

  • Brand voice consistency via custom system prompts with your tone/style guide
  • Duplicate keyword checker (won’t target keywords you already rank for)
  • Source verification — all referenced sources include clickable links
  • Internal link validation (checks that target URLs are live)

About me: I’m Priyanshu, founder of Evara AI (incubated at IIT Bhubaneswar). I build custom AI automation systems — code-first approach with n8n for orchestration. This type of content pipeline is exactly what we specialize in.

Happy to jump on a call to discuss your website structure, brand voice guidelines, and preferred keyword tools. I can have a working prototype within the first week.

Priyanshu Kumar | Evara AI