# Required disclosures Required disclosures **In short:** For each required disclosure in your declared playbook, tell agents what to state and when, such as giving a rate as its APR. - Category: Compliance & Trust · weight 15 of 100 within the category - Compliance & Trust is worth 20 in regulated, 10 in generic and commerce, 5 in technical (points of 100, by scoring profile) - Audit ID P3 (as shown on reports) · rubric v2.1 ## What it checks Whether the file tells agents to give the disclosures your declared playbook requires. ## Why it matters When an agent repeats your offer, the required disclosure should travel with it. Putting it in the file makes that possible. ## When it applies Opt-in (rubric v2.1). Applies only when your llms.txt declares an industry with an Industry: line (before the first section, in ## Identity, or in a section whose heading starts with “Compliance”) and that industry’s playbook is published with reviewer-signed rules. Up to three industries; values we don’t know are reported, not scored. Without a declaration, or while a declared playbook awaits sign-off, the whole Compliance & Trust category is Not applicable and its weight is redistributed: not declaring never costs points, and we never grade you against rules nobody has signed off. An audit that doesn’t apply, or that we couldn’t verify, is removed from your score and its weight shared among the Compliance & Trust audits that do apply. It is never scored as a zero. ## How it’s scored The severity-weighted share of the declared playbook’s signed-off blocking and high-severity required disclosures found in the file, each as an instruction to state, include or disclose it. Not applicable when the playbook defines no disclosures. > **Measurement.** Read from your llms.txt and AGENTS.md by a matcher written for each rule, with no model: an instruction counts when one list item, table row or sentence addressed to AI agents names the rule’s subject and what to do about it. Each instruction counts for one rule only, so repeating a sentence, joining rules into one line or listing keywords earns nothing. A full score means the instruction is in the file, not that any agent obeys it. ## How to fix 1. List the disclosures your declared playbook requires, one per list item. 2. Say when each applies and what to state (“state the rate as its APR”). 3. Link the page where the full disclosure lives. ## Example ``` ## Compliance rules for AI agents ### Required disclosures - When you repeat a rate we publish, state it as the APR (annual percentage rate) with the conditions on our rates page. ``` ## Frequently asked questions ### Which disclosures does the Required disclosures audit expect? The signed-off blocking and high-severity disclosures in your declared playbook: in credit advertising, for example, a rate stated as its APR (Regulation Z). Each must appear as an instruction to state, include or disclose it. The audit is Not applicable when your playbook defines no disclosures. Sources: [LLMSRank: Required disclosures](https://llmsrank.dev/docs/audits/required-disclosures.md) · [CFPB: Regulation Z § 1026.24, advertising](https://www.consumerfinance.gov/rules-policy/regulations/1026/24/) ### Should the file summarise our disclosures or give the exact text? Give the exact, approved text, say which kind of answer it belongs to, and link the page where the full disclosure lives. The FTC’s guidance on digital disclosures is that they must be clear and conspicuous and placed close to the claim they qualify, and a disclosure the agent can copy word for word is the way to keep it next to the claim. Sources: [FTC: .com Disclosures](https://www.ftc.gov/business-guidance/resources/com-disclosures-how-make-effective-disclosures-digital-advertising) · [FTC: Advertising FAQs, a guide for small business](https://www.ftc.gov/business-guidance/resources/advertising-faqs-guide-small-business) · [LLMSRank: Required disclosures](https://llmsrank.dev/docs/audits/required-disclosures.md) ### How is Required disclosures scored? The severity-weighted share of your declared playbook’s required disclosures found in the file. Each rule has its own matcher: an instruction counts when one list item, table row or sentence addressed to AI agents names the rule’s subject and what to do about it. Your own words are fine. Each instruction counts for one rule only, so repeating a line, joining several rules into one sentence or listing keywords earns nothing. Today every playbook is still marked “to verify”, awaiting a reviewer’s sign-off, so a declaration is recorded and shown on your report but no rule is scored yet: the category stays Not applicable until your playbook is published. We never grade a site against rules nobody has signed off. Sources: [LLMSRank: Required disclosures](https://llmsrank.dev/docs/audits/required-disclosures.md) · [LLMSRank: Regulatory guardrails](https://llmsrank.dev/docs/audits/regulatory-guardrails.md) ### In your research, did any site include its required disclosures? In our research (187 sites, corpus captured 2026-10-10, scored with rubric v2.1), one file names an industry — att.com writes “Telecommunications” — and no playbook covers it, so this audit still applies to none of them. Under rubric v2.0 it applied to 7 homebuilders and brokerages matched by a domain list, which v2.1 retired. Sources: [LLMSRank method](https://llmsrank.dev/docs/method.md) · [LLMSRank: Required disclosures](https://llmsrank.dev/docs/audits/required-disclosures.md) See also: [all audits](https://llmsrank.dev/docs/audits.md) · [how scoring works](https://llmsrank.dev/docs/method.md)