Key Takeaways
The AI SEO statistics below come from our 2026 survey of 500 US SEO and digital PR professionals.
- 91% of the 500 SEO and PR pros we surveyed use AI in their work; 74% use it daily or weekly. Only 9% don't — and most of them plan to start.
- The two disciplines have split into different workflows: 69% of SEOs use AI for keyword research versus 25% of PR pros, while 44% of PR pros use it to generate pitch angles versus 8% of SEOs.
- ChatGPT is nearly universal — 89% use it and 52% call it their primary tool. Everything else is a distant second.
- Spend is real, not experimental: 47% of teams put more than $200 per month into AI tools.
- Almost no one trusts AI unsupervised. Only 6% use its output as-is, and 59% of PR pros refuse to let it touch journalist relationships.
- 59% expect AI to be essential to the work within two years.
We surveyed 500 SEO and digital PR professionals in the United States about how they actually use AI in their day-to-day work. These numbers aren't projections or a vendor's pitch deck — they're what 300 SEOs and 200 PR pros told us about their tools, their budgets, and the tasks they still refuse to hand to a model.
The headline isn't that adoption is high. Everyone knows adoption is high. The interesting part is what the numbers show underneath it: SEO and PR have quietly split into two different AI workflows — and both stop at the exact same line.
Here's what the data says, and where it points.
AI adoption is nearly universal
91% of the pros we surveyed use AI in their work. Three quarters use it every day or every week, and only 9% don't use it at all — a group that's shrinking, since most of them told us they plan to start.
This isn't a story about early adopters anymore. When 74% of a profession reaches for the same category of tool weekly, it's infrastructure. The more useful question is what they're doing with it, and the answer is less uniform than the adoption rate suggests.
Usage is also deepening. 73% said their AI use increased over the past year, and nearly a third said it increased a lot. Asked how central AI is to their daily work on a five-point scale, the average landed at 3.3 — squarely in "part of the toolkit," not "occasional novelty."
The same tool, until the work gets specialized
Hand an SEO and a PR pro the same AI tool and they'll use it for nearly identical core work — brainstorming (57%) and drafting (56%) split almost evenly. The disciplines only reappear at the specialized edges: keyword research and technical audits on one side, pitch angles and outreach on the other. And one of those edges is near-total — just 4% of PR pros use AI for technical SEO, versus 48% of SEOs.
That convergence is the part worth sitting with. The discipline barely shapes how these teams use AI for core thinking work — it only asserts itself on the specialized tasks at the edges. The full breakdown of who hands what to AI:
| Task | All | SEO | PR |
|---|---|---|---|
| Ideation / brainstorming | 57% | 60% | 52% |
| Drafting written content | 56% | 57% | 53% |
| Keyword / topic research | 51% | 69% | 25% |
| Editing / proofreading | 49% | 54% | 42% |
| Summarizing research / transcripts | 44% | 42% | 46% |
| Writing outreach / pitch emails | 36% | 25% | 52% |
| Data analysis / reporting | 35% | 41% | 27% |
| Technical SEO (schema, code, audits) | 30% | 48% | 4% |
| Image generation | 25% | 28% | 20% |
| Generating pitch angles / media lists | 22% | 8% | 44% |
| Use no AI for any of these | 9% | 4% | 17% |
Asked which single task AI changed the most, both camps named drafting first (24% overall). But the second choice split predictably: SEOs said keyword research, PR pros said pitch angles. The tool is the same. The job is not.
One more number that surprised us. Despite all the drafting, AI hasn't taken over the blank page. When we asked what share of first drafts now start with AI, the responses spread evenly across the range — and 22% said zero. AI is a co-writer for most, a ghostwriter for very few.
If you manage a blended team, "are we using AI?" is the wrong question — both sides already are. The real question is whether your SEO and PR functions are sharing what they've learned, because they're solving different problems with the same tools and rarely comparing notes.
The tools they use — and what they pay
ChatGPT isn't winning the AI tools race — it already won. 89% of AI users reach for it, and 52% name it their primary tool. No other tool comes close on primary use: Gemini sits at 17%, Microsoft Copilot at 11%, and Claude at 7%.
The one place the SEO/PR split resurfaces is specialized tooling. 45% of SEOs use an SEO-specific AI tool like Surfer or Frase; only 17% of PR pros do. General-purpose assistants are shared ground; purpose-built SEO tools are not.
| Tool | Use it | Primary tool |
|---|---|---|
| ChatGPT | 89% | 52% |
| Gemini | 56% | 17% |
| Microsoft Copilot | 40% | 11% |
| Claude | 36% | 7% |
| SEO-specific AI (Surfer, Frase, etc.) | 35% | 7% |
| Perplexity | 27% | 3% |
Spend tracks the seriousness. Nearly half of teams — 47% — put more than $200 into AI tools every month, and only 12% spend nothing at all — mostly the non-users. This isn't trial-credit territory anymore; it's a line item.
Where's the money coming from? Mostly reshuffling. 36% reallocated budget from existing tools and 7% from headcount, while 24% secured genuinely new budget. A third operate with no dedicated AI budget at all — spending that hasn't yet been formalized, which usually means it will be.
Almost nobody ships AI work unedited
Only 6% of AI users put its output to work without editing it. The other 94% review everything — 37% heavily, 43% with a light edit, and 13% rarely but still with eyes on it. Whatever the hype says, the working reality is human-in-the-loop almost without exception.
