# We Audited 25 Global SaaS Platforms for llms.txt v2: Here is What We Found > Source: > Published: 2026-09-19 06:09:55+00:00 When the `llms.txt` proposal emerged as a standard to help LLMs and autonomous agents navigate web documentation efficiently, it promised an alternative to messy HTML scraping. In August 2026, the specification was formally updated to **v2**, introducing two major changes: `` tags. Our research team at **[GrowNexus](https://grow-nexus.com)** audited 25 major SaaS platforms to measure how the industry is actually adopting the standard. We examined 25 prominent platforms across developer tooling, CMS, infrastructure, and productivity software: `llms.txt` file.`rel="describedby"`): The most significant operational issue discovered is using `llms.txt` as a raw sitemap dump. When autonomous agents (like Claude Code, Codex, or Hermes) parse context, scratchpads are token-budgeted. Files over 50KB consume 15,000+ tokens before the agent executes a single tool call, resulting in aggressive truncation. A well-architected `llms.txt` should act as a **curated index** of core endpoints—not a full site mirror. We have released the complete dataset and analysis scripts under the CC BY 4.0 license: How is your engineering team approaching `llms.txt` implementation for your APIs?