AI shopping assistants are cutting reviewers out of the sale
A test with Meta's Muse shows how AI recommendations can lean on a reviewer's work while sending the sale somewhere else.
Pete Pachal is the founder of The Media Copilot. In addition to producing the site’s newsletter and podcast, he also teaches courses on how journalists and communications professionals can apply AI tools to their work. Pete has a long career in journalism, previously holding senior roles in global newsrooms such as CoinDesk and Mashable. He’s appeared on Fox Business, CNN, and The Today Show as a thought leader in tech and AI. Pete also puts his encyclopedic knowledge of Doctor Who to good use on the popular podcast, Pull To Open.

A test with Meta's Muse shows how AI recommendations can lean on a reviewer's work while sending the sale somewhere else.

PR teams now measure how often AI cites a reporter's work, and that's an opening for beat journalists and the outlets that back them.

A real market for AI inference is forming, with payment rails to match. What publishers still lack is leverage.

Opportunity AI asks what your audience could get from you that they never could before.
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Every new AI release lands the same way: better tool, more backlash. For newsrooms, the fix is a name someone can actually hold responsible.

The instinct to block AI bots understandable, but verifying bots protects your content while letting you compete for AI visibility.

A billionaire's AI-written op-ed set off a credibility fight that no detector could have prevented.

Keeping unauthorized AI crawlers out is an increasingly difficult game. That should change what publishers spend their energy fighting for.

OpenAI is quietly building an ad model on ChatGPT clicks, and publishers are footing the credibility bill.

Time is selling ads made for AI crawlers instead of people, and the model raises as many questions as it answers about disclosure and trust.
