Industry solution · Artificial Intelligence
Press Release Distribution for AI Companies
Tech journalists see dozens of "AI-powered" pitches a week and have gotten faster at spotting the ones with nothing technical behind the label. TS Newswire checks that an AI release can actually back up what it claims before it goes out.
2
links allowed to product/technical documentation on Business tier
12–24 hrs
typical AI release turnaround
Every product category added an "AI" label to its pitch deck over the last two years, and journalists covering the space noticed. A release claiming a "revolutionary AI platform" with no detail on what model it runs, what it was trained on, or what specifically it does better than the non-AI alternative gets skimmed and discarded — not because the reporter doubts AI is real, but because that exact phrasing has become a signal of a release with nothing underneath it. TS Newswire’s AI distribution track checks for that gap before a release reaches outlets, because a held release costs less than a burned relationship with an editor who now skips your next pitch too.
The releases that do land coverage tend to be specific about the boring parts: what the model actually does, what data or benchmark supports a claimed improvement, and what happens when it’s wrong. That specificity matters more in AI than in most categories precisely because the marketing language has gotten so uniform — "cutting-edge," "next-generation," and "powered by advanced AI" no longer differentiate anything, and journalists have started using their presence in a release as a reason to pass rather than dig deeper.
What makes artificial intelligence distribution different
"AI-powered" has become a reason to skip a pitch, not open it
Generic AI marketing language now reads as a red flag to tech editors who’ve seen the pattern too many times.
Technical claims need something to point to
A stated accuracy improvement or benchmark result needs a source — an internal number with no methodology doesn’t clear review at serious outlets.
"Built on GPT-4" and similar claims get checked
Claims about which underlying model or provider a product uses are verified for accuracy, not taken at face value.
Timing is short for genuinely newsworthy AI releases
A real technical announcement can get lost in the volume of low-substance AI pitches unless it’s positioned to stand apart from day one.
How a release moves through review
- 01
Substantiation check
Claims about model capability, accuracy or benchmark performance are checked for a stated source or methodology — unsupported superlatives get flagged for specifics.
- 02
Technical accuracy review
Claims about underlying models, training data or integrations are checked for accuracy before the release proceeds, since these are increasingly fact-checked by AI-beat journalists.
- 03
Outlet matching
The release is routed to outlets and reporters who cover AI specifically, rather than a general technology blast, since AI-beat journalists apply a higher bar than generalist tech editors.
- 04
Pickup tracking
Once live, the dashboard shows which outlets picked it up and whether it’s indexed in Google News, so you know quickly whether the release differentiated itself.
Outlets in the Technology network
What clears review, what doesn’t
Accepted
- Specific technical claims with a stated methodology or benchmark source
- Accurate description of underlying models, providers or training approach
- Named technical spokesperson able to answer follow-up questions
- A clear statement of what the product does differently, not just that it "uses AI"
- Honest framing of current limitations where relevant to the claim being made
Rejected
- Unsourced performance or accuracy claims ("50% better," "10x faster") with no baseline stated
- Generic "AI-powered" language with no specifics on what the AI actually does
- Inaccurate claims about underlying models or training data
- Releases that amount to "we added a chatbot"
The claims that get AI releases held for revision
Unsourced performance claims are the most common hold — "50% more accurate" or "10x faster" without a stated baseline, methodology or comparison point reads as unverifiable, and editorial review sends it back for the specifics a journalist would ask for anyway. This isn’t a strict regulatory requirement the way clinical claims are in healthcare, but outlets covering AI have gotten stricter about it in response to a wave of releases that didn’t hold up.
Claims about underlying models or training data get checked for accuracy too. Stating a product is "built on GPT-4" or "trained on proprietary data" when that’s not precisely true is the kind of claim that gets caught by AI-beat reporters who ask follow-up questions before publishing — a release held here for a day is better than one published and then quietly corrected or ignored on the next pitch.
Recommended for Artificial Intelligence
AI-beat outlets respond to substantiated technical claims — Business tier’s outlet matching and turnaround fit that review cycle.
Starter
$149/ PR
For a single announcement
Business
$349/ PR
For High Network Distribution
Premium
$649/ PR
Maximum reach, fastest pickup
Questions
Questions specific to Artificial Intelligence
Not a third-party audit, but claims need a stated methodology or measurement basis — an unsourced percentage improvement gets flagged for specifics before distribution.