Scan Budget
A Scan Budget is the monthly allowance of prompt checks included in an AI visibility monitoring plan, where one scan checks one tracked prompt across the monitored AI models. Instead of a fixed cap on how many prompts can be tracked, the budget is spent according to the scan frequency assigned to each prompt.
Definition
The concept parallels crawl budget in traditional SEO: a finite resource allocated across a larger set of targets according to priority. A plan with 1 800 monthly scans covers 60 prompts checked daily, or several hundred prompts checked weekly, or any mix in between. High-priority prompts, typically branded and buying-intent queries, keep daily scans for fresh data, while long-tail informational prompts run on slower cycles at a fraction of the cost in scans.
Scan budgets change how tracking depth is planned. Rather than asking which prompts fit under a cap, teams ask how fresh each prompt's data needs to be. A prompt scanned every 14 days consumes roughly one fourteenth of the budget of a daily prompt, so slowing the long tail multiplies total coverage without changing the plan. ChatBakers introduced this model with scan frequencies configurable per website, topic, and individual prompt.
Why it matters for AI visibility
AI visibility is a portfolio problem: a brand's presence is shaped by hundreds of question variations, not the handful that fit under a fixed prompt cap. A scan budget lets teams monitor the full question landscape at appropriate freshness levels, which produces a more complete visibility picture and catches long-tail shifts that capped tracking never sees.
Related terms
Scan Frequency
Scan Frequency is how often an AI visibility monitoring tool re-checks a tracked prompt against the monitored AI models, for example daily, every 2 days, weekly, or every 14 days. It determines both how fresh the visibility data is and how much of the plan's scan budget the prompt consumes.
GEOTracked Prompts
Tracked Prompts are a predefined, consistent set of queries monitored over time to measure AI visibility trends, brand mentions, citations, and competitive positioning within LLM responses.
GEOPrompt Monitoring
Prompt Monitoring is the systematic tracking of AI-generated responses to a predefined set of queries or prompts, measuring how your brand and content appear within those generated answers over time.
GEORetrieval Coverage
Retrieval Coverage is the percentage or proportion of anticipated user queries about your domain or category for which your content is successfully retrieved by AI systems during the grounding process.