
Is Going Fully Digital the Future of Caribbean Citizenship by Investment?

22 May 2026
A significant part of my role at La Vida sits at the intersection of digital strategy and visibility – website, SEO, content, and increasingly, making sure La Vida is being correctly and fairly represented within AI language models. That last part is newer territory for most marketing teams, but in our sector it matters enormously. Because people are now using tools like ChatGPT and Google’s AI Mode to make genuinely life-changing decisions – and some of the sources those tools are drawing on should alarm anyone paying close attention.
The mechanics are reasonably well understood in the industry by now. These models crawl a company’s entire digital footprint: the website, LinkedIn presence, press mentions, affiliations, online reviews, press releases. In theory, a well-established firm with a strong, credible online presence should surface well. And that part is fine.
What’s not fine is this: they are also drawing from a very broad range of online sources, including discussion forums, social communities and user-generated content (commonly Reddit and Facebook). In some cases these sources are being used as reference points despite offering little visibility into the experience, qualifications or context behind the opinions being shared.
I’ve spent a meaningful amount of time over the past year interrogating how these outputs are formed, and the results have been, at times, genuinely startling. Type “which company should I use for residency by investment?” into an AI chatbot and it may confidently return an answer that is, at its foundation, built on two comments from a Facebook group posted a year ago. By people nobody can verify. With no credentials, no track record, and no accountability whatsoever for the advice they’re casually dispensing.
When we ran our own research across several leading LLMs, many of the responses were actually quite reasonable – citing credible companies, including La Vida, alongside other well-regarded advisory firms and immigration lawyers with genuine track records. That was encouraging to see. But what was also consistently present, and what I cannot overlook, was a concerning number of responses where AI recommendations appeared to be influenced by random social media discussions that carried little indication of expertise, credentials or direct experience. Even when those same companies had years of verifiable Google reviews and substantial, credible media coverage sitting right there in the public domain. The AI tools were reaching for the noisiest source, not the most credible one. And that distinction matters enormously when the stakes are this high.
Yes – but with significant caveats.
I am by no means a technophobe. In fact, I consider myself a pretty tech-savvy individual and have been a huge advocate of AI from its inception. But as time goes on I am seeing first-hand how so many people have become fully reliant on it, taking its answers as gospel – and often being far too trusting of it. I have witnessed AI make significant mistakes when questioned on technical topics such as tax. As humans, we must stay alert and we must question its answers. Every time.
AI can be a useful starting point when researching your RCBI offerings, a way to understand which Golden Visa programs exist, what the general investment thresholds look like, or which countries are currently offering residency pathways.
For orientation, it has genuine value.
I’m not against forums and community discussions either, for that matter. If you want to know which running shoes will hold up on a half marathon, or where to eat in Barcelona in July, a thread of lived experience from real people is genuinely useful. The crowd has wisdom in those contexts. No harm done if someone steers you to the wrong tapas bar!
But we are talking about Golden Visa programs. Residency by investment and citizenship. Major life decisions involving hundreds of thousands of pounds of your hard-earned money, your family’s future, your tax residency, your legal standing in another country. These are not decisions in the same category as holiday restaurant picks. The danger is when people move from orientation to decision without ever leaving the chatbot – when an AI response, however polished and confident it sounds, becomes the basis for a financial commitment of that magnitude. That is a categorically different kind of decision, and it demands a categorically different kind of source.
The high-net-worth individuals who are the primary audience for Golden Visa and citizenship by investment programs are, almost by definition, extremely busy people. From my 13 years working in this industry I can guaranteed most of our clients aren’t personally commenting on Reddit at 11pm – they often have lawyers, wealth managers, and personal assistants who handle the initial research and application on their behalf. The likelihood that the primary applicant themselves ever wrote a comment in an “Expats in Estepona” Facebook group is, frankly, close to zero.
The difficulty with many online discussions is that contributors are often anonymous or impossible to verify. There may be no indication of their experience, whether they completed a program themselves, or whether they have any professional understanding of the subject matter at all.
That doesn’t automatically make these viewpoints wrong. But it can make it difficult to assess how much weight should reasonably be placed on them when making major decisions. Remember that – digital platforms often reward engagement and visibility, but those qualities should not automatically be confused with expertise.
Anyone can post a comment on a social forums and there is no filter, no qualification and often no consequence for being wrong.
We instinctively understand this in most areas of life:
If you had a toothache, you would ring your dentist – not turn to Reddit for help.
If you were facing a legal dispute, you would instruct a solicitor, not post in a random Facebook group and see what comes back.
The same principle applies when selecting an investment migration advisor or making decisions involving significant financial and family considerations.
