Search intent classification
Labeling queries by intent, often with a model. Useful to bucket prompts. Dangerous if the labels are wrong and nobody checks.
Spot-check. Especially sarcasm and comparison queries.
Use the buckets to assign page types, not to automate 1,000 outlines.
Examples
- A classifier marks “Acme vs BigCo” as informational. It’s commercial. The brief goes to the wrong writer.
Related terms
Measuring model quality on tasks. Internal evals for your GEO classifier are useful. Public leaderboards are weakly related to citations.
Prompt research finds the questions people actually type into AI assistants — the GEO version of keyword research.
Why the query exists: learn, find a site, compare, buy. Chat intent is the same with more backstory in one message.
FAQ
Buy a classifier? +
You can. A spreadsheet and a brain still work at 200 prompts.
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