Machine Relations definition: PR 2.0 is an MR operating concept for coordinating earned-media work with observation of how published sources appear and are cited across a declared set of AI answer surfaces. It retains public relations and records coverage and AI visibility as separate observations.
Machine Relations definition: PR 2.0 is an MR operating concept for coordinating earned-media work with observation of how published sources appear and are cited across a declared set of AI answer surfaces. It retains public relations and records coverage and AI visibility as separate observations.
Premise: Public relations remains responsible for relationships with journalists and editors, editorial coverage, and the narratives carried by that coverage. PR 2.0 adds a separate measurement question: after material is published, what representation and citation can be observed across the answer surfaces being studied?
Premise: PR 2.0 is not a universal replacement for classic PR. It is an operating convention for teams that want to preserve normal PR objectives while measuring publication, answer appearance, source citation, and brand attribution as distinct events.
Working model (not measured): a PR 2.0 program uses the following sequence as an investigation protocol, not as a documented sequence inside an AI engine.
Premise: this sequence makes the observation reproducible. It does not prove why an engine selected a source, whether a placement influenced that selection, or whether the answer changed a reader's behavior.
Machine Relations definition: publication presence records whether a qualifying item exists on an independently controlled publishing surface.
Machine Relations definition: answer appearance records whether the named entity or tracked claim appears in a collected answer.
Machine Relations definition: source citation records whether a collected answer cites the publication URL or its declared source family.
Machine Relations definition: brand attribution records whether the answer connects the cited material to the tracked entity rather than merely citing the publisher.
Machine Relations definition: Share of Citation reports citation observations against a declared denominator. The denominator, engine panel, query set, and observation window must travel with the result.
Premise: none of these fields is a substitute for claim-support grading, referral traffic, buyer behavior, revenue, or another business outcome. Those require separate evidence.
Premise: a placement does not by itself establish retrieval, citation, attribution, recommendation, or commercial impact.
Premise: a citation does not by itself establish that the cited page supports the adjacent answer claim. Answer-Source Fidelity evaluates that relationship separately.
Premise: a change between measurement windows does not identify its cause. PR 2.0 records the change and preserves possible explanations as hypotheses until separately tested.
Premise: PR 2.0 assigns no universal publication tiers, placement weights, citation lifespans, performance benchmarks, or guaranteed timelines. Any such result belongs to the specific dataset and method that produced it.
Working model (not measured): the MR Stack places PR-related editorial work within Earned Authority, while identity records, citation architecture, answer-surface distribution, and measurement remain separate areas of work.
Premise: this separation prevents an editorial placement from being reported as an AI citation and prevents an AI citation from being reported as proof of support or business impact. The framework is an MR-authored accountability model, not a claim about private engine architecture.
Premise: a team can use PR 2.0 without changing its editorial relationships. The additional work is to define the measurement frame, preserve publication facts, collect answer outputs, and report each observed outcome under its own name.
Premise: the appropriate publication target cannot be inferred from a universal list. It should be evaluated against the declared category, query set, engine panel, and observation window.
Premise: the appropriate review cadence is a protocol choice. It must be disclosed with the results rather than presented as a universal law of citation behavior.
Premise: PR 2.0 is not press-release distribution, search-engine optimization, GEO, AEO, or Performance PR. Those practices may interact with the same published material, but PR 2.0 names the operating bridge between editorial work and answer-surface observation.
Premise: Machine Relations is the broader discipline. PR 2.0 is one MR-authored operating concept inside it, focused on preserving the boundary between what was published, what an answer engine cited, what the cited page supports, and what happened afterward.
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