Performance PR

Machine Relations definition: Performance PR is the practice of evaluating public-relations coverage against declared, observable post-publication outcomes rather than output volume. The term has also been used for pay-for-results or pay-per-placement services; this glossary uses it only as a measurement convention.

Premise: The convention records the placement and selected outcomes while keeping causal explanations separate from the observations.

What Performance PR measures #

Machine Relations definition: A Performance PR record joins a specific piece of coverage to a defined observation window and a declared set of outcome fields. Those fields can include:

• whether the coverage remains publicly accessible;
• whether monitored systems cite or mention it;
• referral visits attributed by the available analytics;
• later references or republications that can be observed; and
• a separately defined business metric when the organization can measure it.

Premise: An outcome field is an observation rather than a causal verdict. For example, a citation recorded after publication establishes sequence rather than attribution.

This measurement posture is consistent with AMEC's Barcelona Principles, which prefer measuring outcomes over outputs, call for measurement tied to stated goals, and reject advertising value equivalents as a measure of public-relations value.

The Performance PR record #

Machine Relations protocol: Each record should publish enough information for another analyst to reproduce the observation.

Field	What is recorded
Coverage	URL, outlet, publication date, format, and named subject
Window	Observation start, observation end, and collection cadence
Baseline	The same outcome fields collected before publication when available
Outcomes	Observed citations, mentions, referrals, republications, or declared business metrics
Attribution	The method used to connect an observation to the coverage
Limits	Missing data, inaccessible pages, confounders, and unresolved explanations

Premise: The record describes the observed change. Causal attribution is outside this protocol unless a separate measurement design supports it.

A four-stage observation protocol #

Working model (not measured): Machine Relations uses the following sequence to keep coverage production and outcome measurement distinct.

Stage	Action	Output
Register	Identify the exact coverage artifact	A canonical coverage record
Describe	Record the claim, entity, outlet, format, and publication date	Structured observation fields
Observe	Collect the declared outcome fields during the stated window	Timestamped observations
Compare	Compare the observations with the baseline or another declared reference	A descriptive result with limits

This sequence is an MR-authored protocol. It is not a model of private AI-engine behavior and does not promise that coverage will be cited, recommended, or produce a commercial result.

Performance PR is not a pricing model #

Machine Relations distinction: Performance PR, as defined here, is separate from pay-per-placement or pay-for-results pricing. A commercial agreement describes when a provider is paid. A Performance PR record describes how a coverage result is observed after publication.

Premise: The two can coexist without validating each other. Payment and observed outcomes remain separate records.

Performance PR and PR 2.0 #

Machine Relations distinction: This glossary uses PR 2.0 as a channel and participation label. It uses Performance PR as an observation and evaluation label.

Concept	Question it answers
PR 2.0	Through which digital or participatory channels does the communication operate?
Performance PR	Which declared outcomes were observed after a specific coverage event?

Premise: The categories are compatible but not interchangeable. Channel records and outcome records answer different questions.

Interpretation limits #

Performance PR can establish that:

• a specified coverage artifact existed;
• a specified observation was recorded during a stated window;
• a metric changed relative to a declared baseline or comparison; and
• the collection method and known limitations were disclosed.

Machine Relations definition: The following questions sit outside a Performance PR record unless separate evidence addresses them:

• causal attribution for citations, recommendations, sales, rankings, or trust;
• relative superiority among outlets, formats, or campaign types;
• persistence forecasts; or
• generalization across brands, query sets, engines, or time windows.

Role in the MR framework #

Machine Relations definition: Performance PR is the framework's post-publication observation layer. It converts a coverage event into a versioned record that can be compared over time.

It does not score the intrinsic quality of a publication or infer how an AI system weighted the coverage. Those questions require separate measurements. Its job is narrower: define the event, observe the selected fields, and report the result without upgrading sequence or correlation into causality.

FAQ #

What is Performance PR? #

Performance PR is public relations evaluated against declared, observable post-publication outcomes rather than output volume.

Is Performance PR the same as pay-for-placement PR? #

No. Pay-for-placement is a commercial pricing model. Performance PR is an MR measurement convention for recording what was observed after coverage appeared.

Does a later citation prove that the placement caused it? #

No. A later citation establishes an observation after the publication event. Causal attribution requires a measurement design capable of ruling out competing explanations.

How is Performance PR different from PR 2.0? #

In this glossary, PR 2.0 describes channels and participation. Performance PR describes post-publication observation and evaluation.

What makes a Performance PR result reproducible? #

The record identifies the coverage artifact, observation window, baseline or comparison, outcome fields, attribution method, and known limitations.