Terminology Reference
The definitive glossary of Machine Relations terminology — from Citation Gap to Algorithm Credibility Moat. The language of PR 2.0.
The discipline of earning AI engine citations and recommendations. PR 2.0.
Structuring a brand's digital identity so AI systems can resolve, verify, and cite it consistently across platforms.
Content engineering for AI extraction — answer-first structure, quotable data points, attribution magnets.
AI systems that decide which brands get recommended. The successor to human gatekeepers (journalists).
Shorthand for Machine Relations. The evolution of public relations for the AI era.
Optimizing content to appear in generative AI answers (ChatGPT, Claude, Gemini).
Optimizing for answer engines like Perplexity and Google AI Overviews.
A data point or quote designed to be extracted and cited by AI engines. E.g., "82–89% of AI answers cite earned media."
The delta between a brand's traditional search ranking and its AI citation frequency. A brand can rank #1 on Google but appear in 0% of ChatGPT answers.
A brand's measurable presence across AI platforms (ChatGPT, Perplexity, Gemini, AI Overviews). Replaces impressions as the key MR metric.
The frequency at which AI engines recommend a brand when prompted with relevant queries.
The compounding advantage brands build when AI engines consistently cite them. Each citation reinforces the next. Like SEO domain authority, but for AI.
Earned media impact that occurs without users clicking through to the source — AI engines surface the brand directly in answers.