# llms.txt priority ordering

> The llms.txt spec exposes only two prioritization levers: the order of the link lists and reserving the 'Optional' H2 for URLs an agent may skip.

<!-- Canonical: https://agentmint.net/signals/llms-txt-priority-order/ · Signal in the AgentMint.net Signals Database · Evidence: spec-fact (Very high confidence) · Last verified 2026-07-08 · Evidence types are load-bearing: spec-fact | reported | hypothesis (no measured). -->

- **Affects (funnel stage):** Discovery
- **Evidence:** spec-fact
- **Confidence:** Very high
- **Impact:** 2/3
- **Status:** active
- **Last verified:** 2026-07-08

## Per-platform status

Undocumented platforms show "unknown" - honest unknowns, never invented.

| Platform | Status | Notes | Source |
| --- | --- | --- | --- |
| ChatGPT | unknown | Not documented by this platform. | - |
| Gemini / Google AI Mode | unknown | Not documented by this platform. | - |
| Perplexity | unknown | Not documented by this platform. | - |
| Copilot | unknown | Not documented by this platform. | - |
| Claude | unknown | Not documented by this platform. | - |

## Evidence and sources

- [llms.txt proposal, llmstxt.org](https://llmstxt.org)

## How to act on this

Put the buying-relevant pages above the 'Optional' section and order each link list by decision weight, not by navigation or site-map convenience.

### Handbook chapters
- [Information Density: Facts Per Token on Machine Surfaces](https://agentmint.net/handbook/information-density/)

### Related signals
- [Machine-readable page representation](https://agentmint.net/signals/machine-readable-mirror/)
- [Facts per token, complete against peers](https://agentmint.net/signals/facts-per-token/)