Classify search terms by intent. Auto-invoke when user provides search terms to classify, asks for search term analysis, or wants to identify negative keyword candidates.
Classify search terms into intent categories for Google Ads accounts.
Classify each search term into exactly ONE of these categories:
The searcher is actively looking for the product or service the business offers.
Signals:
Related to the business's industry but unlikely to convert. The searcher may be a current customer, a job seeker, or someone in early research.
Signals:
Research or educational queries. The searcher wants to learn something, not buy.
Signals:
Completely unrelated to the business. These should be added as negative keywords immediately.
Signals:
Context is required. Always ask what the business does and where it operates before classifying. A term like "pool maintenance" is High Intent for a pool company and Off-Brand for an apartment complex.
When in doubt between High and Low Intent, choose Low Intent. False positives (keeping a bad term) cost more than false negatives (losing a marginal term). Conservative classification protects budget.
Brand terms are always High Intent if they match the business's own brand name. Competitor brand terms are Low Intent.
Location matters. "Apartments in Austin" is High Intent for an Austin property. The same query is Off-Brand for a property in Denver.
One category per term. Do not assign multiple categories. Pick the most accurate one.
Classify the intent, not the word. "Cheap apartments" has High Intent even though "cheap" seems negative — the searcher wants an apartment.
Present results as a table:
| Search Term | Category | Reasoning |
|---|---|---|
| [term] | [High Intent / Low Intent / Informational / Off-Brand] | [One sentence explaining why] |
After the table, provide a summary:
For large lists (100+ terms):