Lizzy Prins, a visionary futurist and AI innovator, is dedicated to bridging technology and a people-first approach to drive sustainable change within organizations. With over ten years of experience in AI, robotics, and automation, and a background as a former HR director, Lizzy understands better than anyone the need for digital transformation to ensure future-proof business operations. Her mission? To make work more enjoyable, smarter, and more valuable through technology that enhances human talents and opens up new possibilities.

Lizzy brings a practical, results-driven approach that goes beyond theory. She develops change strategies that can be implemented quickly and have an immediate impact. Through her inspirational sessions, workshops, and in-depth knowledge of AI, she empowers leaders and teams to stay ahead of the competition and take meaningful steps toward digital transformation and innovation.

With her passion and expertise, Lizzy is a leading authority in her field and an essential member of the AI Awards jury. Her experience and keen eye for valuable AI applications make her a key voice in evaluating the most promising AI projects and leaders in the field.

Tom Bos is an influential pioneer and expert in the field of technology and learning, whose career is entirely dedicated to creating effective and innovative learning resources. As the founder and CEO of SkillsTown Group, one of Europe’s largest online training providers, he has had a significant impact on the educational landscape. SkillsTown is not only a platform that inspires people worldwide to learn, but also a breeding ground for technological innovation in education.

Tom has summarized his insights and experiences in his book *The Old-Fashioned Future of Education*, in which he explores the convergence of technology and education. He is known for his ability to use technological tools as a lever to make learning more accessible and effective. With the introduction of artificial intelligence into SkillsTown’s services as early as 2017, and later into its training offerings, Tom has developed groundbreaking AI applications that are transforming the educational experience.

In addition, Tom is the driving force behind the National AI Debate, through which he fosters critical discussions about the role and impact of AI in society. His critical yet optimistic approach to AI underscores his vision of technology as an essential tool for educational and social progress. Tom Bos is not only a pioneer in the use of AI in education but also a visionary who is constantly shaping and innovating the future of learning. This makes him an outstanding judge for the AI Awards, where his expertise and experience are indispensable in evaluating the latest innovations in the field of artificial intelligence.

AI is changing not only technology, but above all the way people work, collaborate, and lead. Wout Plevier is one of the experts who approaches this transformation from the perspective of the people behind the work. He specializes in what AI means for employees, teams, and leadership, and how organizations can guide this change in a healthy, effective way.

As the founder of Innerspective, Wout has more than 25 years of experience in leadership, organizational development, and behavioral change. He is frequently sought out by CEOs, executive boards, and management teams to support them with strategic issues related to work, culture, and the impact of technological innovation. His strength lies in bridging the gap between vision and practice: how to get people on board, how to maintain a sense of ownership, and how to ensure that technology enhances work rather than alienates employees.

Wout is known for his sharp insights, calm demeanor, and depth of thought. He looks beyond the hype and focuses on sustainable change, ensuring that employees feel valued and organizations become future-proof. As a judge for the National AI Awards, he brings an essential perspective to the table: not just what AI can do, but above all, how AI affects people and work.

We hear it everywhere: “AI is going to automate 80% of your work!” Sounds like a dream. But if that’s the case, why does your workday still feel like a sprint with no finish line?

The harsh truth: most AI solutions aren't designed to actually save you time.

The root of the problem is a simple misunderstanding:

We believe the future of AI is all about tools. The future of AI is all about colleagues.

Let’s distinguish between the three generations of AI in the workplace.

1. The AI Assistant:

This AI can rewrite an email, create a summary, or draft a document. Handy!

• Impact: You work 10–15% faster.
• The Reality: You save minutes, not hours.

2. In-app AI:

Smart AI built into your CRM or HR tool. But… that AI is locked into a single system.

Our work actually takes place right between those systems. It is there, in those moments of transition, that time slips away.

• Impact: Another 10–15% increase in speed in a single silo.
• The reality: You’re not shifting the task. You’re just getting it done more smoothly.

3. The Digital Employee

This is the breakthrough. A Digital Employee isn’t just a tool—it’s a colleague who works across your entire process:

✅ Prepares work and completes it.

✅ Performs tasks from start to finish.

✅ Works with all systems and is constantly learning.

For the first time, work isn't being accelerated, but rather shifted. You're transferring an entirely repetitive process, from start to finish.

• Impact: 40–80% time savings on automated processes.

The big difference

The first generation of AI helped you. The second worked for you. The third generation—Digital Co-workers—works with you.

This isn’t a sprint, but an evolution. Today, they’re taking over the tedious, repetitive work. This allows people to get back to doing what they were hired to do:

Creativity, strategy, or personal customer interaction.

The Digital Assistant takes care of the rest.

