AEO keyword research isn't just about finding what people search. It's about understanding what answer engines are asked, how they interpret those prompts, and which questions your content needs to answer directly and authoritatively.
Voice search doesn't change people's need to search, but what does change is our need to pay attention to our audience's requirements and adapt our strategies to account for more than just 'money keywords'. The challenge that voice search throws at us is the advent of the single default answer. It's 'I'm Feeling Lucky' but on a wide, landscape-changing scale.
The majority of AI products remain tethered to a single, monolithic UI pattern: the chat box. While conversational interfaces are effective for exploration and managing ambiguity, they frequently become suboptimal when applied to structured professional workflows. To move beyond "bolted-on" chat, product teams must shift from asking where AI can be added to identifying the specific user intent and the interface best suited to deliver it.
The agreement results between different pairs of human annotators and the LLM annotator indicate that misalignment occurs primarily in interpreting user intent categories.
