Course → Module 6: Digital PR and Earned Media
Session 1 of 8

Earned media is coverage you did not pay for or create yourself. When a journalist writes about you, when a researcher cites your work, when a conference invites you to speak, these are third-party validations that knowledge graphs weight heavily. Self-declared entity attributes say "I claim this." Earned media says "others confirm this."

The gap between self-declaration and external validation is the recognition gap. You can implement perfect structured data, optimize every profile, and build flawless topical clusters. But until independent sources start confirming your entity attributes, your recognition has a ceiling. This module is about breaking through that ceiling.

The Trust Hierarchy of Entity Signals

Knowledge graphs and AI systems assign different trust levels to different signal sources. Self-published signals are the foundation, but earned signals provide the validation that moves entity recognition from "claimed" to "confirmed."

graph BT L1["Self-Declared
Your website, your schema,
your profiles"] --> L2["Semi-Earned
Guest posts, podcast appearances,
directory listings"] L2 --> L3["Fully Earned
Press coverage, citations,
awards, speaking invitations"] L3 --> L4["Institutional
Wikipedia, government records,
academic citations"] style L1 fill:#222221,stroke:#8a8478,color:#ede9e3 style L2 fill:#222221,stroke:#6b8f71,color:#ede9e3 style L3 fill:#222221,stroke:#c8a882,color:#ede9e3 style L4 fill:#222221,stroke:#c47a5a,color:#ede9e3
Trust Level Signal Examples Knowledge Graph Weight Your Control
Self-declared Website schema, social bios, About page Foundational (necessary but insufficient) Complete
Semi-earned Guest articles, podcast mentions, directory listings Moderate (shows activity) Partial (you initiate, others publish)
Fully earned Press coverage, expert citations, awards Strong (independent validation) Low (you can influence, not control)
Institutional Wikipedia page, government recognition, academic references Very strong (highest confidence data) Very low (editorial gatekeeping)

Types of Earned Media That Build Entity Recognition

Not all earned media is equal for entity recognition. The most valuable earned media creates explicit co-occurrence of your entity name with your target topical associations on a high-authority, editorially curated domain.

Earned media is not about vanity metrics. Each press mention, citation, or speaking invitation is a data point that knowledge graphs use to validate your entity attributes. The question is not "how many mentions do I have?" but "do these mentions consistently confirm the entity associations I am trying to build?"

Auditing Your Earned Media Baseline

Before building an earned media strategy, you need to know your current position. Document every piece of earned media your entity has received in the past 2 years. This becomes your baseline for measuring progress.

For each earned media piece, record:

Gaps in this audit reveal where your earned media strategy should focus. If you have press mentions but no citations, you need more research-worthy content. If you have speaking engagements but no press coverage, you need a media outreach strategy.

Further Reading

Assignment

Document every piece of earned media your entity has received in the past 2 years. Identify gaps in your earned media profile.

  1. Search for your entity name in Google News, general Google search, and social media to find all mentions
  2. Create a spreadsheet with columns: Source, URL, Date, Type, Topical Association Reinforced, Has Backlink (Y/N), Still Live (Y/N)
  3. Categorize your earned media: press mentions, citations in others' content, speaking invitations, awards, expert quotes
  4. Identify which entity associations each piece reinforces. Are they consistent with your target associations?
  5. Find the gaps: which types of earned media are missing? Which entity associations have no external validation? These gaps become your strategy focus for the rest of this module.