More people are skipping the familiar list of blue links and going straight to ChatGPT when they want to find a product or a service. A new international survey found that 68% of respondents have already used ChatGPT for that kind of search, an early sign that “AI search” is becoming a habit, not a novelty.
For businesses, the shift is blunt: if your website isn’t built in a way AI systems can easily read, extract, and trust, you may not show up at all. In a world where generative tools deliver a single synthesized answer instead of ten options, being “ranked” isn’t the same as being included.
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AI search doesn’t work like Google, and that changes everything
Traditional search engines like Google typically return a page of results and let users decide what to click. Generative AI tools do something different: they assemble an answer from a small set of sources they consider reliable, then present that response directly.
If your site isn’t among those sources, you’re effectively invisible, even if you still rank well on Google for the same query. That dynamic is fueling a new playbook often called Answer Engine Optimization, or AEO: structuring a site so AI models can understand it, pull from it, and cite it accurately.
The same survey highlights a key tension for brands. While 68% said they’ve used ChatGPT to explore products or services, only 19% said they fully trust it for that purpose. By comparison, 45% said they fully trust traditional search engines. Translation: consumers are experimenting with AI, but they’re still skeptical, and brands with messy or incomplete information risk being misrepresented or left out of AI-generated answers.
AEO: the new fight to get cited, not just ranked
AEO focuses on making web content “machine-usable.” That means clear page structure, properly labeled data (often called structured data), and writing that answers specific questions in tight, self-contained chunks that an AI can quote without losing the meaning.
This is also where website-building choices start to matter more. The underlying code, page speed, and site architecture can influence whether AI systems can efficiently crawl and interpret your content, similar to SEO, but with higher stakes because the AI may only surface a handful of sources.
Why Webflow and “no-code” platforms are getting attention
The article points to Webflow, one of the better-known no-code website builders, as an example of a platform gaining traction for professional sites. The pitch: it can generate cleaner HTML and avoid the plugin bloat that often slows down traditional builds, especially on heavily customized setups.
Speed and technical cleanliness matter for Google’s ranking systems, and they can matter for AI tools evaluating whether a site looks like a solid source. No-code tools can also shorten production timelines, delivering custom sites in weeks rather than months, while giving marketing teams more control to publish and update content without waiting on a developer.
The piece argues that a well-built Webflow site can offer practical advantages for AI visibility, including semantic HTML, faster load times, a more independent content management setup, and a structure that can scale without piling up technical debt.
How companies can make their sites easier for AI to cite
The fixes, in many cases, are straightforward. One major lever is structured data, standardized markup that tells machines exactly what your business is, what you offer, where you operate, and other key details without ambiguity.
Another is credibility signaling. The article references Google’s E-E-A-T framework, Experience, Expertise, Authoritativeness, and Trustworthiness, which has become a shorthand for how search systems evaluate whether a source deserves visibility. Practical steps include clear author pages, signed articles, and content that demonstrates real expertise rather than generic marketing copy.
Editorial format matters, too. AI systems more easily extract short, standalone passages that answer a specific question in a few sentences than they do long, dense blocks of text. And external validation still counts: if reputable third-party sites mention your brand, AI systems may be more willing to treat you as a trustworthy recommendation.
The takeaway: businesses now have to optimize for Google and AI
The point isn’t to pick a side between Google and generative AI. It’s to cover both. Companies still need strong SEO, but they also need sites built to be understood and cited by AI tools that increasingly shape what consumers see first.
The market for AEO-focused web strategy is still forming, which creates an opening for early movers. As AI answers become a bigger part of how people decide what to buy and who to hire, the brands that show up in that first synthesized response may win, while everyone else fights for scraps below.
