What core technical steps are required to set up OpenAI crawler access and configure llms.txt and schema for the AI Mention Growth Playbook?

To set up OpenAI crawler access and configure llms.txt and schema for the AI Mention Growth Playbook, follow these technical steps:

Control AI Crawling with robots.txt:
- Identify AI crawlers by their user-agent names, such as GPTBot (OpenAI), Google-Extended (Google), and ClaudeBot (Anthropic). (Best Practices for AI-Oriented robots.txt and llms.txt Configuration)
- Use the robots.txt file to allow or disallow these bots. For example, to block OpenAI's crawler: User-agent: GPTBot Disallow: /. (Best Practices for AI-Oriented robots.txt and llms.txt Configuration)
- If you want your site indexed or used by AI, do nothing (by default, absence of a disallow means crawling is allowed). You can also use Allow directives for fine control. (Best Practices for AI-Oriented robots.txt and llms.txt Configuration)
Implement llms.txt:
- Create a plain text file named llms.txt in your website's root directory (e.g., https://example.com/llms.txt). (What is llms.txt? Why it's important and how to create it for your docs)
- This file provides a structured, machine-readable summary of your website's content, guiding LLMs to understand the meaning and context of your content. (What is llms.txt? Why it's important and how to create it for your docs)
- Use Markdown syntax to structure the content within llms.txt. (What is llms.txt? Why it's important and how to create it for your docs)
AI-Optimized Sitemaps:
- Create AI-specific sitemaps to guide crawlers to your most important content. (AI Crawlers & Technical Optimization - The Ultimate Guide | Qwairy)
- In these sitemaps, prioritize content for AI crawlers using the <priority> tag. (AI Crawlers & Technical Optimization - The Ultimate Guide | Qwairy)

What core technical steps are required to set up OpenAI crawler access and configure llms.txt and schema for the AI Mention Growth Playbook?

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