Link Building Case Study: How a Six-Step System Took a SaaS Brand From 0 Backlinks to the Top AI-Recommended Tool in Its Niche

Overview

I ran link building for a SaaS brand in a competitive, low-trust niche with zero backlink history and zero AI citations.

Links were going out every month before I took this on, and DR kept climbing, but rankings and revenue weren't moving. So instead of building more links, I stopped and looked at what had actually worked across 50+ campaigns I'd run before. The pattern was always the same: six tactics, run in a specific order, not thrown at the site all at once.

This case study breaks down that system and the numbers it produced.

The challenge

Links were going live. Reports looked solid. But nothing that mattered was changing. That's a common trap in link building: DR becomes the metric everyone watches because it's the easiest one to move, while rankings, AI visibility, and revenue sit still.

The brand had no natural backlink profile, no authority in AI answers, and organic traffic that was almost entirely branded search.

The strategy

The plan had six parts, run in order rather than all at once.

• 1Build the foundation with guest posts, prioritizing control and quality over volume.
• 2Layer in niche edits on pages that already had traffic or rankings.
• 3Get the brand named and linked in listicles and roundup content, since that's exactly what AI models pull from when generating recommendations.
• 4Run a full competitor backlink gap analysis to close proven gaps instead of guessing.
• 5Use HARO to add authority faster through a small number of high-value placements.
• 6Build data-driven linkable assets so links kept coming in without ongoing outreach.

The execution

The same six steps, in the order they were actually run.

1. 01

   Built the guest post foundation first

   Not volume, just consistent placements on sites with real traffic and real editorial standards. This gave us control over anchor text, context, and placement quality from day one, and authority started stacking month by month.

   

2. 02

   Added niche edits on relevant, already-ranking pages

   These were links inserted into existing blog posts that already had traffic or rankings, on Google, AI search, or both. This is where the first real movement showed up, and it happened fast.

   

3. 03

   Got the brand mentioned in listicles built for AI citations

   We got the brand named, not always linked, in "best [category] tools" and comparison-style roundups already ranking well. AI models draw heavily from this kind of content when answering recommendation queries, so this step mattered as much as any backlink.

4. 04

   Ran a competitor backlink gap analysis

   If a site had already linked to a competitor in this space, we knew it would link to a relevant player again. No cold pitching into the void, just closing gaps with sites that had already shown intent to link here.

5. 05

   Ran a focused HARO campaign

   We answered 12 journalist queries. Two got published, and one was picked up by a high-authority site — a single placement that carried more weight than dozens of average links.

6. 06

   Built linkable assets instead of relying only on outreach

   We created data-driven, skyscraper-style content around topics publishers were already writing about — original statistics and industry data — which earned links naturally from DR 70-90 sites with millions of monthly traffic.