Our Strategy
Rather than searching for brands, consumers look for products and comparisons. UNIONBAY needed to appear in those searches and remain visible as discovery expanded into AI-generated results.
To help them compete against large retailers already dominating results, we focused on three priorities:
- Capture high-intent product and comparison searches through targeted page optimizations.
- Improve content structure to increase visibility in AI-driven results.
- Strengthen technical clarity to improve search performance across platforms.
We targeted high-volume terms like “cargo pants” and “men’s cargo shorts,” refining product and content pages to align with how shoppers search and evaluate options. This positioned UNIONBAY to compete directly with larger retailers for purchase-driven queries.
We then restructured five high-value pages to make key information easier to extract. Clear headings, concise summaries, and modular sections improved how AI systems interpret and surface content, increasing citation potential.
Alongside these content efforts, we resolved schema issues and improved page structure, strengthening visibility across both traditional results and AI-driven search.
The Results
Targeting high-intent product and comparison searches drove a 2,070% increase in top-three rankings, including No. 1 positions for “chinos vs khakis,” “best cargo shorts,” and “best cargo pants for men.” These gains allowed UNIONBAY to outrank Amazon and Macy’s for key purchase-driven queries.
