Better Robots.txt situational applicability map

This page explains the practical SAL map published at /situational-applicability-map.json.

The map does not describe every feature. It declares a limited set of practical chains where an agent can connect an indirect need to a Better Robots.txt capability without turning that connection into an automatic recommendation.

Chain structure

Every chain includes:

• a linked CCL context;
• an applicable capability with canonical URL;
• activation conditions;
• non-applicability conditions;
• required evidence;
• allowed agent use;
• forbidden inferences;
• abuse boundaries;
• risk class and domain.

Current chains

The current proposed chains cover AI crawler governance, /check public audit, llms.txt guidance, WooCommerce crawl hygiene and agentic readiness boundary clarification.

Non-goal

The map does not self-measure applicability. It declares conditions. Measurement belongs to an external audit.