We are on the cusp of a shift as significant as the introduction of the internet. We don’t yet fully grasp its impact, but we sense that it will be monumental.

Finally, here’s a question to test yourself:

Imagine that tomorrow you could delegate one recurring task. Which one would you let go of first?

Every organization feels the pressure to do something with AI. The technology is all over the news, and expectations are sky-high. Yet a recent MIT study reveals a painful reality: 95 percent of AI pilot projects fail to deliver measurable results. So simply starting out with enthusiasm isn’t enough.

Why do so many AI pilot projects fail?

The main reason is that organizations approach AI as if it were a sprint. They rush to launch a pilot project just to jump on the bandwagon, but without a clear vision, without structural integration, and without realistic expectations. The result? Disappointment, frustration, and a lot of wasted effort.

At AIMAZE, we see this happen regularly. Clients come to us with expectations that aren’t feasible in the short term. Sometimes we know this in advance and are honest about the fact that certain expectations aren’t realistic (yet). Occasionally, we only realize this during the process, when the desired results become more concrete. We address it then as well. Transparency is crucial, precisely because our goal is for clients to be part of that successful 5 percent.

AI requires patience and vision

Implementing AI isn’t a sprint for quick wins, but a marathon that requires stamina, collaboration, and course corrections along the way. Success comes step by step, by working from a clear strategy and by aligning AI with specific organizational goals.

The reward is great

The great thing is: once the results start coming in—and sometimes surprisingly quickly—they are incredibly valuable. Organizations achieve significant cost savings, quality improvements, or new service offerings. And the investment required to achieve this often pales in comparison to the returns it generates.

Conclusion

AI isn’t a sprint—it’s a marathon. Those who prepare thoughtfully, maintain the right pace, and map out the route with a clear vision will reap results that make their organization future-proof. At AIMAZE, we believe that AI only has a real impact when it’s implemented sustainably. That’s why we’re honest, critical, and always work with one goal in mind: ensuring our clients are among that successful 5 percent.

Every month, it seems like a new acronym pops up in the marketing world. SEO, GEO, AEO, LLMO, AI Visibility… Before you know it, you can’t see the forest for the trees. But what do these terms really mean, and—more importantly—what do you need to do to survive in a world where AI assistants are increasingly taking Google’s place?

From Google Links to AI Answers: The Big Shift

For years, Search Engine Optimization (SEO) was the undisputed king of online marketing. You wrote compelling content, built backlinks, and ensured flawless technical performance, and voilà: your site appeared at the top of the search results. This foundation is still crucial, but it’s no longer enough.

The rise of AI-driven platforms like ChatGPT, Gemini, Perplexity, and Claude is changing everything. These “answer machines” don’t provide a list of links, but rather direct, summarized answers. Gaining visibility in this AI-driven world requires a completely new approach. And that’s how all those new acronyms came about:

• GEO (Generative Engine Optimization): Optimizing for AI that generates answers.
• AEO (Answer Engine Optimization): Getting your content to appear in direct answers.
• LLMO (Large Language Model Optimization): Optimizing specifically for the models that power AI.
• AI Visibility Optimization: The umbrella term for everything related to discoverability in AI.

In short, all these terms boil down to one common question: how do you ensure that AI understands, references, and trusts your content? And that’s the crux of the matter. While SEO focuses on rankings, GEO focuses on winning the trust of a machine.

How to Stand Out in AI Responses: The 4 Key Steps

This may sound abstract, but in practice it’s very concrete. Many companies know that AI is becoming important, but aren’t sure what to do. Here are the four most important steps to building a strong foundation for your AI presence.

1. From keywords to clear answers

AI models aren’t “keyword hunters” like Google used to be. They look for clear, structured, and factual information. So make sure your content is scannable not only by people, but also by AI:

• Use clear headings: Think in terms of a question-and-answer structure. For example: ## What is GEO?
• Use short paragraphs and bullet points: Clearly organized information is easier to process.
• Add FAQs: AI models are trained on question-and-answer dialogues. This is an easy way to make your content “AI-friendly.”

2. Be the most reliable source

AI is extremely cautious about spreading misinformation. Your content must not only be informative, but also completely reliable.

• Verifiability is essential: Always include sources, figures, data, and concrete examples.
• Build credibility: Create a strong backlink profile and clearly state who the author is and which organization they work for. These are factors that AI models take into account when assessing your credibility.
• Become an expert on niche websites: Articles and listings on multiple niche websites greatly increase the likelihood that AI will consider your content to be reliable and relevant.

3. Post consistently and stay up to date

AI models often prioritize the most recent and relevant information. It’s not enough to write a single good blog post; you need to create a steady stream of valuable content. Companies that publish regularly significantly increase their chances of being cited.

4. Measure your AI visibility

How do you know if your efforts are paying off? This is one of the biggest challenges. There isn’t a good “AI Ranking” tool available yet, so you’ll have to do some detective work yourself:

• Try it yourself: Go to ChatGPT, Gemini, or Perplexity and ask for information about your field. Is your organization mentioned? Are parts of your website quoted?
• Track what works: Analyze which content is performing well and further optimize it to strengthen your authority on that topic.

SEO + GEO: The Smart Strategy

It’s not a question of either SEO or GEO. It’s about a smart combination.

By writing your content for both traditional search engines (SEO) and generative AI (GEO), you ensure that you’re visible on all platforms.

The challenge: This isn't a part-time job

This all sounds logical, but the reality is complex. It takes a tremendous amount of time and expertise to stay up to date on the latest AI developments, optimize your content, and measure the results. For many companies, this is simply not feasible. You can try doing it yourself, hire an expensive agency, or opt for a smarter, more affordable solution.

The Digital Marketing Specialist at AIMAZE

Imagine you have a colleague who:

• Fully trained in SEO, GEO, AEO, LLMO, and AI Visibility Optimization.
• Works directly with your team, without the high costs of an outside agency.
• Always up to date on the latest AI developments.
• Not only does it develop the strategy, but it also produces and publishes the content.
• Gives you access to various relevant niche sites, which exponentially boosts your authority and visibility.

That is exactly what AIMAZE’s Digital Marketing Specialist offers: a comprehensive, affordable, and professional solution to tackle all the challenges of AI visibility.

Conclusion

There are a lot of new terms and acronyms, but the message is clear: SEO is your foundation, GEO and the like are your future. Together, they hold the key to success in the world of AI. If you want to tackle these challenges professionally, consistently, and affordably, there’s no better choice than a Digital Marketing Specialist from AIMAZE. Fully trained in the latest concepts, ready to join your team as a colleague and boost your visibility.

Do you remember when browsing the internet was all about clicking on blue links? It feels like a decade ago, because the way people find information online is changing drastically. The rise of generative AI, such as ChatGPT and Gemini, means that users are increasingly getting direct answers to their questions without even having to visit a website.

This isn’t just a minor change. It’s a seismic shift in the world of online visibility. And if you don’t adapt, you run the risk of your website becoming invisible.

From SEO to G.E.O.

For a long time, Search Engine Optimization (SEO) was the gold standard. The goal was to optimize your website so that it appeared as high as possible in search results. The aim was to reach the top of that coveted list of blue links.

But this new reality calls for a new approach: Generative Engine Optimization (G.E.O.). G.E.O. isn’t about ranking number one; it’s about becoming a cited source. Your goal is to make your content so authoritative and valuable that AI models themselves reference your website when providing an answer.

The power of SEO is now the “entry ticket”

Does the rise of G.E.O. spell the end of SEO? Absolutely not. Many of the factors that have traditionally been important for SEO are now the essential building blocks of G.E.O. They are the fundamental quality signals that AI models use to determine whether your website is trustworthy enough. You can think of it as the entry fee to the new online playing field. Without a solid SEO foundation, you simply can’t win the G.E.O. game.

Timeless SEO principles are more important now than ever. They build the trust that both people and AI models need. Here they are:

• High-quality content: Build a comprehensive body of content within your field.

• Authority (E-E-A-T): Demonstrate your Expertise, Experience, Authority, and Trustworthiness.

• Technical SEO: Make sure your website is fast, secure, and easy to crawl.

• Smart links: Use internal and external links to boost the credibility of your content.

Creating AI-friendly content

G.E.O. is all about creating content that AI models love. Research shows that there is one type of content that is cited most often: comparative lists. Think of articles like “this vs. that” or “the top 5 ways to…”. The structured and straightforward nature of this content is perfect for AI systems.

A few tips for creating AI-friendly content:

• Provide direct answers to specific questions.

• Use natural, conversational language, without jargon.

• Organize your content with clear headings and lists.

• Use schema markup to help search engines understand the structure of your content.

• Ensure factual accuracy and cite reliable sources.

The New Playing Field: Quality Over Quantity

One major consequence of this shift is that you’ll likely see a drop in the number of clicks. After all, people are getting the answer directly from the AI. But the clicks you do receive will be of much higher quality. The visitor already has the answer and is now clicking through to your website to determine whether you are the provider of the service or product. Your website becomes the place where the decision is made—the moment when the potential customer puts your expertise and reliability to the test.

Success isn’t a choice between SEO and GEO. It’s an integrated strategy that combines both. You need SEO to convince AI models of your website’s quality, and you need GEO to actually become the source they cite.

So, your website is now officially a source of information for the most powerful learning systems in the world. The only question that remains is: what are you going to teach them?