AI visibility, tailored to how
your industry gets recommended.
Every category has different signals AI models weigh most—reviews for local services, specs for SaaS, availability for retail. CitiQ adapts what it measures and simulates to match how your industry actually gets chosen inside AI answers.
See what CitiQ tracks for you.
E-commerce & Retail
Product recommendations inside AI answers depend on structured pricing, availability, and review data—not just SEO content.
What CitiQ Measures“What's the best noise-cancelling headphones under $200 right now?”
Retailers that close structured-data gaps typically see comparison-table inclusion rise fastest among all fixes.
Patterns that hold no matter what you sell.
Structured data completeness is the strongest single predictor of citation inclusion across categories.
Fresh, dated content consistently outperforms static evergreen pages in AI retrieval.
Third-party review density influences recommendation rate more than on-site copy alone.
Clear entity-to-category mapping reduces misattribution and competitor confusion in answers.
A mid-market direct-to-consumer brand closed its top five entity and structured-data gaps identified by CitiQ. Over the following quarter, its AI Answer Share and citation frequency moved substantially—illustrating the kind of shift closing high-priority gaps can produce.
See how CitiQ maps to your industry.
Get a benchmark tailored to the signals that actually move recommendations in your category.
Get Your Industry Benchmark