Documentation Index
Fetch the complete documentation index at: https://docs.getcitable.com/llms.txt
Use this file to discover all available pages before exploring further.
What it does
Emits an operational recommendation — a configuration or setup change the brand should make to improve their AI visibility footprint: enable an additional AI engine, add a journey stage, register a new channel account, calibrate a persona, raise the prompts-per-stage budget. The user reviews and accepts in the web UI; the accepted change flips the underlying brand setting. Operational actions are persona-agnostic, so the persona-intent matrix is skipped.When to use
- A scan shows a coverage gap — e.g., only ChatGPT is enabled when competitors are also winning on Perplexity.
- The user asks “what should I set up next?”
When not to use
- The fix is structural / on-page — use
emit_technical. - The fix is content creation — use
emit_content.
Inputs
subtype(string, 1–40 chars, required) — category of change. Common values:'enable_model'— recommend enabling an additional AI engine in scans'add_persona'— recommend adding a new audience persona'add_competitor'— recommend a competitor to track'calibrate_persona'— recommend a persona-calibration tune'expand_journey'— recommend adding a journey stage to scans'add_brand_account'— recommend a channel account to connect
title(string, 1–200 chars, required) — one-line summary.description(string[], 1–20 items, each ≤500 chars, required) — step-by-step instructions.effort_minutes(number, 1–120, default 15).priority('low'|'medium'|'high'|'critical', default'medium').config_target(object, optional) — JSON describing the proposed setting change, useful for future auto-apply. Example: