Resources

Understand the decision.
Know what to change.

Guides and worked examples to understand AI recommendations, improve your product pages and choose the right approach.

Understand AI recommendations

Learn how products get discovered, evaluated and chosen.

Understand the difference between appearing in an answer and being the product it recommends.

Explore the buying situations and evidence that reveal what shapes a recommendation.

Find out whether agents discover, understand and trust your product, and why they choose an alternative.

Run useful tests and turn the findings into specific page changes.

Test named-product questions and unprompted discovery with a repeatable process.

Use your coding agent to inspect findings, change your website and retest through MCP.

Find where the buying decision breaks down, make a specific website change and check whether the next answer addresses the same concern.

A real Duolingo report finding, an implementation-ready content proposal and the checks needed to evaluate a retest.

Choose the right kind of research for the decision you need to make.

Explore recommendation testing, visibility monitoring and synthetic conversion research tools.

Know when to track your presence in AI answers and when to investigate why a buyer would choose a competitor.