Generative AI has quietly changed what users expect from every digital experience. After interacting with systems that understand intent, respond conversationally and anticipate needs, consumers increasingly expect that same level of intelligence everywhere.
And why wouldn’t they?
If ChatGPT understands their intent instantly, why shouldn’t the search experience on your site do the same? If Spotify anticipates what they want next, shouldn’t your content and commerce experiences feel equally intuitive? If AI assistants can summarize information conversationally instead of forcing users through menus and filters, why would customers tolerate rigid digital experiences elsewhere?
How Gen AI Has Reset Expectations
For years, users adapted to systems— learning navigation structures, search syntax and workflows. Now they expect systems to adapt to them through natural language, contextual understanding and personalized guidance.
The reality is that generative AI hasn’t just introduced new capabilities. It has reset expectations. That is why generative CMS is emerging as the next major evolution in digital experience infrastructure.
What is a Generative CMS and What Does it Mean for the Modern Buyer Journey?
At its core, generative CMS represents the evolution of content management from static publishing systems into intelligent, AI-powered experience platforms. Rather than simply storing and delivering content, these systems dynamically assemble experiences based on user intent, context and real-time interaction.
When paired with agentic, retrieval-augmented approaches, organizations can promote a hyper-personalized journey, dynamically adapting content based on user intent. For companies still relying on legacy systems, static rules and pre‑set personalization paths, consumer dissatisfaction is clear. McKinsey found that more than 75% of surveyed consumers are turned off by content that doesn’t feel relevant.
By replacing these legacy systems with a modern digital experience, businesses can surface the right products faster, and in ways customers want to see them. In one example, a media and entertainment company operationalized a CMS platform with AI‑assisted marketing, scaling hyper‑personalization and generative content capabilities while streamlining content editing. The result: a reduction from 80–90 editors to 30–40 active contributors.
These advances bring brands closer to delivering experiences that feel seamless, adaptive and authentically human.
What Generative CMS Means for Search
One of the clearest examples of this shift is search itself. As user expectations evolve, search is transforming from a keyword-driven discovery tool into a conversational, intent-driven experience.
Search is undergoing one of the most significant transformations since the early days of the internet. The traditional model of users typing a query into Google and scrolling through a list of blue links is giving way to a new age, where artificial intelligence generates instant conversational responses.
A recent Bain & Company report shows that 80% of consumers now use AI-written results for at least 40% of their searches, and this has already contributed to a 15% to 25% decline in organic web traffic for publishers and brands.
For marketers, this shift represents both a challenge and an opportunity. The practices that made content discoverable for the past two decades are no longer sufficient and a new discipline is emerging to help brands remain visible in the age of AI.
Why Traditional SEO is No Longer Enough
For years, search engine optimization was guided by three core principles: keywords, backlinks and page structure. Optimizing around these elements could reliably improve rankings and deliver visibility. While these fundamentals remain relevant, they are increasingly secondary to the new criteria that AI-powered systems use to decide which content to surface.
Generative search tools such as ChatGPT, Perplexity and Google’s Search Generative Experience prioritize content that demonstrates context, clarity and authority. This is where generative CMS comes in. As the nature of search shifts from links to answers, LLMs prioritize pulling from structured, context-rich content.
McKinsey reports that 71% of organizations are already using generative AI in at least one business function, and as users increasingly rely on AI to synthesize information, the old keyword-driven model is losing its ability to capture attention. Marketers who continue to rely exclusively on legacy SEO tactics risk invisibility as large language models begin to dominate how people consume information.
Attention as the New Digital Currency
The shift toward AI-driven search also changes the metrics of success. In the traditional SEO model, the primary goal was to drive traffic. Marketers measured success in clicks, impressions and page rankings. In the new environment, traffic is no longer the ultimate measure.
Generative search tools may never send users directly to your site, but they may surface your insights, reference your brand or include your data in their responses. As a result, the true measure of success becomes whether your content is authoritative enough to be surfaced, referenced and trusted by AI systems.
For marketing teams, that value will only be realized if they adapt to a model where the emphasis is on being useful, accurate and authoritative enough to be included in AI answers.
Practical Strategies for the AI Era
The path forward requires a blend of human expertise and machine awareness. First, marketers must shift from writing for queries to writing for questions. Content should address the actual language that people use when they ask questions of an AI system, not just the shorthand they might type into a search bar.
Second, clarity and completeness are paramount. Deloitte’s “State of Generative AI” report emphasizes that users value trust and transparency above all else in AI outputs. Content that is clear, avoids jargon and provides full standalone value is more likely to be reused by AI systems.
Third, structure matters. Headings, bullet points, metadata and schema markup give AI models the cues they need to correctly interpret and represent content. Finally, authority is key. Building a strong body of credible, interlinked content increases the odds that generative engines will pull from your expertise rather than a competitor’s.
Preparing for the Next Wave
The rise of generative search is only the beginning. Search behavior will continue to evolve as AI becomes embedded in browsers, productivity tools and everyday applications. Marketers must treat AI literacy as a central pillar of content strategy, not a technical afterthought.
Future-proofing content means building flexible ecosystems that can withstand changes in how information is retrieved, whether by traditional engines, conversational interfaces or new modalities yet to emerge.
Generative CMS may still be an emerging category but the shift driving it is already well underway. Users are no longer willing to navigate systems that make them do the work. They expect experiences that understand them, guide them and adapt to them in real time.
Organizations that recognize this shift early will be better positioned not only to remain visible in the AI era, but to deliver the kinds of experiences customers increasingly expect everywhere.
Sara Faatz leads the Digital Experience Technology Community Relations team at Progress. With some 20 years of experience leading corporate marketing and community building for multimillion-dollar international organizations, Sara is a dynamic leader with outstanding interpersonal skills. A respected influencer within the industries she contributes, she has a proven track record of conceptualizing and orchestrating campaigns that evolve the brand and positively impact the company’s image and revenue. Over the years, she has run marketing departments (both large and small), built community programs from the ground up, created partner programs, and acted as a brand ambassador and spokesperson for various organizations.
