103 articles in under 3 months — and 95% of them bring in traffic

How we turned content for a well-known baby and mother products store from stop-start manual work into a system that publishes every month, with full SEO standards and a review before anything goes live, at EGP 4,000 a month to run.

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  • 103articles in under 3 months
  • 95%of articles bring traffic
  • 2.3xvisits per article
  • 84%lower writing & SEO cost*
Client
a well-known baby products store
Type
Case study
Sector
E-commerce
Service
Workflow automation
Build time
1 month
Tools
n8n, Google AI models, WordPress

aizenia built an automated content system for a well-known online baby and mother products store in Egypt: it turns a content plan in Google Sheets into articles built to SEO and GEO standards, delivered as WordPress drafts that the store's team reviews before publishing. Between 1 July and 26 September 2026 it published 103 articles, 95% of which bring in traffic, at EGP 4,000 a month to run versus more than EGP 25,000 for manual writing and SEO (not counting the store team's review time).

The client

A well-known online store for baby and mother products in Egypt. We've worked with them for years: we built the website and still run it today. The goal of this project was awareness and search traffic, not direct sales.

The problem: content depended on people

The site had an archive of about 1,000 articles written over the years. Production needed a content writer, an SEO reviewer and a designer for images, at more than EGP 25,000 a month.

Even so, one month brought 30 articles, the next 10, and some months none at all. SEO standards weren't applied consistently, and 36% of the archive got no visits in the last 28 days.

The insight: the problem was consistency, not writing

In late 2025 the team tried writing with AI help and a clearer structure. Of just 33 articles, 4 became top-10 pages on the site for visibility in Google's AI results. But the work stayed manual, and it stopped after 3 months.

The system: from a plan in Google Sheets to a ready article in WordPress

  1. 1

    The team adds topics and keywords to a Google Sheet.

  2. 2

    The system builds the article outline and writes it to SEO and GEO standards, so it shows up in Google and in AI assistants' answers.

  3. 3

    Every article passes an automatic quality review.

  4. 4

    The system creates a featured image with the brand name, plus its alt text.

  5. 5

    The article lands in WordPress as a draft, and the team reviews it before publishing.

  6. 6

    The sheet updates each article's status. If a step fails, it is flagged so the team knows where the article stopped.

Built in one month. Tools: n8n, Google AI models, WordPress.

Results (1 July – 26 September 2026)

103

103 articles in under 3 months, with no month missed.

95%

95% of the system's articles bring in traffic, versus 64% of the old archive.

31.6

31.6 visits per article in the last 28 days: 2.3x the manually written archive, although the new articles are under 3 months old.

82%

82% of their traffic comes from Google search. The top article brought 705 visits in 28 days.

+23%

+23% organic search site-wide versus the same period last year, the strongest quarter in 15 months (a site-wide indicator, not attributed to the system alone).

769

Visible in AI assistants: 769 visits to the site from AI assistants this quarter. Content built to GEO standards makes the site an easier source for these tools to rely on.

4,000

EGP 4,000 a month to run the system, versus more than EGP 25,000 for manual writing and SEO (not counting the store team's review time).

Sources: Google Analytics 4 and Search Console, 1 July – 26 September 2026; we update the figures periodically. * Writing and SEO cost, excluding the store team's review time.

What happened next

Management decided to set up a new in-house department to apply AI and automation across the business.

Is your content stalled, or dependent on one person?

Let's turn it into a system that runs every month.

Book a CallFree discovery call — no obligation
Contact Us