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In 2026, AI content creation is the new normal, but that's exactly why generic AI content is performing worse and worse in Google and in AI search engines. In this article, we show how we at DGTLbase use AI as an accelerator, not a replacement, and which approach produces content that both ChatGPT and Google like to cite.
In 2022, content marketing was an SEO game. You optimised page titles, wrote meta descriptions, added internal links and hoped for a good position in Google. In 2026, that no longer works. Not because those basics have become unimportant, but because everyone now does them, often with the same AI tool, in the same way, with the same result: an internet full of identical articles that nobody reads any more and no search engine wants to promote.
AI content creation is the new normal. But that's exactly why the way you do it now determines whether your content performs or drowns in the crowd. In this article, we show how we at DGTLbase approach AI content creation in 2026, combined with SEO, Generative Engine Optimization (GEO) and human expertise, and which lessons we've learnt from our cases for companies in different sectors. Curious which sectors we already operate in? View them here.
AI content creation is the process of using generative AI tools such as ChatGPT, Claude and Gemini to produce content: blog articles, product descriptions, landing pages, emails or social posts. Sounds simple, and that's exactly the problem. The barrier to creating content has dropped almost to zero. Anyone can have an article generated in ten minutes. The result: an explosion of generic content that Google and AI search engines are hitting back at harder and harder.
Since Google's helpful content updates and the rise of AI Overviews, content that has clearly been written by AI without any human input is increasingly filtered out or no longer cited. The same goes for ChatGPT, Perplexity and Claude, which need human expertise signals to see something as a reliable source.
The classic SEO checklist (page title, meta description, alt tags, internal links, canonical tags, schema markup) has become a commodity in 2026. Every CMS has it as standard, every marketer knows about it, every AI tool applies it automatically. It's a hygiene factor: you must have it in order, but it no longer gives you a competitive edge.
What does set you apart in 2026:
At DGTLbase, we don't use AI to produce content, but to accelerate it. The difference lies in who's in charge. An AI tool can produce a first draft in seconds, but the strategy, the angle, the data and the expertise come from people who know the trade. That's what separates a blog by a marketer from a blog by an AI bot that has just been told to write “something about SaaS marketing”.
In practice, we work in four steps:
Before we generate a single letter, we map out where the real opportunities lie. Which search terms are our competitors ranking for? What questions are customers asking ChatGPT and Perplexity about this sector? Where's the gap between what's being asked and what's being answered? When ICON Amsterdam, a fast-growing European fashion brand, came to us, almost all their revenue depended on paid advertising channels. The question: can you generate organic revenue within one month? That ambitious deadline forced us to put everything into strategy and not waste time on generic content.
One good blog no longer ranks on its own these days. A network of interconnected content around a main topic does. At ICON Amsterdam, we combined targeted SEO optimisations with commercial content around their core products and collections. Within three months, organic revenue had grown significantly and their dependence on paid advertising had noticeably fallen. The lesson: content that's directly linked to commercial intent performs better than content that's disconnected from what customers actually search for and buy.
Once the strategy is in place, we use AI to write faster, generate variants and summarise sources. But every draft goes past a specialist who knows the sector and the brand. They add what AI can't: cases from their own experience, contrarian opinions, concrete figures and sector-specific nuances. At Curlygirlmovement, we used that same data-driven approach: through in-depth audience analysis and targeted targeting of women with curly hair, we achieved 67% growth in sales and a 175% increase in conversion rate. Data depth before content production makes the difference between noise and results, whether it's SEA or content marketing.
This is what it's really about in 2026. Alongside traditional SEO, we also optimise content for Generative Engine Optimization: visibility in ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews. That calls for clear definitions, structured answers, original data and clear expertise signals that language models can extract and cite. Because if your audience asks ChatGPT their question instead of Google, you want to be in that answer. Not below it, in the answer itself. Read more about how we use Generative Engine Optimization.
Good content is no longer content that ranks high. It's content that's recommended by Google, by ChatGPT, by Perplexity, and ultimately by your audience itself. That calls for an approach in which AI and human expertise strengthen each other instead of replacing each other. AI delivers speed and scale; people deliver strategy, originality and authority.
At DGTLbase, we've been combining these layers for years in our SEO and content projects, and since 2024 actively in our GEO approach. You can see the result in cases such as ICON Amsterdam and Curlygirlmovement: not content that disappears in the crowd, but content strategies that deliver measurable growth; in Google and in the AI answers your audience now reads instead of classic search results. Curious which case studies we've done in your sector? Read them here.
Request a baseline assessment from DGTLbase. We map out where you stand now in both Google and AI search engines, and show which content strategy delivers the most impact for your sector. Get in touch with us here!
Can AI write content that really fits my brand?
Yes, but not without direction. By default, AI tools write in a neutral, generic style. To make content really fit your brand, you need clear guidelines on tone of voice, audience, message and sector context. With good prompts, brand documentation and human editing, AI produces content that sounds as if your own team wrote it.
Does AI actually save time in content marketing?
Yes, provided you use AI in the right place. AI mainly saves time on first drafts, research, generating variants, summarising and rewriting. What AI doesn't speed up: strategy, original angles and final editing. In practice, a good AI workflow saves 40 to 60% of the time per piece of content without the quality suffering, provided a human stays in charge.
How does AI strengthen human creativity?
AI strengthens creativity by quickly generating variants, angles and ideas you wouldn't otherwise have come up with. It works as a sparring partner: you can brainstorm at lightning speed, test structures and explore perspectives. Creative direction stays with the human, but AI lowers the barrier to developing ideas and helps you look beyond your own thinking patterns.
Which types of content are best made with AI?
AI is especially strong at content with a clear structure and repeatable patterns: blog articles, product descriptions, FAQs, emails, social posts and summaries. For in-depth thought leadership, original research or brand stories, human input remains essential. You get the best results by using AI for scale and speed, and people for strategy, expertise and final editing.
