[ CASE STUDIES ]
Real results across Google and AI search
See how enterprise brands have improved rankings, recommendation placement, citation strength, and qualified traffic through audit-led strategy and coordinated execution.
Job Board AI Search Case Study
When AI-powered search began reshaping how employers discover job posting platforms, this firm didn’t just adapt, they built a measurable, repeatable system to increase its visibility and competitiveness in AI-generated recommendations.
Crypto Wallet AI Search Case Study
As AI summaries became a primary way users compared crypto wallets, this brand faced a trust risk: online negative community narratives could be pulled into AI answers at the decision moment. The team moved fast to secure measurable visibility and stronger context inside AI-generated recommendations.
Household Appliance AI Search Case Study
As shoppers increasingly relied on online communities and AI summaries to compare home appliances, this brand saw product discovery shift away from product pages alone. They partnered with CiteWorks Studio to build visibility where recommendations are formed, across high-intent public discussions and the sources AI systems reference when generating answers.
Kitchen Appliance AI Search Case Study
As buyer research moved beyond product pages and into online communities, this kitchen appliance brand saw a clear gap: real purchase decisions were increasingly shaped by what people shared, compared, and recommended in public conversations. The brand partnered with CiteWorks Studio to build presence across those high-intent decision environments, strengthening both Google visibility and the citation signals that influence AI-generated recommendations.
Tax Relief AI Search Case Study
As AI-powered search began reshaping how people compare tax relief providers, this firm faced a dual mandate: improve competitiveness on Google page 1 while also strengthening visibility inside AI-generated recommendations. CiteWorks Studio deployed a measurable AI visibility program, grounded in Citation Architecture and AI Share of Voice measurement, to strengthen how the brand appeared across both traditional search and AI answers where high-intent decisions now happen.
