The goal: Earn visibility in an enterprise-dominated category
Software testing and code quality is a category largely controlled by established enterprise vendors with greater scale and brand recognition.
The objective was to strengthen visibility across AI-generated recommendations and increase representation in category-level conversations.
The solution: Increase visibility where AI gets its information
We examined the sources, citations, and content patterns shaping AI-generated recommendations within the software testing category.
This helped identify:
- The publications most frequently referenced by AI systems
- Citation gaps competitors were overlooking
- Opportunities to increase visibility across trusted industry resources
The company then secured 70+ targeted placements across developer publications, QA resources, comparison pages, and industry websites.
The result: Owning the majority of category mentions
The company captured 57% share of voice and appeared in 60% of tracked buyer prompts.
Despite competing against substantially larger vendors, it earned the majority of category mentions in AI-generated answers and established itself as one of the most visible brands in the market.