
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, and 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. No other tool is the primary pick for more than 17%.
- Spend is real, not experimental: 47% of teams put more than $200 a 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 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 almost the same line. The one big exception is journalist relationships, which PR pros guard far more closely.
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 at least 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, with keyword research and technical audits on one side and pitch angles and outreach on the other. 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 and brainstorming | 57% | 60% | 53% |
| Drafting written content | 56% | 57% | 53% |
| Keyword and topic research | 51% | 69% | 25% |
| Editing and proofreading | 49% | 54% | 42% |
| Summarizing research or transcripts | 44% | 42% | 46% |
| Writing outreach or pitch emails | 36% | 25% | 52% |
| Data analysis and reporting | 35% | 41% | 27% |
| Technical SEO (schema, code, audits) | 30% | 48% | 4% |
| Image generation | 25% | 28% | 20% |
| Generating pitch angles or 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 surprised us. Despite all the drafting, AI hasn't taken over the blank page. When we asked AI users what share of their first drafts now start with AI, about half said 1% to 50%, 14% said none and only 12% said more than three quarters. AI is a co-writer for most and a ghostwriter for very few.
If you manage a blended team, "are we using AI?" is the wrong question, because both sides already are. The real question is whether your SEO and PR functions share what they've learned, since 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 and 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 and similar) | 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, which means the spending hasn't been formalized yet. It usually 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. Among AI users, only 21% always tell clients or stakeholders when AI was involved, 40% sometimes do, and 21% never do. There's no settled norm yet, which is its own quiet risk: the standard will eventually be set by someone, and teams that never disclose may find the ground has shifted under them.
As for the question everyone asks, whether AI is taking jobs, the answer so far is muted. 54% reported no headcount change, 26% restructured roles rather than cutting 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. The typical user gets back a few hours a week, and four in ten get back six hours or more.
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 a high 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 pros won't 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.
Then there's 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. We break down exactly how PR teams use AI, and where they stop, in our deep dive on AI in PR.
| Won't trust AI with | All | SEO | PR |
|---|---|---|---|
| Anything published unedited | 50% | 49% | 52% |
| Final client deliverables | 45% | 41% | 52% |
| Strategy | 37% | 37% | 39% |
| 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 an AI factual error make it into a draft. Most caught it, but 13% say it slipped through.
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 layer for production work across both disciplines, the spend is hardening into a standing budget line, and the SEO and 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 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
How many SEO and PR professionals use AI in 2026?
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.
Do SEO and PR teams use AI differently?
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%).
Which AI tools do SEO and PR pros use most?
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%).
How much do teams spend on AI tools each month?
Nearly half (47%) spend more than $200 a month, and only 12% spend nothing. More of that money is reallocated from existing tools (36%) than added as new budget (24%).
Do professionals trust AI to work unsupervised?
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.
Will AI become more important to SEO and PR?
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.
Methodology: Reporter Outreach surveyed 500 US SEO and digital PR professionals (300 SEO, 200 PR) in June 2026 through an online questionnaire shared across SEO and PR communities, professional networks, and the Reporter Outreach client and partner base. Respondents qualified if SEO, link building, digital PR or earned media was a core part of their job in the past 12 months. All answers are self-reported. Questions on tools, editing, disclosure, output quality, ranking effects, factual errors, the biggest-impact task and first drafts are calculated among the 453 respondents who use AI, and time saved among the 429 AI users who estimated it. Adoption, the task table, spend, budget source, headcount, concerns, off-limits tasks and outlook are calculated across all 500, so the task table counts the 47 non-users under "Use no AI for any of these." Percentages are rounded to the nearest whole number.
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.




