
Earned Media Value: How to Calculate It (and When Not to Trust It)
Earned Media Value, explained plainly: the formula, benchmark multipliers by media type, and why PRSA and AMEC warn against reporting AVE alone.

Earned Media Value, explained plainly: the formula, benchmark multipliers by media type, and why PRSA and AMEC warn against reporting AVE alone.

Perplexity AI cites specific pages inline instead of just ranking links. Here is how it sources answers and what PR teams should do to get cited.

The reporter was the gatekeeper for a century. Now a model answers first — before the reporter, the search engine, or the salesperson gets a turn. A new Everything-PR study shows the retrieval layer deciding who exists,

ESG communications, defined and separated from ESG reporting. The checklist I use with clients to substantiate claims and avoid greenwashing risk.

Press release format, updated for the AI era: numbers-first leads, standalone facts, consistent naming, and a full template you can use today.

Twelve real PR crises, ten from our own case files and two classic ones, each with the one specific lesson it teaches. No theory, just what happened.

How to build a media list that gets responses: define the beat, verify bylines, track fields, and prune it every quarter.

How to write an AI press release: using AI to draft faster, where it falls short, and how to structure releases so ChatGPT and Perplexity can cite them.

What a knowledge panel is, how Google builds one from structured data and Wikidata, how to claim and fix it, and why AI chatbots draw on it too.

How to optimize for Google AI Overviews: structured data, direct-answer subheadings, topical ranking, freshness, and a citation checklist.


This is not another university ranking. My firm just published the first benchmark of AI production capacity — a new category, a reproducible methodology, and a coherent measurement framework for the AI-answer economy.