LLM.txt & AI Crawler Setup Guide for Framer users

Create a `robots.txt` file at the root of your Framer project (accessible via `yourdomain.com/robots.txt`).

Include a brief overview of your site's purpose and the types of content available for AI ingestion.

Use `Sitemap:` directives to point to your Framer XML sitemap, facilitating discovery of all pages.

Leverage `User-agent:` directives to specify rules for specific AI bots (e.g., `GPTBot`, `Google-Extended`) and `Disallow:` or `Allow:` rules for specific paths relevant to Framer component libraries or templates.

Within your Framer project settings or via meta tags on specific pages, define `noindex` directives for low-value or duplicate content sections (e.g., staging environments, internal admin pages).

Use `Allow:` directives in `robots.txt` for key areas like your public component showcases, design tutorials, or case studies.

Monitor server logs for AI crawler activity (e.g., `GPTBot`, `Google-Extended`) to ensure they are accessing intended Framer content paths and not resource-intensive areas.

Wrap core content areas within Framer pages using `<main>` and `<article>` tags to denote primary content.

Employ `<aside>` for supplementary Framer design tips or related component links.

Structure navigation using `<nav>` and ensure headings (`<h1>` to `<h6>`) are used logically to represent the hierarchy of your Framer design system or template documentation.

Break down lengthy Framer tutorials or component documentation into distinct, self-contained sections, ideally under 700 words each.

Ensure each section begins with a clear topic sentence or heading that summarizes its core content, reducing the need for external context lookup.

Replace ambiguous references (e.g., 'this feature', 'the component') with specific Framer element names or function descriptions (e.g., 'the Accordion component', 'the `useMediaQuery` hook').