Hi everyone, this is Neo.

Lately, something called llms.txt has been blowing up in the cross-border e-commerce and SEO circles. Some people call it “the instruction manual you feed to AI” — a treasure map for grabbing traffic in the AI era. Others pour cold water on it, saying it’s useless and will just become a dumping ground for junk information.

Big players like Google and OpenAI are keeping their cards close to their chests, but some cutting-edge tech companies have quietly started using it. So for those of us running independent sites — do we jump on it right away, or wait and see?

Today, I’m going to break down llms.txt completely: what it really is, what the pitfalls are, and what the smartest move is for us right now.

1. What the Heck Is llms.txt?

Think of it as an “AI-exclusive” version of a sitemap.

We all know websites are written for humans — full of flashy JS effects, pop-ups, ads, and complex navigation. But when AI models (LLMs) crawl and try to understand this stuff, it’s like a person with face blindness showing up at a masquerade ball — overwhelmed by the noise, unable to grasp what matters.

The idea behind llms.txt comes from Jeremy Howard at Answer.AI, and it’s simple: why not drop a file called llms.txt in your site’s root directory, in the most plain format possible, that clearly tells AI:

1. “Here’s a list of the most important pages on my site.”
2. “And here’s the core content of those pages, distilled for you — feel free to use it directly.” (optional)

Supporters say it’s like handing AI a treasure map: it guides the model straight to your site’s most valuable content, so it doesn’t waste time on unimportant pages or misinterpret your information.

A minimal llms.txt file might look like this:

# These are the most important pages on my website

- /about-us.html
- /best-selling-product
- /how-to-choose-the-right-model

Looks great, right? But here come the problems.

2. Why Aren’t the Big Players (For Now) Buying It?

If this thing is really so great, why haven’t giants like Google and OpenAI — the ones holding the AI power — embraced it immediately? Both the reference articles and the latest industry news point to one core issue: trust.

From the platforms’ perspective, they have three big concerns:

1. The History of Abuse

The internet has a long memory. A mechanism like llms.txt where “the website self-declares” instantly brings back memories of the old meta keywords tag. Webmasters could stuff that tag with whatever keywords they wanted — claiming their site was all about “iPhone 15 Pro Max” — and clicking through would reveal a dog food store. Eventually, search engines just stopped looking at the tag entirely.

llms.txt faces the same risk. Black-hat SEOs have already brainstormed a hundred ways to abuse it:

• Cloaking: Put a link in llms.txt, and AI crawls one version of content while human visitors see something completely different.
• Keyword/link stuffing: Turn the file into a little notebook crammed with keywords and junk backlinks.
• Content poisoning: Embed biased or misleading instructions designed to “pollute” AI models’ answers.

2. High Verification Costs

For a platform to trust what’s written in your llms.txt, it has to verify it. That means spending massive computing resources cross-checking the llms.txt content against your site’s actual content, robots.txt, sitemap.xml, and so on — to see if you’re lying.

For a company of Google’s scale, adding that verification pipeline for hundreds of millions of sites worldwide would cost an astronomical amount. Until there’s proof that llms.txt delivers huge returns, that investment simply doesn’t pencil out.

3. Lukewarm Official Statements

Right now, the official stance is basically “not adopting, not using.”

• Google: Gary Illyes of the Search Relations team said plainly: “We currently have no plans to support llms.txt.” John Mueller has also said Google’s AI Overviews won’t use it, and will stick to “regular SEO” rules.
• OpenAI: People have noticed GPTBot crawling the /llms.txt path on sites, but OpenAI has never officially acknowledged using that data in production. It looks more like “experimental” exploration.

In short, the big players think this thing is high-risk, high-cost, and standardless. Until a solid “trust mechanism” exists, they’d rather ignore it.

3. So Why Are People Still Flocking to It?

If the official world won’t recognize it, why do tech-forward companies like Cloudflare, Vercel, and Anthropic still use llms.txt?

That’s the “doers” logic: a low-cost bet on the future.

1. Getting in early: Look back at SEO history — whether it was schema structured data or featured snippets, the sites that prepared first reaped massive traffic dividends later. Same with llms.txt: it’s useless today, but what if some mainstream AI platform announces support tomorrow? The cost of setting it up early is tiny, but the potential payoff could be huge.
2. Internal value: For many companies, the very act of creating llms.txt is an exercise in clarifying their core content. It forces the team to answer: “What do we most want AI to know about us?” The file can feed internal AI support chatbots, documentation bots, and more — immediate value, no waiting.
3. Grassroots hope: Despite the official cold shoulder, some data suggests certain AI models may already be quietly experimenting with this data. Vercel even reported that 10% of their new user signups come from ChatGPT — thanks to their proactive AI optimization, not just traditional SEO.

4. So What Should Dropshipping Sellers Actually Do?

OK, after all that analysis, let’s get to what we really care about: as an independent site seller, what should we do right now?

My advice: move fast in small steps, follow rationally — but don’t go all in.

Concretely, three steps:

Step 1: Create a “Basic” llms.txt

Spend half an hour creating a minimal llms.txt file and put it in your site’s root directory (same level as robots.txt).

In this file, do exactly one thing: list your site’s most important, most valuable pages.

• B2C sites: Homepage, core category pages, star product pages, About Us, Contact, shipping policy page.
• B2B sites: Homepage, core product/service pages, solutions pages, case study pages, About Us, Contact.

Key principles:

• Links only, no content: Don’t use llms-full.txt to dump entire page contents in there. That’s basically packaging up your core assets and handing them to competitors and AI — way too risky.
• Keep it lean: Only include pages you most want AI to understand and cite — no more than 20.
• Stay honest: Make sure every page listed is real, public, and genuinely useful to users.

Step 2: Treat It as a “Content Self-Audit”

Creating this file is actually a great chance to re-examine your site’s content strategy. Ask yourself:

• Does my “About Us” page clearly communicate my brand story and strengths?
• Do my core product pages answer every question my customers care about?
• If AI were introducing my company to a user, which sentences would I want it to quote? Are those sentences actually written on my site?

Treat llms.txt as a “mirror,” not a “traffic magnet.” Its real value is helping you optimize your content — not directly generating traffic.

Step 3: Keep Your Head Straight and Return to SEO Fundamentals

Once steps one and two are done, that’s enough. Don’t expect AI to start sending you traffic tomorrow. Put your main energy back into what’s proven to work:

• High-quality content: AI and search engines alike ultimately reward original, in-depth content that solves user problems.
• Clear site structure: Good navigation and internal linking are friendly to both humans and machines.
• Proper structured data (Schema): That’s the currently Google-officially-blessed “standard answer” for earning rich snippets.

Summary

Let’s wrap up the core points on llms.txt:

1. What it is: A simplified, AI-facing sitemap that points to your core content.
2. Current status: Officially unrecognized (Google/OpenAI), but being explored by the grassroots (tech companies). Half sea, half fire.
3. Core risk: Trust. It’s easy to abuse, which makes platforms hesitant to adopt it.
4. What we should do:
   • Create a basic llms.txt with only the most important page links.
   • Use it as a content self-audit to optimize your core pages.
   • Drop any unrealistic expectations and keep nailing the SEO basics.

Our attitude toward llms.txt should be: stay informed, participate on a small budget, but never get carried away.

It’s like buying a very cheap lottery ticket — if you win, jackpot; if you don’t, no harm done. The real wealth still comes from the website content and user experience you carefully cultivate day after day.