Docs · Getting Started
Getting Started with MSP-1
This guide helps you understand what MSP-1 is, why it exists, and how to take the first practical steps toward implementing it on your site.
1. Understand the purpose of MSP-1
MSP-1 is an AI-first semantic layer that clarifies who you are, what you do, and how your content should be interpreted. It does not replace existing SEO or schema.org practices, but it gives AI systems a cleaner contract for reading your site.
- MSP-1 is open and implementation-neutral.
- It is designed for AI agents, answer engines, and search.
- It focuses on identity, intent, verification, and provenance.
2. Review your current site
Before adding MSP-1, take inventory of how your site looks today:
- What domains and subdomains make up your web presence?
- Which sections are most important to users and to AI-driven answers?
- Where do you already use structured data (JSON-LD, Open Graph, etc.)?
This baseline helps you decide where MSP-1 will have the most immediate impact.
3. Identify your site-level profile
The site-level profile answers: Who are we? and What do we stand for? You should be able to state:
- Your canonical site name and base URL.
- Your primary roles (official, editorial, commercial, community, etc.).
- Your main areas of expertise or service.
- How you approach verification and provenance.
These answers will later map almost directly into the site-level schema.
4. Identify key page types
Not every page needs a unique MSP-1 profile from day one. Start with:
- Core landing pages.
- High-value content (docs, articles, resources).
- Pages that you would want AI systems to reference or summarize.
Group similar pages into page types (for example: blog posts, docs, product pages) so you can define patterns instead of one-offs.
5. Next steps
Once you are comfortable with the concepts and have identified your site-level and page-level priorities, move on to the Implementation Guides for concrete integration steps and code examples.