PR 2.0

PR 2.0 is an established label for public relations adapted to a new medium. Brian Solis described it as the realization that the Web changed everything, and Deirdre Breakenridge's 2008 book PR 2.0: New Media, New Tools, New Audiences carried it into practice for the social web (Solis, 2008). Machine Relations is the evolution of PR that names the next adaptation: the audience for earned coverage now includes the AI engines readers ask first, as well as the editors and readers it always had.

Machine Relations keeps the neutral canonical definition of this term in its own glossary: PR 2.0, defined by Machine Relations.

Traditional PR vs. Machine Relations

Traditional PR	Machine Relations (the evolution of PR)
Convince journalists to write about you	Earn coverage that AI engines also cite
Measure by media impressions	Measure by AI citations
Press releases and media lists	Entity optimization and earned authority
Success = coverage clip	Success = coverage clip plus an accurate AI answer
Editors and readers decide what surfaces	Editors, readers, and AI answer engines all decide what surfaces

Why the Shift Happened

Three converging forces made the shift to Machine Relations unavoidable:

1. AI-mediated discovery — ChatGPT, Perplexity, and Google AI Overviews now answer questions that used to drive search clicks. The brand that AI cites wins.
2. Newsroom automation — 96% of newsrooms now use AI to filter pitches, prioritize stories, and even draft coverage. The machines are already in the room.
3. Zero-click behavior — Users increasingly get their answer without clicking through. Zero-click search means the citation IS the impression.

Research shows 82-89% of AI-generated citations come from sources brands neither own nor pay for — not from brand-owned content. This means earned authority built through real media placements is the primary lever, not content marketing or on-page optimization.

Machine Relations in Practice

Machine Relations is not a rebrand of traditional PR with AI buzzwords. It adds infrastructure that traditional PR did not need:

• Citation architecture alongside media lists
• Entity signals alongside press releases
• AI visibility scores instead of AVE (advertising value equivalency)
• Citation gap analysis alongside competitive coverage reports

The shift mirrors the PR agency bifurcation now underway — traditional agencies that still pitch only for clips vs. Machine Relations agencies that also engineer AI citations. AuthorityTech pioneered this category as the first Machine Relations agency.

Frequently Asked Questions

What is PR 2.0?

PR 2.0 is an established label for public relations adapted to a new medium. It first described PR for the social web, and it is sometimes carried over to the AI-search shift.

How does PR 2.0 relate to Machine Relations?

Machine Relations is the evolution of PR that names the AI-search shift. It keeps the work as public relations and adds measurement of how published sources are cited by AI engines.