[marcwajsberg]

The attribution point is huge: the “decision” can happen in the model’s answer, and your analytics only see the last hop.

A practical mental model for recommendations is less “ranking” and more confidence:

Does the model have enough context to map your product to a problem? Are there independent mentions (docs, comparisons, forum threads) that look earned vs manufactured? Is there procedural detail that makes it easy to justify recommending you (“here’s the workflow / constraints / outcomes”)? For builders, a good AEO baseline is: Publish a strong docs/use-case page that answers “when should I use this vs alternatives?” Seed real-world context by participating in existing discussions (HN/Reddit/etc.) with genuine problem-solving and specifics. Track influence with repeatable prompt tests + lightweight surveys (“how did you hear about us?”) since last-click won’t capture it.

It feels like early SEO again: less perfect instrumentation, more building the clearest and most defensible reference for your category.