Disclosure is messier. Only 21% always tell clients or stakeholders when AI was involved, 39% sometimes do, and 21% never do. There's no settled norm here yet — which is its own quiet risk, since the standard will eventually get set by someone, and teams that never disclose may find the ground has shifted under them.
As for the question everyone asks — is AI taking jobs — the answer so far is muted. 54% reported no headcount change, 26% restructured roles rather than cut them, 13% hired fewer people because of AI, and 8% actually hired more. The story is reshaped work, not mass replacement.
What AI is actually improving
Most users say AI made their work better, not just faster. 61% reported improved output quality, 28% saw no change, and only 10% said it hurt. That's a meaningful vote of confidence from people editing the output closely enough to judge.
The time savings are concrete without being fantastical. Among AI users who quantified it, 39% save two to five hours a week, 26% save six to ten, and 16% save more than ten. Most of the field is getting back the better part of a workday, not being transformed overnight.
The murkiest area is visibility. Asked whether AI-assisted content has helped or hurt their rankings and AI-search presence, 42% said it helped, 20% saw no effect, 8% said it hurt — and 30% said it's too early to tell. That uncertainty is honest. It also lines up with something we've covered elsewhere: AI search still rewards earned media and genuine authority, not volume of machine-written pages. Producing more AI content faster doesn't move that needle on its own.
Where pros draw the line
For all the adoption, there's a clear floor — work that pros will not delegate to AI no matter how good it gets. Half won't publish anything AI-generated without editing it first. 45% won't trust AI with final client deliverables. 37% keep strategy off-limits, and 34% won't hand over data interpretation.
And then the finding that should matter most to anyone in earned media: 36% won't trust AI with journalist relationships — and among PR pros specifically, that jumps to 59%. Nearly six in ten of the people whose job is media relationships say the relationship itself is the one thing AI doesn't touch.
| Won't trust AI with | All | SEO | PR |
|---|---|---|---|
| Anything published unedited | 50% | 49% | 52% |
| Final client deliverables | 45% | 41% | 52% |
| Strategy | 37% | 37% | 38% |
| Journalist relationships | 36% | 20% | 59% |
| Data interpretation | 34% | 35% | 34% |
The concern driving a lot of this caution is accuracy. 37% named hallucinations and factual errors as their single biggest worry — well ahead of originality (15%), over-reliance (14%), or losing brand voice (13%). The fear is earned: among AI users, 69% have had AI produce a factual error, and for 13% that error made it into a draft or client deliverable before being caught.
Notice what sits on the "won't delegate" side: relationships, judgment, final accountability. AI compresses the production around those things, but the things themselves are exactly what still earns a placement, a link, or a client's trust. The pros closest to the work already know which half is which.
This is also why reactive media outreach hasn't been commoditized by AI the way content production has. A model can draft a pitch. It can't have a relationship with a reporter, read whether a story is landing, or be accountable when it isn't.
Where this goes next
The field expects more, not less. 59% believe AI will be essential to SEO and PR work within two years, 31% see it as helpful but secondary, and only 10% think it's overhyped and on the way down. Spending intentions match: 58% plan to increase their AI budget next year, 36% will hold steady, and just 7% expect to cut.
Put the whole survey together and the trajectory is clear. AI is becoming the default substrate for production work across both disciplines, the spend is hardening into permanent budget, and the SEO/PR split in how it's used is likely to widen as purpose-built tools mature. What isn't moving is the line. The relationship-and-judgment work that sits above the tooling is where the value concentrates — and the people doing that work intend to keep doing it themselves.
For teams building authority in 2026, that's the strategic read: use AI to move faster on everything below the line, and protect the capacity above it. The AI tools you choose matter less than whether you're still investing in the earned coverage and real relationships that AI can't manufacture.
The work AI can't do is where coverage comes from
Your peers won't hand journalist relationships to a model — because real editorial coverage still comes from real outreach. That's the part we own at Reporter Outreach.
Frequently asked questions
In our survey of 500 US professionals, 91% use AI in their work and 74% use it daily or weekly. Just 9% don't use it at all, and most of that group said they plan to adopt it.
On core work, barely — both lean on it for brainstorming and drafting at nearly the same rate. The split shows up on specialized tasks: SEOs use it for keyword research (69%) and technical work (48%); PR pros use it for pitch angles (44%) and outreach emails (52%).
ChatGPT leads by a wide margin — 89% use it and 52% call it their primary tool. Gemini, Microsoft Copilot, and Claude follow. SEO-specific tools like Surfer are far more common among SEOs (45%) than PR pros (17%).
Nearly half (47%) spend more than $200 per month, and only 12% spend nothing. Most of that money is reallocated from existing tools rather than added as new budget.
Almost none do. Only 6% use AI output without editing it, half won't publish anything AI-generated unedited, and 59% of PR pros won't let AI handle journalist relationships.
Most expect so. 59% believe AI will be essential to the work within two years, and 58% plan to increase their AI spend next year.
Source: Reporter Outreach State of AI in SEO & PR survey, 2026. Base: 500 US professionals (300 SEO, 200 digital PR). Percentages for usage, tool, and review questions are calculated among the 453 respondents who use AI; adoption, spend, concern, and outlook questions are calculated across all 500.
