[13pixels]

This matches our internal data too. The biggest shift we're seeing is that 'Zero-Click' searches on Google are becoming 'Multi-Turn' conversations on AI.

Users don't just search for a keyword; they describe a problem, get an initial answer, and refine it. Those mid-funnel queries (e.g., 'how does X compare to Y for Z use case') are invisible to traditional keyword tools because the volume per specific query is tiny, but the aggregate intent is huge.

The challenge is measuring this effectively. Are you finding any reliable way to group these long-tail queries into meaningful clusters, or is it still very manual?

[seo_god]

Spot on. Right now the process is quite manual, but one trick I found to work is using PAA and 7W1H to "questionify" focus keywords, and it works quite well at scale