AI in web content: what the Pew study says for SMEs

The context: half a million pages analyzed

By the end of August 2026, the Pew Research Center published a broad-ranging study. Researchers examined nearly 500,000 English-language web pages. The goal was to quantify the spread of AI-generated texts on the commercial web. The results, reported by The Decoder , confirming clear and measurable growth.

Specifically, the study focuses on the period following the launch of ChatGPT, which took place at the end of 2022. Since then, AI-assisted content production has seen unprecedented acceleration. Therefore, the Pew data does not surprise industry experts, but for the first time offers a solid quantitative baseline.

Just like other tech trends, the spread is uneven. Commercial sites with a .com domain show a concentration of AI content ten times higher than institutional domains (.edu, .gov). This info is key for anyone working in digital marketing and SEO.

The numbers that really matter

The main data point is clear: over a third of pages published after November 2022 shows signs pointing to machine-generated text. Yet, it is important to put this figure into perspective. Not all AI text is the same in terms of quality or editorial value.

Plus, the focus on .com domains suggests that commercial pressure is the main driver for adoption. Companies are looking for higher content volumes at lower costs. As a result, many sites have integrated auto-generation tools into their editorial workflows.

The Pew study captures only the beginning of a structural transformation in how companies produce digital content.

Finally, it's worth noting that the sample analyzed is in English. The Italian market is still slightly behind the Anglo-Saxon one, but the adoption curve is similar. Italian SMEs therefore still have room to strategically position themselves.

Strategic take: what changes for SEO and content marketing

The boom in AI content has a direct impact on organic rankings. Google has stated multiple times that it doesn't penalize AI-generated content just because it's AI. Instead, it penalizes low-quality content, no matter where it comes from. But the real-world difference is pretty blurry.

In particular, Google's evaluation systems — summarized in the framework E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) — they favor content that shows real-world experience and authority. These things are tough to copy automatically. So, unoptimized AI text risks feeling generic and pointless.

We at SHM Studio we see this happening every day in projects for SEO that we monitor. Sites that have adopted AI content indiscriminately often show a drop in organic traffic in the following months. Conversely, those who integrate AI with structured editorial supervision achieve stable or growing results.

Therefore, the critical variable is not the use of AI, but the quality of the overall editorial process. This includes defining a digital marketing plan aligned with business goals.

The commodity risk: when all content looks the same

There is a side effect emerging from the Pew study that deserves specific attention. If over a third of the commercial web uses AI texts, the risk of content homogenization becomes real. Similar articles, identical narrative structures, standardized vocabulary.

Plus, language models tend to lean towards middle-of-the-road, probable answers. Because of this, text from different tools like GPT-4o, Claude, and Gemini often ends up with the exact same style. For a brand looking to stand out, that's a big strategic headache.

The competitive value of digital content is increasingly shifting towards authenticity and proprietary viewpoints. Companies investing in a distinctive editorial voice will have a growing advantage over those relying solely on automation.

In this sense, the strategic copywriting it is not a cost to cut down, but a competitive asset. The difference between copy that converts and copy that gets ignored often lies in details that only a seasoned writer can spot.

Operational implications for Italian SMEs

Translating Pew's data into concrete decisions requires a shift in perspective. It's not about deciding whether or not to use AI. It's about defining where AI adds value and where it takes it away .

Here are a few practical tips for marketing managers:

• High-volume, low-complexity content — product pages, FAQs, category descriptions — are prime candidates for assisted automation. Still, they always need an editorial review before going live.
• Strategic content — case studies, white papers, thought leadership articles — must keep a strong human touch. These formats build authority and cannot be entirely handed over to AI.
• Blog and content hub they require a hybrid strategy. AI can support research, structure, and first drafts. Editorial review ensures quality and consistency with the brand's tone of voice.
• paid campaigns — on Google Ads or Linkedin — benefit from AI for creative testing, but require strategic oversight to avoid generic messaging.

Beyond this, it is crucial to monitor content performance over time. Content that performs well today could lose its ranking if the search engine updates its evaluation criteria. Therefore, the SEO must be seen as an ongoing process, not a one-off fix.

A Milanese agency's perspective: what the data doesn't tell you

The Pew Research numbers are useful for understanding the scale of the phenomenon. However, they don't tell the whole story. In particular, they don't distinguish between high-quality AI content and mediocre AI content. They don't measure the impact on user experience or user trust.

In our direct experience with Italian SME and mid-market clients, the problem is not AI itself. The problem is adoption without a strategy. Many companies have started using automatic generation tools without defining editorial guidelines, without training their teams, and without integrating the new workflows with their goals. digital marketing already in place.

Similarly, not all agencies offering services for AI applied to marketing have the same methodological expertise. The difference shows in the six- and twelve-month results. Thus, choosing the partner to navigate this transition with is a strategic decision in its own right.

Finally, the reputational factor must be considered. In a context where a third of the commercial web uses AI texts, brands that communicate with authenticity and depth stand out by contrast. This is a competitive advantage that Italian SMEs can seize today, before the market consolidates further.

Outlook: what to expect in the 2027-2028 biennium

The trajectory is clear. The gap between those who have already structured an AI approach to communication and those still in the exploratory phase tends to widen over time.

In the 2027-2028 period, it's reasonable to expect greater sophistication in AI content detection tools from search engines. Consequently, editorial quality will become even more crucial for organic positioning. Furthermore, users themselves will develop greater sensitivity towards content perceived as authentic.

For Italian SMEs, the time to build a structured hybrid and sustainable content strategy is now. Waiting means chasing a fast-moving market. The team at SHM Studio is available to support this transition with a consultative approach based on data and operational experience. To learn more, you can check out our Blog or contact us directly from the page contacts .