Does AI content rank well in search? [Survey + Data study]

Using AI for content production has become standard practice. The question most SEO teams are actually asking is how well it works.

So we analyzed 20,000 keywords and 42,000 blog posts to find out.

Content classified as purely AI-generated appeared in the top spot just 9% of the time. Content classified as human-written was there 80% of the time.

But that number needs context. The finding isn’t that AI is inherently bad; it’s that search rewards human originality. The detector doesn’t care about your process. It reads the finished product.

This study looks at how marketers perceive AI’s impact on content performance, and how those perceptions hold up against real ranking data.

Key takeaways 

• 87% of SEO teams report that their content is either fully created by humans or heavily led by humans, keeping humans directly involved in production and editing.
• 72% of SEOs say AI content ranks at least as well as human-written content. But our analysis of 42,000 blog pages shows position 1 results are 8x more likely to be human-written.
• 70% of SEO teams cite speed as the top benefit of using AI, but only 19% say it improves content quality. 
• AI use is concentrated in text-based tasks but drops sharply for multimedia and localization, where the tools are more specialized and the output is harder to evaluate.
• Human-written content holds an advantage across all top 10 SERP positions, but the gap is sharpest near the top where AI-generated content nearly doubles between position 1 and position 4.

1. Humans still lead most content workflows

87% of SEO teams report that their content is either fully created by humans or heavily led by humans. Keeping humans directly involved in production and editing.

64% of SEOs use a human-led AI-assisted workflow, making it the most common content production model today. 

Another 23% report creating content entirely without AI.

This suggests that while AI is becoming standard infrastructure in content workflows, most teams have humans continue to play a pivotal role in the editorial process.

2. AI is commonly used in content creation for tasks like research, editing, and optimization

At least 65% of respondents use AI for core writing tasks like research, editing, and on-page optimization.

But AI use is much lower on tasks that go beyond the writing process. Visual content creation (28%), translation (15%), and video or audio production (9%) lag far behind.

That gap makes sense. 

Text-based tasks are where AI feels most natural and easiest to integrate. Whereas, multimedia and localization require more specialized tools, more subjective judgment, and often more budget. 

Working on the Semrush blog, AI supports how we produce content, but it only gets us part of the way. For every step in which we use AI — ideation, outlining, drafting… — we have a human reviewing the output. Every article involves at least three people (a strategist, a writer, and an editor). Often up to five. And all of them are subject matter experts or work very closely with them.

They also have a deep understanding of our tools and how to use them to address the real problems our customers face. That layer is critical. In SaaS, especially in a product as broad as Semrush, recommending the right solution requires context and judgment.

And — at least in our experience — AI tools never do that good a job, no matter how much information we’ve fed them. Another place where we draw a clear line today is editing. That step is still fully human-led. We have experimented with internal tools to support fact-checking. But we have not replaced editorial judgment with AI, and we are not rushing to do so. 

Ana Camarena, Head of Organic Content Strategy at Semrush

3. Speed and ideation assistance are the biggest AI benefits

70% of SEO teams say faster content production is the top benefit of using AI. Brainstorming and ideation assistance comes in second at 62%.

But only 19% say AI improves content quality.

That gap is telling.

It might be because quality is hard to neatly define. It’s often a case of knowing it when you see it. 

And if you can’t clearly define what quality looks like, it’s tough to give AI tools clear enough direction to deliver it.

4. Most SEOs think AI content ranks as well as human-written content

Most SEO professionals that use AI content (72%) say they think AI-assisted content performs just as well or better than human-written content in search rankings—that’s up from 64% in our 2024 study.

The share who say it performs worse also grew, from 9% to 13%.

The biggest change is in the “not sure / haven’t compared” category, which dropped from 27% to 15%.

This shows how opinions are moving in both directions. After having some time to experiment and use AI in their workflows, more teams now have a definitive opinion on how they think AI content performs.

5. SEOs report AI content performance has improved

Almost 45% of respondents who use AI content say its SEO performance has improved over the past year. Another 25% say performance has stayed about the same. 

Only 6% report a decline.

But 25% say it’s too early to tell or they haven’t tracked performance yet. 

Those teams likely aren’t clearly distinguishing between their human-written and AI-assisted content. 

Or they might not have the tracking in place to measure the difference.

That’s worth noting, because without clear attribution, it’s hard to know whether performance gains are coming from the AI, the human editing, or the combination of both.

6. Our analysis of 42,000 blog posts shows human-written pages still win

After grading 42,000 blog posts with an AI detector, content classified as fully human-written outperformed content classified as AI-generated or mixed across all top 10 positions. 

But the gap is most striking at position 1, where pages have an 80.5% probability of being human-written compared with just 10% for AI-generated.

This might seem contradictory to the survey data, where 72% of SEOs said AI content ranks at least as well as human-written content. 

But it’s not.

The only real separation is at the very top. 

From position 5 onward, the gap between human-written and AI-generated content is relatively narrow. 

So if most teams are benchmarking against “ranking on page one,” AI content is holding its own. It’s only when you zoom in on the top positions that human-written content pulls clearly ahead.

What this study means for marketing teams

AI is now a standard part of content production for most teams. However, it’s not a hands-free shortcut to rank at the top of search.

For SEO teams, the implication is straightforward:

Use AI to move faster through research, outlining, and drafting. Then invest the time saved into incorporating expert insights, proprietary data, and other elements that make your content stand out.

AI helps us move faster, and speed does matter. But not enough to justify lowering quality standards. In most cases, an extra day or two won’t change the outcome — quality will. AI can support high-performing content. But the content that consistently stands out is still shaped by strong human input. And that often means trading some speed for better judgment and deeper expertise. 

Ana Camarena, Head of Organic Content Strategy at Semrush

Want to leverage Semrush’s own AI content generator? 

Try the Content Toolkit.

Instead of starting from a blank page, you start with a brief that already reflects what’s ranking — and what’s missing. Use it to move faster through first drafts and add your human insights, thoughts, and perspectives to take the generated content up to a level where it can rank.

Full methodology

We wanted real answers, so we dug into the data from two angles.

Here’s what we did:

1. Ranking analysis of 42,000 blog pages: In November 2025, we collected 20,000 keywords, extracted the top 10 Google results for each (200,000 URLs), and filtered for blog pages only (URLs containing “/blog/”) — leaving us with 42,000 pages. We parsed each article into clean text and ran it through GPTZero to classify it as human-written, AI-generated, or mixed. We then calculated the probability of each content type appearing at every SERP position.
2. Survey of 224 SEO professionals: We surveyed 224 marketers actively working in SEO and content marketing. Most respondents worked directly with content: 58% reported that they create and optimize content, and 40% said they oversee or approve content created by others. All results represent percentages of the total sample.