Query Library

Full list of tracked search terms per client with last-run date, model coverage, and individual query scores.

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Query Library — tracked terms per client with run history

What It Shows

The Query Library shows every search query currently tracked for a client, with the last time each query was run, which models it's tested against, and its individual visibility score for the most recent run.

This view is used to audit and manage the query set for each client.

Query Construction Guidelines

Effective AI search queries for medical and aesthetic clients follow a pattern:

  • Service + location: "best rhinoplasty surgeons in [city]"
  • Condition + provider type: "top doctors for lip augmentation near [city]"
  • Procedure question: "where should I get Botox in [city]?"

Queries should reflect how a target patient would ask the question, not how the practice describes itself. Generic queries ("plastic surgeons") are included for benchmarking but rarely produce brand-level mentions.

Managing the Query Library

Currently, query additions require a developer to update the pipeline configuration. The roadmap includes a self-service interface for account managers to add, pause, or remove queries per client without a dev dependency.

Each query runs weekly by default. High-priority clients can be moved to a daily schedule for near-real-time visibility tracking. The last-run date column flags any queries that haven't run recently due to API rate limits or pipeline errors.