
Key Takeaways
- AI in PR is no longer a question of adoption. Of the 200 PR professionals in our 2026 survey, 83% use AI and 64% reach for it daily or weekly.
- PR teams lean on AI hardest for production work: drafting (53%), ideation (52%), outreach emails (52%) and generating pitch angles (44%).
- The pitch is the dividing line. Among PR pros who use AI, only 15% always let it draft a pitch, 50% do so sometimes, and 35% never do.
- Disclosure is inconsistent. Just 23% of AI-using PR pros always say when AI was involved; 18% never do.
- The hard wall is the relationship itself: 59% won't trust AI with journalist relationships, nearly three times the rate among SEOs (20%).
Ask whether AI in PR has arrived and you're asking a question that's already settled. The interesting question is narrower and more revealing: once a PR pro has AI open, what do they let it touch, and what do they keep their hands on?
We put that question to 200 public relations and earned-media professionals as part of a larger survey of 500 SEO and PR practitioners. The SEO findings split off into their own story. This one is about PR, and it traces a clear line through the workflow. AI has saturated the production end of PR. It hits a wall the moment the work gets close to a journalist.
AI in PR already runs the back office
Adoption inside PR is near-total. 83% of the PR pros we surveyed use AI in their work, and 64% use it daily or weekly. That trails the full sample, where 74% of all 500 respondents use AI daily or weekly, but frequency tells you little about how the two groups actually use the tools.
This isn't an early-adopter story. When two-thirds of a profession reaches for the same category of tool every week, AI has become infrastructure: the thing you assume is running in the background, not the thing you're testing. The external data agrees. USC Annenberg's 2025 Global Communication Report, a survey of more than 1,000 communicators, found communicators already using AI for press materials (36%) and social content (43%), with 60% expecting AI to benefit the profession.
So the headline isn't that PR uses AI. It's where PR points it.
What PR teams actually hand to AI
PR hands AI the production work: the drafting, the brainstorming, the first-pass research. Here's what PR pros use it for most:
| Task | Share of PR pros using AI for it |
|---|---|
| Drafting written content | 53% |
| Ideation / brainstorming | 52% |
| Writing outreach / pitch emails | 52% |
| Summarizing research or transcripts | 46% |
| Generating pitch angles / media lists | 44% |
| Editing / proofreading | 42% |
Notice what's at the top. Drafting and ideation, the raw material of a campaign, lead the list, and those are tasks where a wrong word costs you a rewrite, not a relationship. Outreach emails rank just as high, but as the pitch data below shows, most of that use is occasional. When a PR pro names the single task AI changed most, drafting wins outright (27% of AI-using PR pros), with pitch-angle generation a distant second (15%).
AI use in PR runs high on internal production and falls off a cliff at the journalist. The further a task sits from a reporter's inbox, the more comfortable PR pros are handing it over.

The pitch is where PR pros hesitate
The pitch is the exception to PR's comfort with AI. It's the one artifact that travels directly from the PR pro to a journalist, and the data shows pros treat it as contested ground. Among PR professionals who use AI, only 15% always let it draft a pitch. Half use it sometimes. And 35% never let AI near a pitch at all.
| How PR pros use AI to draft pitches | Share (AI users) | What it signals |
|---|---|---|
| Always | 15% | Treats AI as the default first drafter |
| Sometimes | 50% | Reaches for it case by case, not reflexively |
| Never | 35% | Keeps the pitch fully human, on principle |
Put the two extremes side by side. A third of AI-using PR pros won't let the technology touch a pitch, while only one in seven leans on it fully. Compare that to drafting written content, where 53% use AI. The same person who happily lets AI draft a blog post or a backgrounder pulls back when the words are headed for a reporter.
Why the pitch specifically? Because a pitch isn't just copy; it's a bid for a relationship. A generic, obviously-automated pitch doesn't just fail; it spends down trust with a journalist you may need for years. And the stakes are unforgiving on their own terms: in Propel's Media Barometer (405,000 pitches in Q1 2024), journalists responded to about 3.4% of pitches. When roughly 97 of every 100 pitches already go nowhere, "good enough" copy that sounds machine-made is a luxury most pros won't risk.

Few PR pros always say AI was involved
Disclosure is the loose thread in all of this. If PR pros are using AI to help write pitches, even sometimes, how often does anyone on the receiving end find out? Rarely. Among PR professionals who use AI, just 23% always disclose that AI was involved. 42% do so sometimes, 18% never do, and the rest say it doesn't apply to their work.
PR is, by a slim margin, more transparent than SEO here: 23% of AI-using PR pros always disclose versus 20% of SEOs. But "more transparent" is grading on a curve when roughly three-quarters of AI-using PR pros don't disclose as a matter of course.
| Disclose AI involvement | PR (AI users) | SEO (AI users) |
|---|---|---|
| Always | 23% | 20% |
| Sometimes | 42% | 38% |
| Never | 18% | 22% |
This is less a scandal than a norm still forming. Nobody discloses that they used spell-check or a thesaurus. The open question PR hasn't answered yet is whether AI drafting belongs in that bucket (invisible tooling) or whether a pitch a journalist believes is personal deserves a different standard. The 35% who refuse to let AI draft pitches at all have effectively answered it for themselves.

