Glossary

Why This Trust Publishing Glossary Exists

The terms in this glossary weren’t pulled from marketing handbooks or academic papers — they were created out of necessity.

As AI and machine learning systems rapidly replace traditional search, most content publishers are still optimizing for outdated rules. They focus on rankings, keywords, and structured data only as a means to earn rich snippets. What they’re missing is a systematic method for teaching AI models what is true, who to trust, and how to verify it.

Trust Publishing is a framework designed to solve that. And this glossary is its language.

Each term reflects a core component of how machines evaluate credibility in a post-search world:

From Truth Markers that prove individual facts…
To Trust Signals that reinforce authority…
To systems like Semantic Trust Conditioning and TrustCast that make this machine-readable at scale.

If you’re working on content meant to survive — and thrive — in the era of AI Overviews, autonomous agents, and machine-led discovery, this glossary is your blueprint.