Listening to how customers actually talk would be my pick. Voice and conversational searches reveal phrasing, pauses, and follow-ups that typing never shows. By logging spoken queries, clicks, and read-aloud results we'd see which product answers satisfy intent and which cause users to rephrase or drop off. That data turns into concrete wins: rewrite product snippets into natural-speech lines, prioritize short clear answers for voice responses, and surface key attributes early. We'd also tune long-tail, conversational keywords and FAQ-style content that maps to real questions.