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All case studies

Recovering a tech publisher after a Google penalty

A high-traffic tech publisher lost a large part of its traffic after a Google penalty. A clean-up strategy and an automated publishing pipeline brought the traffic back, on Google and on Bing.

3xBing traffic, from about 2,000 to 6,000+ clicks
3.5xGoogle traffic growth
557MBing impressions in the period shown
Industry
Tech publishing
Service
Recovery and SEO automation
Stack
Python, n8n, Docker, LLM APIs
Search engines
Google and Bing

The problem

The site was hit by a Google penalty after problems with how adult (NSFW) content was handled. Traffic dropped significantly, and publishing more articles by hand was too slow to turn things around.

What I did

I designed and ran a "Clean & Pivot" strategy: remove what was hurting the site, then grow with content that adds something new to the topic.

  1. Cleaned up the problem content

    The content behind the penalty was identified and handled first, so new work would not be built on a damaged base.

  2. Pivoted to information gain

    New content had to add information the existing search results did not have, instead of repeating what was already ranking.

  3. Built an automated publishing pipeline

    I built a pipeline with Python, n8n and Docker, connected to LLM APIs, that prepared content in a consistent format and removed the manual steps from publishing.

  4. Tracked Google and Bing separately

    Bing was tracked as its own channel, not as an afterthought. It became a strong traffic source, which also matters for Microsoft Copilot answers.

  • Python
  • n8n
  • Docker
  • LLM APIs
  • Google Search Console
  • Bing Webmaster Tools

The result

Under my management, Bing traffic tripled, from about 2,000 to more than 6,000 clicks, and Google traffic grew 3.5 times.

Bing Webmaster Tools chart of clicks and impressions, with a clear rise during the period of the intervention
Bing Webmaster Tools, clicks and impressions. The marked area is the period of my work on the site.
Before
  • Traffic down after the penalty
  • Manual publishing
  • Bing treated as an afterthought
After
  • 3x Bing traffic, 3.5x Google traffic
  • Automated pipeline with LLM APIs
  • Bing tracked as its own channel

What made the difference

Clean before you grow

New content on a penalized base rarely helps. Fixing the cause came first.

Automation for the repetitive work

The pipeline handled formatting and publishing, so people could focus on what to write.

Bing is not optional

Bing traffic tripled, and the same index feeds Microsoft Copilot answers.

Lost traffic, or stuck doing it all by hand?

I find what caused the drop and build the automations that let a small team publish more, without lowering quality.