llms.txt:一项尚未得到任何主流 AI 平台确认使用的提议标准。
llms.txt: a proposed standard no major AI platform has confirmed it uses

原始链接: https://geojacker.com/llms-txt

`llms.txt` 是一个提议放在网站根目录下的 Markdown 文件,旨在引导 AI 代理找到你最重要的内容。尽管炒作很多,但证据表明其采用率较低(约 10%),AI 爬虫的兴趣也很小,且主要搜索引擎(如 Google)并不支持,认为它没有必要。 然而,发布这样一个文件仍被视为一种值得尝试的“非对称博弈”,原因有三: 1. **成本低:** 只需 20 分钟即可完成部署。 2. **内部审计:** 整理过程会迫使你筛选出最重要的内容,往往能暴露出组织或技术上的冗余。 3. **面向未来:** 虽然目前它对 SEO 引用无效,但未来它可能成为 AI 代理浏览你业务内容的标准化接口。 **如何实施:** 保持精简(10–40 个链接),不要将其作为站点地图的堆砌。使用清晰的 H2 标题、绝对路径 URL,并为每个页面提供简短的一句话描述。将其视为一种“企业对代理”的摘要,而非 SEO 手段。 **结论:** 如果你时间紧迫,请优先确保爬虫访问权限和高质量的内容结构。只有在这些基础稳固之后,再考虑实施 `llms.txt`。

抱歉。
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原文

Implementation · Contested

Most write-ups of this file are selling something. Here is what the measurement says, followed by what we still recommend and why those two things aren't in conflict.

The short answer

llms.txt is a proposed Markdown file at your site root that lists your most important pages so AI systems know what to read first. It is not a standard, and the evidence that it currently affects AI citations is weak.

Ship one anyway. It costs twenty minutes, it can't hurt, and it's a cheap option on a future where agents route on machine-readable site surfaces. Just don't build a strategy on it.

01What the 2026 data shows

  • Adoption is around one site in ten. An SE Ranking study of 300,000 domains found a 10.13% adoption rate — and among the fifty most AI-cited domains, only one had the file at all.
  • Crawlers barely fetch it. A Limy.ai monitoring analysis of over 500 million AI bot events across a 90-day window found only a few hundred requests targeting /llms.txt directly. GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot and Google-Extended overwhelmingly crawl HTML instead.
  • Google has said no. Gary Illyes confirmed Google doesn't support llms.txt and isn't planning to; John Mueller compared it to the discredited keywords meta tag. Google's 2026 generative-AI documentation lists it among unnecessary tactics.
  • No provider has committed. As of 2026, no major AI company has publicly committed to reading or acting on llms.txt in production.
  • A large share of existing files are junk. The HTTP Archive's 2025 Web Almanac found around 40% of published files were plugin-generated defaults rather than deliberate, curated documents.

02So why ship one?

Three defensible reasons, none of which is “it will get me cited.”

  1. The cost is near zero and the option is real. Twenty minutes buys you a position if agentic routing does standardise. That's a sensible asymmetric bet.
  2. Writing it is a useful forcing function. Producing a one-sentence description of your forty most important pages surfaces duplication, orphaned content and pages that don't actually say anything. Several teams get more value from the audit than the file.
  3. It's a business-to-agent surface, not an SEO artifact. The interesting use case isn't search citations — it's an agent trying to work out what your company offers and where the authoritative page for each thing lives.

03How to write one properly

The proposal specifies Markdown: an H1 with the site or brand name, a blockquote summary, optional free prose, then H2 sections listing links with a one-sentence description each. Keep it curated — ten to forty genuinely important pages, not a sitemap dump.

# Example Co

> One-paragraph description of what the organisation does,
> who it serves, and what makes its content authoritative.

Optional prose: scope of the site, what is and isn't covered,
licensing or citation preferences.

## Core guides

- [What is X](https://example.com/what-is-x): One sentence on what this page answers.
- [How X works](https://example.com/how-x-works): One sentence on what this page answers.

## Reference

- [Glossary](https://example.com/glossary): Definitions of 40 terms used across the site.

## Optional

- [Full text](https://example.com/llms-full.txt): Plain-text copy of every page.

Our own llms.txt and llms-full.txt are live and follow this shape. Copy them.

Rules of thumb

  • Serve it as text/plain at the site root, exactly at /llms.txt.
  • Use absolute URLs.
  • Curate ruthlessly — the file's only advantage over a sitemap is editorial judgement.
  • Include a last-reviewed date and actually keep it current. A stale file is worse than none.
  • Don't duplicate every page as a Markdown mirror unless you handle indexation properly.

04How to check whether anything reads it

Don't guess. Filter your access logs for requests to /llms.txt and /llms-full.txt by known AI user agents. You can also embed a unique URL inside the file that appears nowhere else — a honeypot only an automated reader would follow — and watch for hits. Cloudflare's bot analytics will break this down by user agent without touching raw logs.

Priority checkIf you have limited hours this quarter, spend them on crawl access, answer structure and original data before you spend one on this file. That ordering is the whole argument of the stack.

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