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How Regular Content Updates with AI Helped Us Gain New Keywords and Triple Leads

Hey folks,

I wanted to share a case study about how regular updates to existing content helped us improve rankings and generate more leads in a competitive niche. This is for resources.instafill.ai, a Docusaurus site that helps people in the U.S. fill out tax and legal forms.

The niche is crowded with established competitors, but focusing on existing content instead of creating new pages made a big difference for us.

The Process

We updated 4-5 articles in November 2024, rolling out changes in 3-4 batches. The updates were generated using Hipa.ai which suggested ways to improve the content.

At first, we applied the changes manually since we didn’t yet have GitHub integration. Now that GitHub is integrated, updates can be scheduled and applied automatically. We still review all suggestions to make sure they align with our goals.

The site is built on Docusaurus, and hipa.ai fully supports both Docusaurus and Markdown-based workflows. This made it easy to apply updates with the rich text formatting native to Docusaurus.

Time Investment

The process took about 1.5-2 hours total, mostly spent reviewing suggestions and implementing changes manually.

Hipa.ai uses OpenAI’s o1-preview model, one of the most advanced models available, to analyze content and suggest targeted updates. This helped focus our efforts on actionable improvements rather than generic tweaks.

With GitHub integration now in place, we expect to save ~80% of this time in future updates.

The Results

Here’s what we saw after updating just these 4 pages:

  • Before updates: 5-10 leads/day
  • After updates: 20-30 leads/day

The increase came from:

  1. New keywords: The suggestions helped us target additional search terms.
  2. Improved rankings: Existing keywords moved up the SERPs.
  3. Better visibility: The site appeared more often in search results, which also improved credibility.

Here’s a key detail: none of the updated articles saw a decline in any keyword rankings. Every keyword either improved or remained stable, which was critical for maintaining overall performance.

Why Regular Updates Worked

Updating existing content worked well because Google seems to favor regularly refreshed pages. We noticed that rankings for the updated articles improved almost immediately.

On the flip side, new content can take longer to gain traction. Google appears to wait before fully indexing and ranking new pages, likely to assess quality. This makes updating existing pages a faster and more reliable strategy.

About the Site

The site I’m referring to is Instafill.ai Resources. It was registered in 2023 and has an Ahrefs DR of 26. While it’s relatively new, regular updates allowed us to:

  • Pick up dozens of new keywords on existing pages.
  • Boost existing keyword rankings.
  • Triple daily leads from just a small batch of updated articles.
  • Maintain stability: not a single keyword declined or lost positions during this update process.

It’s built on Docusaurus, which, combined with hipa.ai’s support for Markdown, made the process of updating and formatting articles smooth and efficient.

Next Steps

We’re now planning to update more articles to see if this approach works at scale.

In comments, I’m attaching the ahrefs and Google search console screenshots of the updated keyword positions for anyone curious about the data.

Have you tried regularly updating older content? Would love to hear your thoughts or strategies!

submitted by /u/Oleksandr_G
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