# Account Scoring Philosophy SalesMonk uses explicit, configurable scoring, not black-box AI scores. This ensures: * Transparency * Trust * Customization per client *** ### Fit Criteria Fit criteria measure: * Industry * Company size * Geography * Firmographics These are relatively static. *** ### Behavior Criteria Behavior criteria measure: * Website activity * Page visits * Engagement trends * Signal changes These are dynamic and recalculated regularly. *** ### Intent Trends SalesMonk tracks: * Intent level * Intent direction (rising / falling) * Rolling 30-day trends This allows teams to: * Prioritize timing * Focus on momentum --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.salesmonk.ai/account-intelligence-and-scoring/account-scoring-philosophy.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.