The boring press release machines learned to love

The humble press release was, for most of the past decade, the chore nobody in freight wanted. It sat near the bottom of the marketing budget. It was filed as an obligation. Executives who would sign off on a six-figure trade show booth without blinking balked at 500 words crossing the wire. That was the status quo until the machines started reading them.

A quarter-long field test by LeadCoverage, found that press releases leading with a specific, economically relevant number earned 3. 5 times more AI citations than releases without one. Over the quarter, the Atlanta go-to-market freight and supply chain agency published one release a week and logged 1,058 AI citations, up from nearly zero.

ChatGPT accounted for roughly 90% of them. What the results mean for carriers, brokers and 3PLs is not an abstraction. An example: When a shipper asks a large language model (LLM) which provider handles omnichannel distribution out of Florida, the answer arrives before anyone visits a website. Whoever published a number wins and gets named.

To those unaware, they missed out on a conversation they never knew was happening. “AI Cannot Invent a Number” The finding is narrower than “send more press releases.” Luckily, that narrowness is the point. Ordinary releases built around company announcements, personnel changes or awards generated minimal citations.

The releases built around a hard figure carried the whole result. “AI cannot invent a number, so it cites whoever published one,” said Kara Brown, CEO and co-founder of LeadCoverage, in an interview with FreightWaves. That constraint explains the mechanics behind the magic. Language models can only generate; they do not report.

When a query demands a figure, the model reaches for a source that supplied one, and wire copy is unusually easy to reach. Every release on GlobeNewswire shares the same skeleton: headline, subhead, data, and quotes. AP style, uniformly applied, turns out to be machine-readable by accident.

Brown’s warning to companies sitting on proprietary data doesn’t mince words. “The companies that publish specific, useful data on a consistent schedule are the ones AI cites most, and that citation is often the first impression a prospect gets before they ever visit your website,” she said.

“The companies sitting on their data simply aren’t getting citations, and they never see the potential prospects and deals that pass them by.” Why AI Citations Favor the Middle Market Google was always an auction. That is the part freight marketers understood, and the part that priced most of them out.

“If you pay Google money, they will put you at the top of the answer whether or not it’s organic or paid,” Brown said. “If you don’t pay Google, they will diminish your visibility on Google.” She has a word for the arrangement: mercenary. Google has advertisers to serve and a business reason to serve them.

The LLMs, at least for now, run on different incentives. There is no keyword auction on a citation. For a mid-market 3PL, broker, forwarder or tech vendor with a specific niche, that gap is the entire opportunity, because the traditional route is closed. “You can’t compete with Old Dominion on LTL,” Brown said. “They already own the search volume for LTL.

Trying to outrank them on that term isn’t a fight worth picking.” The opening has a clock on it. Brown describes the citation effect as a flywheel with a half-life: early participants accumulate weight the way compound interest does, and latecomers spend their budget fighting incumbents who started first.

“The earlier you start, the more time you have to let this half-life percolate with the LLMs,” she said. “The later you start, the more you’re competing with the folks that have already started.” Money is no longer solving it in a post-search world. The old escape hatch, outspending the field on keywords, does not exist inside an answer engine.

Trade Press, Reweighted Two figures from Muck Rack are reframing where the effort should go. About 1% of all answer engine optimization citations come directly from a press release, which works out to roughly 33,000 searches a day resolved by wire copy. Separately, 27% of industry-specific searches are answered by trade publications.

That second number matters more in freight than almost anywhere else, because freight queries are never generic. Nobody asks an LLM for a dentist nearby. They ask which 3PL runs omnichannel distribution near a Florida headquarters, and the model looks for a publication that has already answered.

Brown’s order of operations follows directly: wire first, trade press second, website third. The sequencing runs against the instinct of most supply chain marketers, who default to redesigning the site. “The LLMs don’t care about your website. They’re not going to your website,” she said.

“The content on your website is important, but the order of operations is: send more press releases, get picked up by the trade media, and then make sure that you have pretty goo