Evidence before action.
Practical guides for understanding what RunPR examines, what the output means, where the methodology stops, and which decision still belongs to a person.
Know what the signal can—and cannot—tell you.
Each guide connects the result to its evidence, interpretation, next action, methodological limits, and human-control boundary.
Diagnostics hub
Choose the evidence you need: how AI engines describe a brand, what coverage actually ran, or whether a pitch is ready for human review.
Open the diagnostics hub →Interpret brand presence in AI answers
Understand free audits, paid standard and deep scans, mention and citation rates, losing queries, provider gaps, and responsible next actions.
Read the AI visibility guide →Turn discovered articles into defensible reporting
See how RSS, Google News, and GDELT results become relevance-filtered, syndication-grouped reports with honest reach ranges.
Read the coverage guide →Evaluate reporter fit and draft quality
Read reporter-fit reasoning and Empathy Adversary feedback as decision support while preserving the human approval boundary.
Read the pitch guide →Move from methodology to the live workflow.
AI Visibility
Review the paid scanning workflow, plan cadence, supported engine sets, and outreach path.
Explore AI VisibilityCoverage Reports
See the reporting workflow and open the current live sample report.
Explore Coverage Reports