🆚 LLMs.txt vs. OpenSearch

Compare technologies based on real-world usage data *
LLMs.txt
OpenSearch

Type

Standard
Standard

About

The llms.txt file is a proposed standard that provides structured content and instructions to guide large language models (LLMs) in understanding and summarizing a website's content.

It typically resides in the root directory and uses the Markdown format.

There is no evidence that any major LLM provider, such as OpenAI, Google, or Anthropic, currently uses or supports llms.txt.

OpenSearch is a specification that describes a website's search engine, enabling browsers, apps, and services to discover and integrate it.

It is implemented as a linked XML file and was originally developed by Amazon to make it easier for other applications to integrate their search services.

Headquarters

Seattle, Washington, United States

Website

llmstxt.org #2,503,647
GitHub #13

Categories

Standards › Rank #40
Standards › Rank #19

Popularity

Determined by the number of sites using each technology.

OpenSearch is 23 times more popular than LLMs.txt.
Total websites

Market share

Standards

Popularity by country

Determined by the number of sites detected from each country.

OpenSearch is more popular in the United States, Germany, and Russia, while LLMs.txt is more popular in Japan.
United States
Germany
Russia
United Kingdom
France
Ukraine
Italy
Spain
Netherlands
Poland

Awards

Popularity by domain category

Determined by the number of sites in each category.

OpenSearch is more popular than LLMs.txt in all market segments.
Business
Blogs/Wiki
Education/Reference
Online Shopping
Marketing/Merchandising
Entertainment
Internet Services
Public Information
General News
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#1,304
#3,067
#6,788
#7,462
#11,636
View more ➝
Name
Rank
#4
#12
#13
#15
#22
View more ➝

See also

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When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.