Insights · PR and AI search

PR is back. AI search is why.

Summary

For a decade, marketing budgets moved away from PR and toward search and paid media. AI search is reversing that. The engines your buyers now ask for recommendations build their answers mostly from earned media, and study after study points the same way.

84%

of links cited by ChatGPT, Claude and Gemini came from earned media. Paid and advertorial content made up 0.3%.

Source: Muck Rack, What Is AI Reading?, May 2026
0.664

correlation between brand mentions across the web and Google AI Overview visibility. Backlinks scored 0.218.

Source: Ahrefs, 75,000 brands, 2025
88%

of Google AI Mode citations don't rank in the organic results for the same query.

Source: Moz research, via SEO.com, 2026
2%

overlap between the journalists PR teams pitch and the sources AI systems cite.

Source: Muck Rack, March 2026
What changed

Buyers ask AI. AI asks the press.

A growing share of B2B research now starts in an AI chat instead of a search box. The buyer asks a question, the engine reads a set of sources and writes an answer. It doesn't show ten blue links. It recommends.

Those engines need sources they can trust, and they treat a company's own website as marketing. Journalism and other third-party coverage read as evidence. In Muck Rack's latest study, journalism alone accounted for 27% of cited links, and earned media overall has held between 82% and 89% across all three editions of the research.

Why SEO isn't enough

Ranking first no longer means being the answer.

Search rankings and AI citations are drifting apart. Moz found that most citations in Google's AI Mode come from pages that don't rank in the organic results for the same query. Ahrefs found that what tracks AI Overview visibility most closely is how often a brand is mentioned across the web, not how many backlinks it has.

That's a PR signal, not an SEO one. Being written about, often and credibly, is what puts a company into the answer.

The catch

Most PR is aimed at the wrong targets.

Muck Rack's data shows only a 2% overlap between the journalists PR teams pitch and the sources AI cites. Traditional PR chases prestige outlets. AI engines draw from a wider mix: trade publications, niche reporters, data-rich explainers and the sources that cover a category in depth.

So PR matters more than it has in years, but the old playbook leaves most of the value on the table. The target list has to change.

What to do

If you lead a tech company, start here.

  1. Treat coverage as infrastructure. Every credible story about you becomes source material for the answers buyers see.
  2. Pitch the outlets AI actually cites in your category. Find them first, then build the media list.
  3. Make every story citable. Specific claims, real numbers and named people get quoted. Vague announcements don't.
  4. Keep your own site consistent and answer-ready. Clear descriptions and structured data help engines connect the coverage to you.
  5. Measure what AI says about you. Track how engines answer your buyers' questions over time, not just impressions.

A note on sources: several of these studies come from PR and media-monitoring companies, which have an interest in the result. Independent SEO research from Ahrefs and Moz points the same way, but read each with that in mind.

Read the research

The studies and articles behind this.

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