Is Generative AI Making Content Smarter or Just Louder? Experts Weigh In

Generative AI in Marketing: Is Original Research Still Worth It?

AI-generated content has exploded in the last few years, making SEO efforts faster and more scalable than ever. 

But with the rise of generative AI, are we losing true expertise? AI can churn out thousands of words in seconds, but is it just repackaging what’s already out there? 

In contrast, original research brings something new to the table — data-driven insights that drive authority, build trust, and differentiate brands.

But scaling original research in SEO is tough. It takes time, effort, and resources. 

So, in an era where generative AI is at our fingertips, is original research still worth the investment? Or are we headed toward a future where SEO is simply about who can produce content the fastest?

We asked eight thought leaders for their take on original research vs. AI-generated content, and the consensus is clear — while generative AI in marketing can enhance efficiency, original research remains the key to true authority.

The Challenge of Scaling SEO Through Original Research

Scaling SEO with original research is problematic because it requires time, money, and expertise. Unlike AI-generated content, which can be produced quickly, original research involves surveys, proprietary data collection, and industry reports.

Aaron Franklin, Head of Growth at Ylopo, knows firsthand how powerful original research can be. He ditched generic SEO tools for manual surveys and found that what people actually care about often differs from what search algorithms assume.

“In 2018, I manually surveyed 400 homeowners instead of relying on SEO tools,” Franklin said. “The result? A report revealing 68% cared more about commute times than school districts — a nuance algorithms missed. That study still drives 12% of our organic traffic today.”

Franklin’s experience highlights a key limitation of AI: It can summarize existing data, but it can’t generate new insights. This is why original research holds lasting value — it feeds unique, high-quality content into the SEO ecosystem rather than rehashing the same information AI scrapes from the web.

Why Original Research Still Matters in SEO

Many marketers agree: While original research is challenging to scale, it’s more impactful in the long run.

Lana Rafaela Cindric, SEO & Content Manager at SiteGuru, points out that people are tired of seeing the same recycled content online:

“Most content out there is rehashed and plain annoying to users who now turn to Reddit for fresh insights,” Cindric said. “We first look at what our data can tell us about audience challenges, then format it into what works best — blog posts, videos, or whitepapers. This has led to increased organic rankings and social shares.”

This is the real power of original research — it doesn’t just help SEO; it builds brand authority in SEO and thought leadership.

Darwin Liu, CEO of X Agency, emphasizes how original research sets brands apart:

“Scaling SEO with original research is challenging but rewarding. We’ve increased engagement by 50% through data-driven reports, secured high-authority backlinks, and created evergreen content that fuels long-term organic growth. AI can summarize, but it can’t replace real-world insights.”

Simply put, brands willing to invest in original research will own their niche, while those relying solely on AI-generated content risk blending into the noise.

AI + Original Research: Finding the Balance

The best approach isn’t choosing between AI and original research — it’s leveraging both. AI can process large datasets and summarize trends, but it works best when paired with original data that generative AI doesn’t have access to.

For example, Swayam Doshi, Founder of Suspire, ran a study on eco-friendly packaging preferences, and the results were game-changing:

“By publishing our findings, we saw a 41% increase in organic traffic within three months. AI made it easier to analyze the data, but the original research helped us stand out as a thought leader.”

Similarly, Laurence O’Toole, CEO of Authoritas, notes that original research plays a huge role in lead generation and competitive advantage:

“Original research works exceptionally well for high-quality lead generation and increased conversion rates. It also generates links and shares, positively impacting rankings.”

AI alone can’t create this level of engagement. But when AI is used as a supporting tool — to process data, automate tasks, or repurpose insights — it becomes a powerful asset in scaling research-driven content.

Are We Losing Expertise in the Age of AI?

With AI-generated content flooding the internet, some fear that true expertise is being lost. But for those willing to go beyond generic AI-driven content, the opportunity to stand out is greater than ever.

As Yoyao Hsueh, Founder and CEO of Floyi, puts it:

“Original research is the gold standard of content and SEO. AI can summarize existing knowledge, but it can’t generate new knowledge. That’s where real expertise comes in.”

At Criterion.B, AI is an incredibly useful tool for content marketing, but it should never replace human expertise. Brands that commit to producing new insights — whether through surveys, case studies, or proprietary research — will always have an edge.

The future of SEO isn’t about who can generate the most content the fastest. It’s about who can provide the most valuable content.

That’s what sets real thought leaders apart.