<b>SERP teardown: what "People Also Ask" reveals about query intent depth.</b>

<b>SERP teardown: what "People Also Ask" reveals about query intent depth.</b>

PAA boxes are usually mined as keyword lists. Read structurally, they expose how Google models a topic's intent tree — useful for content architecture.

I scraped PAA chains (expanding 3 levels deep) for 120 head terms across 6 niches and clustered the questions by type.

— Commercial head terms expanded mostly into <i>comparison</i> and <i>cost</i> questions (which/vs/how much) — 61% of level-2 PAAs.
— Informational head terms expanded into <i>mechanism</i> and <i>definition</i> questions (how/why/what is) — 58%.
— Crucially, the question <i>order</i> within PAA was stable across re-scrapes and roughly tracked a logical learning sequence, suggesting Google has a model of "what you ask next."

The actionable read: structure a page's H2s to mirror the dominant PAA branch for your intent type, in PAA order. On 9 test pages restructured this way, featured-snippet capture rose from 2 to 7 snippets — small, but directionally clear.

Method note: PAA scraped via headless browser, deduped; snippet capture verified manually post-reindex.

Confidence: low-medium — PAA is personalized/volatile; n on the restructure test is tiny.