Open, AI-first, web-native

MSP-1 — Mark Semantic Protocol

MSP-1 is a universal, AI-first metadata standard that gives answer engines, AI agents, and traditional search a clear, trustworthy view of your content, structure, and intent.

Version 1.0.0 Official specification site · msp-1.org

Mission Statement

MSP-1 exists to establish a clear, consistent, and machine-readable foundation for how online content is interpreted by AI systems. Our mission is to support creators, professionals, platforms, and agents by providing an open standard that improves understanding, reduces ambiguity, strengthens provenance, and fosters trust across the AI-driven web. MSP-1 is designed to enhance—not replace—human expertise, ensuring that the intent behind every piece of content remains visible and verifiable in an increasingly automated world.

Founder's Statement

MSP-1 was created to bring clarity, transparency, and long-term stability to the evolving relationship between humans and intelligent systems. This protocol emerged through a collaborative process—human vision working alongside AI structure—to build an open, neutral, and future-proof semantics layer for the web. Its purpose is simple: ensure that intent, authorship, and human expertise remain understandable and trustworthy as AI becomes a primary interpreter of online information.

— M.L. Johnson, Founder, MSP-1

What is MSP-1?

MSP-1 defines a lightweight, AI-first layer of structured metadata that sits alongside your existing HTML, JSON-LD, and sitemaps. It is designed to be easy for humans to implement and easy for machines to trust.

Clarifies who you are and what you do
Signals authority, provenance, and review
Describes intent and scope at site and page level

MSP-1 is security-neutral. It does not alter a site’s security posture. Instead, it provides clear trust signals that humans and intelligent systems may interpret as part of broader evaluation frameworks.

Why MSP-1 exists

Today’s AI models and answer engines can read the web, but they still need clear, explicit signals about which content is canonical, verified, and safe to amplify. MSP-1 gives them a consistent, open standard to rely on.

Reduces ambiguity in machine interpretation
Supports AIO / AEO / GEO strategies
Works with, not against, existing SEO best practices

MSP-1 is an ecosystem, not a shortcut

The protocol does not promise rankings, hacks, or shortcuts. It gives AI systems a clearer, more honest picture of your site, so that real expertise and trustworthy content can surface more reliably over time.

About The Founder

Mark L. Johnson is a photographer and web developer with over thirty years of experience across portrait, fashion, event, and fine art photography. Known primarily for his work behind the lens, Mark has long maintained a parallel presence in web development and digital marketing, not as a technologist by title, but as a builder by instinct. MSP-1 grew naturally from that intersection: a practical problem on his own photography website that revealed a much larger gap in how the web communicates with machines. The "Mark" in Mark Semantic Protocol stands for markup, as in the declarative language of the web itself, though Mark will admit there may be just a little coincidence at play there too. For him, MSP-1 is as much about impact as it is about infrastructure. By giving AI systems clearer signals to work from, the protocol reduces the computational overhead required for inference, and with it, the energy cost. In a small but meaningful way, a more machine-readable web is also a more sustainable one. For a creator who has spent decades finding meaning in light and composition, MSP-1 represents a different kind of craft: one built for a web that is only beginning to understand itself.

Read How it all Started →