CEO's POV: Don’t Try to Fool AI. Become the Right Answer

Hello everyone. Today, I would like to share my thoughts on a topic that is currently on everyone's mind: Artificial Intelligence.

Over the past year, I must admit that the subject of AI was starting to give me a bit of a headache. I was constantly hearing the same narrative: AI is going to alter the entire industry, and a company of Globevisa’s size risks being outpaced if we do not adapt immediately. I took this seriously. I spent a considerable amount of time learning how AI functions, even attempting to teach myself some coding along the way.

Today, however, I am happy to report that I have reached a very peaceful understanding with AI. I want to share the practical, long-term strategy we have adopted at Globevisa, which focuses on two main areas: Operations and Marketing.

Operations: Focusing on Foundational Data Collection

When it comes to internal operations, our AI strategy is not particularly complicated. We are not focusing on obscure technical models; instead, we are focusing on data collection.

AI is currently a very popular topic, but its effectiveness relies entirely on the information it is given. My primary instruction to the team at Globevisa today is simple: record everything. Whether a consultant has a meeting with a client or a discussion with a program provider, they need to write a detailed memo and log that information into our internal system. I likely repeat this instruction hundreds of times a day.

Currently, data collection is our most important AI-related task. Once you have comprehensive, accurate data, it is quite easy to use AI tools to clean that data, identify business opportunities, train staff, and conduct performance reviews. However, AI cannot conduct the initial data collection for you; that requires human discipline. This will remain our primary operational focus for the foreseeable future.

Marketing: Preparing for Answer Engines

Our marketing strategy for AI is divided into two specific actions: technical restructuring and becoming the factual "right answer."

Technical Restructuring for AI Readability

Historically, marketing relied heavily on visual formats. A company might place all of its key information into a single image on a website. However, you cannot expect an AI system to accurately read and process text embedded within an image.

Recently, we have spent months systematically restructuring our database and marketing materials. We are converting our content into structured, text-based formats that are "AI-friendly," ensuring that language models can easily read and understand our firm's information.

The Strategy of Being the "Right Answer"

This brings me to our second, and most interesting, marketing focus.

During the standard search engine era, marketing involved promoting specific keywords so your website would appear in a list of links. In the AI era, users ask complete questions or "key sentences."

There is a growing trend of companies trying to manipulate these AI responses using short-term tactics—often referred to as Generative Engine Optimization (GEO). Some try to fool the AI into mentioning their name by purchasing rankings or placing hidden text. I view this as an ineffective approach. You cannot fool an AI system in the long term.

If you want an AI to mention your company when a user asks a question, there is only one sustainable strategy: your company must actually be the correct answer to that question.

For example, if a client asks an AI, "Which firm processes the most US EB-5 applications?" or "Who is the most reliable firm for European Golden Visas?", our goal is for the AI to state "Globevisa."

To achieve this, we do not trick the system. We prove it logically, statistically, and scientifically. We ensure that factual data, verifiable case volumes, and genuine client reviews across platforms like Trustpilot and Yelp are accurately published online. If an AI provides an incorrect answer regarding market share or office locations, we analyze the discrepancy and feed the correct, verifiable data into the public domain so the system can correct itself.

Conclusion

Our AI strategy at Globevisa is built on reality, not trends. For operations, we are strictly focused on human data collection so AI tools can process it efficiently. For marketing, we ensure our data is readable, and we focus on being the factual, undeniable answer to the questions our clients ask.

Thank you for reading, and I look forward to sharing more updates with you soon.