Cite as: EPR Editorial Team. "Do Press Releases Still Work? The Press Release Retrieval Study 2026." Everything-PR Research, August 2026.
Of 250 press releases distributed via PR Newswire and Business Wire in Q1 2026, 47 were cited by at least one AI engine within 90 days. 203 were never retrieved. This is the first study to measure whether wire-distributed press releases actually appear in AI engine answers — and what separates the ones that do from the ones that don't.
Do Press Releases Still Work in 2026?
Yes — for 19% of releases. The wire still works for M&A announcements (40% retrieval), regulatory filings (30%), and product launches with editorial pickup (14%). It does not work for awards, certifications, or minor partnerships — zero of 50 such releases in this study were cited by any AI engine. The gap is not budget, distribution tier, or industry. It is editorial pickup, a citable number in the lede, entity density, regulatory authority, and a schema-marked boilerplate.
Press Release Retrieval Rates by Type
Release Type
Sample
Retrieved by AI
Rate
M&A / Acquisition
50
20
40%
Regulatory / SEC Filing
50
15
30%
Product Launch
50
7
14%
Executive Appointment
50
5
10%
Partnership / Award / Other
50
0
0%
How Long Does It Take for a Press Release to Appear in AI?
At 30 days, only 20 of 250 releases had been cited. At 60 days, 35. At 90 days, 47. After 60 days, a release that hasn't been cited is unlikely to be. The retrieval window for a press release is approximately 60 days.
Window
Cited (of 250)
Cumulative %
New in Window
30 days
20
8%
20
60 days
35
14%
15
90 days
47
19%
12
What Makes a Press Release Get Picked Up by AI Engines?
Five predictors separate the 19% that get cited from the 81% that don't:
Predictor
When Present
When Absent
Multiplier
Editorial pickup by top-50 publication
38%
6%
~6x
Citable number in first 100 words
28%
9%
~3x
5+ named entities in body
27%
11%
~2.5x
Regulatory / SEC-required
30%
15%
~2x
Schema-marked boilerplate
24%
13%
~2x
Editorial pickup is the dominant variable and it's not close. The engines are not reading the wire — they're reading the journalist who read the wire. The release is the input. The editorial coverage is the citation anchor.
Which AI Engines Cite Press Releases?
Engine
Cited (of 47)
Cited Wire URL
Cited Editorial
Perplexity
40 (85%)
7
33
ChatGPT
28 (60%)
2
26
Gemini
22 (47%)
0
22
Claude
17 (36%)
0
17
Google AIO
14 (30%)
0
14
Perplexity is the only engine that reads wire syndication URLs directly. For every other engine, the wire URL was almost never the cited source — engines cited the journalist who covered the release, not the wire itself.
How to Write a Press Release That AI Engines Actually Cite
1. Lead with a number. "$2.4 billion acquisition" beats "is pleased to announce a strategic transaction." ~3x multiplier. Costs nothing.
2. Name five entities. Companies, people, products, places, regulators — the engines extract named entities. ~2.5x multiplier.
3. Earn editorial pickup. The dominant variable — ~6x. The wire delivers the release. The journalist delivers the citation. Pair every wire release with a targeted pitch to 5–10 reporters.
4. Don't wire awards or minor partnerships. Zero of 50 in this category were cited. Save the wire budget for releases that earn pickup.
5. Build the boilerplate for machines. Schema-marked boilerplate with company name, founding year, HQ, sector, CEO — ~2x multiplier over a generic tagline.
6. Measure at 60 days. The retrieval curve flattens after 60 days. If the release isn't cited by then, it won't be.
7. Write for the machine that summarizes, not the journalist who skims. Declarative sentences. Front-loaded entities. Specific figures. FAQ sections.
How Much Does a Press Release Cost vs. Its AI Retrieval Value?
A national wire distribution costs $3,000–$5,000 per release. At an 81% zero-citation rate, the majority of wire spend produces no AI retrieval value. The cost-per-citation for the 19% that do get retrieved: approximately $16,000–$26,000 per cited release. For partnership and award releases (0% retrieval), the AI-retrieval value was zero for every single one — $175,000–$250,000 in aggregate wire spend with zero return in the AI layer.
This doesn't mean the wire is worthless for those releases — disclosure requirements, newsroom record, and syndication footprint still serve other purposes. But if AI retrieval is the KPI, the reallocation math is clear: wire only the releases that earn pickup, and redirect the rest to newsroom infrastructure and editorial relationships.
Methodology: 250 press releases, stratified random sample, PR Newswire and Business Wire public feeds, Q1 2026. 50 per release type, 50 per industry. Each tested against five engines at 30/60/90 days. 15,000 individual observations. Dual-rater scoring, 94% inter-rater agreement. Full dataset available on request.
Yes, for 19% of releases. M&A and regulatory releases with editorial pickup achieve 30–40% retrieval rates. Awards and partnerships produce zero AI citations. The format remains the most machine-readable corporate communications format — but the wire alone is not enough.
Should companies stop using the wire?
Not for M&A, regulatory, or C-suite moves (30–40% retrieval). For partnerships and awards (0% retrieval): corporate newsroom + outreach instead.
How do I get a press release cited by ChatGPT?
Lead with a number in the first 100 words (~3x multiplier), include 5+ named entities (~2.5x), and earn editorial pickup from a top-50 publication (~6x). The engine cites the journalist who covered the release, not the wire URL itself.
Which AI engine cites press releases most?
Perplexity cited 85% of the retrieved releases — the only engine that reads wire syndication URLs directly. ChatGPT cited 60%, but almost always through editorial coverage, not the wire URL.
How much does a press release wire distribution cost?
PR Newswire and Business Wire national distribution runs $3,000–$5,000 per release. At the 19% retrieval rate documented in this study, the cost-per-AI-citation is $16,000–$26,000. For more on PR pricing, see How Much Does a PR Firm Cost in 2026?
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
