How an eCommerce Software Company Went From 2.3k to 12k Monthly Clicks by Rebuilding for AI Overviews

About the Company

To protect the client’s confidentiality, we are referring to them as an eCommerce Software Company. The business operates in a competitive SaaS market where eCommerce teams search for software solutions with clear commercial intent. Because category visibility can shape both pipeline quality and acquisition efficiency, the client needed an organic strategy capable of performing in a search landscape increasingly influenced by AI Overviews.

The Challenge

At the start of the engagement, the client averaged approximately 2,300 organic clicks per month. Their growth had stagnated, and they were actively losing valuable click share as AI Overviews changed the way users interacted with search results.

This was not simply a ranking problem. The client needed to adapt its content and landing pages to a new search environment while protecting non-branded discovery, the traffic most likely to introduce the product to new buyers.

The goal was to regain momentum, reverse the click loss, and build content that could perform across conventional search and emerging AI-led discovery experiences.

The Strategy

Our strategy was focused on adapting to the new search landscape by reverse engineering AI Overviews and restructuring content to capture both traditional and AI-driven discovery.

Our strategy included:

•AI Overview Optimization: We reverse engineered AI Overviews to understand how the changing results environment affected core content, informing a broader restructuring of high-value pages.

•Content Restructuring: We prioritized pages that could capture commercial demand while strengthening supporting blog content for broader eCommerce software queries.

•Custom LLM SEO: We incorporated LLM SEO to give the client clearer, more discoverable content that could begin surfacing across LLMs as users increasingly turn to AI search for product research.

The Results

The program reversed the client’s traffic stagnation and restored meaningful growth. The client reported 2x organic traffic growth, and is now on pace for approximately 12,000 monthly organic clicks, up from 2,300 at the start of the engagement. The strategy generated $140,000 in revenue attributable to organic traffic during the reporting period.

The client now has a more adaptive organic growth model. Rather than treating AI Overviews as a permanent loss of traffic, they are using a restructured content system to win back click share and create new paths to product discovery.

Future Growth Trajectory

The next phase is focused on applying the same AI Overview-informed approach to additional landing pages and blog content. With non-branded traffic already up 80% quarter over quarter, each new optimized asset has the potential to expand the client’s visibility across search and support continued LLM discovery.