Strategy question
How would you handle publisher relationships when Perplexity summarizes their content?
- Perplexity
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Strategic judgment balancing a product's core value proposition against the ecosystem it depends on for content.
How to approach it
- Name the tension: summarizing publisher content without driving proportional traffic back risks alienating the very sources Perplexity depends on for quality answers.
- Segment publisher relationships: large publishers with negotiating leverage, and smaller publishers who need visibility and traffic to survive.
- Propose a revenue-sharing or licensing model for major publishers, directly compensating for content used in answers, similar to deals already emerging in the industry.
- Propose stronger, more prominent citation and traffic-driving design for all publishers, making it easy and appealing for users to click through to the original source.
- Define success: publisher partnership count and outbound click-through rate to cited sources, tracked as a health metric, not just answer quality.
What a strong answer includes
- Treats publisher relationships as a strategic dependency, not just a legal risk, since content quality depends on publishers continuing to produce it.
- Proposes differentiated treatment for large versus small publishers, since a single one-size deal does not fit an organization with vastly different needs.
- Names licensing and revenue-sharing as a concrete mechanism, referencing that similar deals already exist in the industry as a credible precedent.
- Sets a dual metric, partnership count and citation click-through rate, treating publisher health as something to actively monitor, not a side effect.
Common mistakes
- Treating this purely as a legal compliance question rather than a strategic ecosystem-health question.
- Proposing a single flat solution that ignores the very different needs of large versus small publishers.
Likely follow-up questions
- How would you handle a major publisher that refuses to license content at all?
- What would you do if traffic-driving design hurt Perplexity's own answer-completion rate?
More strategy questions
- Perplexity made Comet free in 2026. How would you monetize an AI browser without hurting the experience?Perplexity · Strategy · Hard
- How should Perplexity compete with ChatGPT's built-in web browsing?Perplexity · Strategy · Hard
- How would you grow Comet Enterprise adoption inside large companies?Perplexity · Strategy · Hard
- You believe Perplexity’s core agentic experience could unlock value for an enterprise knowledge-work use case, such as competitive research or internal document synthesis. How would you decide whether that opportunity deserves investment now, and what tradeoffs would you make between enterprise-specific requirements and keeping the everyday core product fast, intuitive, and cohesive?Perplexity · Strategy · Hard
- Users often start a task on mobile and expect to continue it later on web, but today the experience feels fragmented. How would you define the cross-device product direction, decide what state and context must persist, and prioritize the first release across iOS, Android, web, and backend teams?Perplexity · Strategy · Hard
- Suppose user research shows strong demand for one-click agent execution, but design wants a highly autonomous experience while engineering believes current reliability only supports a confirmation-based copilot. How would you decide what version to ship first, and what evidence would you require to expand autonomy over time?Perplexity · Strategy · Hard
More questions from Perplexity
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop