Last updated: July 10, 2025 at 03:33 PM
Summary of Reddit Comments on "llms txt"
llms.txt Overview
- llms.txt is not an official protocol and is regarded as unnecessary by many.
- llms.txt files are seen as a trend rather than a practical solution for SEO.
- LLMs have not widely adopted llms.txt.
- Tools like llms.txt often flag things that are not actual issues.
- Implementing llms.txt is viewed as additional work with little current benefit.
Pros and Cons of llms.txt
- Pros:
- Offers a way to potentially improve AI discovery without affecting SEO for search engines.
- Future-ready and easy to implement.
- Provides more control over what gets indexed by AI models compared to traditional SEO methods.
- Cons:
- Low adoption rate among major LLMs.
- Maintaining another file alongside robots.txt and sitemaps adds to operational overhead.
- Could lead to abuse or misinformation similar to past SEO practices like meta keywords.
Other Insights on llms.txt
- Adoption and support for llms.txt are low, but some platforms like Mintlify and Hugo are showing interest.
- The hype around llms.txt is compared to early versions of robots.txt, with a focus on optimizing for AI without clear effectiveness.
- llms.txt is seen as a potential lightweight way to improve AI discovery, but the impact is yet to be visible.
- Yoast SEO now supports llms.txt to control AI models' access to content, akin to robots.txt.
- The usefulness and impact of llms.txt remain questionable and experimental.
General Comments on llms.txt
- There is skepticism and criticism regarding the necessity and practicality of using llms.txt.
- Many view the push for llms.txt as a marketing tactic rather than a genuine SEO improvement.
- llms.txt is noted for being seen as a useless standard and a potential waste of time by some SEO specialists.
- AI's current methods, reliance on traditional SEO, and the limited benefits of llms.txt are areas of concern for many Reddit users.
- The discussion around llms.txt is considered a distraction from more practical SEO strategies and improvements.
Final Thoughts
- Experimenting with llms.txt is encouraged as a low-risk endeavor, but immediate benefits may be limited.
- The potential benefits of llms.txt lie in improving AI indexing, but the current state shows minimal impact.
- Users are advised to approach llms.txt implementation cautiously, considering the current lack of adoption and uncertain future impact.
Note: The comments reflect a mix of skepticism, experimental interest, and cautious optimism regarding the potential of llms.txt in the SEO landscape.