The wall AI doesn't cross
Past the pitch, the line stops being a gradient and becomes a wall. When we asked what PR pros won't trust AI with under any circumstances, the top answer wasn't strategy or client deliverables: it was the relationship itself. 59% of PR pros won't trust AI with journalist relationships, versus 20% of SEOs who say the same. It's one of the sharpest divergences between the two disciplines in the survey, and we unpack the full cross-discipline split in the broader state-of-AI findings.
That gap makes sense once you see what each discipline guards. Both guard the published artifact: about half of each won't ship anything AI wrote unedited. PR also guards the connection. The relationship with a reporter is the asset a PR career is built on, and it's the one thing in the workflow that doesn't get faster when you automate it. USC Annenberg's data lands in the same place from the other direction: 68% of agency executives strongly agree that people will remain essential to PR, even as AI takes over more of the production load.
AI welcome at the production layer, contested at the pitch, banned at the relationship. The closer a task gets to a human on the other end, the faster PR pros take their hands back off the wheel.
What this means for PR teams and their clients
If you run a PR team, the data is a permission slip and a warning at once. The permission: automate the production layer aggressively: research, first drafts, media-list building, summarizing. Most of your peers already do, and the time it frees is real. The warning: the pitch and the relationship are where AI stops being leverage and starts being a liability, so the freed-up hours are best spent on the human work, not on sending more automated pitches into a response rate of about 3%.
If you're hiring a PR partner, this is the question worth asking: where do they draw the line? An agency that lets AI draft and send pitches unsupervised is optimizing for volume in a channel that punishes it. The work that earns coverage (the judgment about which angle fits which reporter, the relationship that gets a pitch read at all) is exactly the work the profession refuses to hand to a machine. Media outreach done well still runs on that human layer. Reporter Outreach builds digital PR campaigns around it, using AI to clear the production work so the editorial judgment gets more attention, not less. For the wider numbers on cost, effectiveness, and benchmarks, our digital PR statistics roundup goes deeper.
There's a second reason the human layer matters now: the coverage it earns feeds AI answers. Muck Rack's May 2026 Generative Pulse analysis of more than 25 million links cited by ChatGPT, Claude and Gemini found that 84% of AI citations come from earned media, which makes digital PR the strongest lever for AI visibility.
Want coverage built on judgment, not automation?
We use AI to clear the busywork and put human judgment where it earns placements: in the pitch and the relationship.
Frequently asked questions
How widely is AI used in PR?
Very widely. In our 2026 survey of 200 PR professionals, 83% reported using AI in their work and 64% use it daily or weekly. Adoption is no longer the dividing question in PR; how pros apply AI to different tasks is.
Do PR pros use AI to write pitches?
Some do, cautiously. Among PR pros who use AI, 15% always use it to draft pitches, 50% do so sometimes, and 35% never do. The pitch is the most contested task in the PR workflow because it goes straight to a journalist.
What won't PR professionals trust AI with?
The journalist relationship above all else. 59% of PR pros say they won't trust AI with journalist relationships, the top off-limits category among PR pros and nearly three times the rate among SEOs (20%).
Do PR pros disclose when they use AI?
Not consistently. Just 23% of AI-using PR pros always disclose AI involvement, 42% disclose sometimes, and 18% never do. PR discloses slightly more often than SEO, but most of the profession treats it case by case.
What does AI do best in PR right now?
Production work. PR pros lean on AI most for drafting content (53%), ideation (52%), and writing outreach copy (52%), and they name drafting as the single task AI has changed most. The internal, pre-journalist work is where AI adds the most value with the least risk.
How should you use AI for a PR pitch?
Use it for the groundwork: researching the reporter's recent stories, brainstorming angles, summarizing your data and producing a rough first draft. Then rewrite the pitch yourself so it reads as written for that one journalist, check every fact and figure, and never send AI copy unedited or in bulk. That matches how most PR pros work: in our survey, half of AI users let it draft pitches sometimes, and only 15% always do.
Sources: Reporter Outreach 2026 Survey of 500 SEO and PR Professionals (PR segment, n=200; AI-user subset n=166); USC Annenberg Center for Public Relations, 2025 Global Communication Report (1,000+ communicators); Propel Media Barometer (Q1 2024; 405,000 pitches); Muck Rack, Generative Pulse (May 2026; 25M+ links cited by ChatGPT, Claude and Gemini).
Brandon founded Reporter Outreach in 2017. Since then, he and his team have run 500+ editorial link building campaigns for healthcare, SaaS, technology, and more, earning over 25,000 placements. He writes about digital PR, link building, and how authority signals are shifting for AI search.