Rather than asking an LLM to make the decision for you, use it to sharpen your own thinking. There are genuinely useful questions you can put to these tools:
That last one is the right question – because it moves from asking the AI who to trust, to asking it how to evaluate who to trust. There’s an important difference. Use AI to build your framework. Then apply that framework to real, verifiable sources.
And let’s not forget – a good old fashioned phone call to any prospective company can often give you a clear idea in a matter of minutes of the type of service you can expect. Here at La Vida we very much welcome to pick up the phone and speak with our team in person.
Here at La Vida, we’ve thought long and hard about this exact problem. Which is partly what led us to build Einstein – our own in-house AI chatbot, and one we’re genuinely proud of.
Einstein isn’t drawing on the open internet. He isn’t indexing Reddit threads or surfacing a random social media comment. He is trained exclusively on verified, up-to-date program data from La Vida’s own internal website and database – the same information our advisors work with every single day. Every answer he gives is grounded in facts we can stand behind.
We put him to the test. Our marketing team benchmarked Einstein against several leading LLMs across 10 program-specific questions – covering eligibility criteria, investment thresholds, processing timelines, and residency requirements. Einstein came out on top with a score of 37/40, well ahead of Perplexity (33/40), Google AI Mode (29/40), and Chat GPT Free (11/40). In a number of instances, his responses were far more precise than those produced by the general-purpose models, because he wasn’t hedging across conflicting sources or defaulting to outdated forum commentary. He was working from a single, curated, authoritative source of truth.
It’s worth noting that Einstein still runs on the same underlying LLM infrastructure (such as ChatGPT or Claude) – so we get all the capability and intelligence that comes with that – but fine-tuned to focus exclusively on our data. He’s not perfect, and we’re continually refining him, but the results speak for themselves.
That is what responsible AI looks like in this context. Not a tool that casts the widest possible net and hopes for the best, but one that knows exactly what it knows, knows where that knowledge comes from, and doesn’t pretend otherwise.
Einstein is there to help you understand the programs – the facts, the figures, the requirements. What he won’t do is replace the conversation you need to have with a human expert who can understand your specific circumstances, your goals, and your timeline. That part still matters. That part will always matter.
When it comes to actually vetting a firm, here’s what carries weight, and what doesn’t.
Google Reviews are a far more credible signal than forum comments. They are tied to real accounts, they are publicly visible, and reputable firms with track records will have a body of them built over years – not a handful of posts from anonymous usernames on a closed Facebook group. Look for volume, consistency, and specificity. A review that describes someone’s actual experience in detail is worth infinitely more than a one-line comment on a thread titled “Moving to Málaga – can anyone recommend anyone?”
Look also for media presence. Has the firm been quoted in credible publications? Have they won any awards? Do their advisors contribute expert commentary to recognised outlets? Is there a body of published work – guides, legal updates, expert insights, program analysis – that demonstrates genuine, sustained expertise? That kind of footprint takes years to build and is very hard to fake.
Affiliations and memberships matter too. Is the firm a member of recognised industry bodies, such as the IMC? Do they hold relevant accreditations? These aren’t guarantees, but they are meaningful indicators of a business that operates with professional accountability.
A company with a long-established reputation will typically leave a consistent footprint over time across multiple channels rather than relying on any single source alone.
Before you engage any advisory firm for a Golden Visa or citizenship by investment program, these are the good old fashioned questions worth asking – directly, not via a chatbot:
Residency and citizenship by investment is a specialist and niche field. The advisors who do this well have spent years – often decades – building relationships with government bodies, understanding the legal nuances, and guiding clients through processes that are rarely straightforward. That depth of knowledge simply cannot be replicated by an AI model indexing a two-year-old Reddit thread.
Use AI to orientate yourself. Use it to build your questions. If you want program-specific facts you can trust, ask La Vida’s AI – Einstein. Then pick up the phone and speak to someone whose professional reputation is on the line every single time they give a recommendation. Someone who will still be accountable to you in twelve months.
AI can be a powerful tool when used appropriately. It can help you understand programs, build questions and accelerate research.
But major decisions still benefit from human expertise, context and accountability and this is why we encourage anyone investigating which firm to use, to simply get in touch and speak with our friendly team in person.

Lizzie Edwards, Head of Marketing
This insight article is written by Lizzie, Head of Marketing at La Vida. Having grown alongside the business since 2013, Lizzie began her journey at La Vida as a an advisor before transitioning into marketing, where she developed a passion for brand strategy, client engagement, and global audience growth. Today, she leads company-wide marketing strategy, helping position La Vida as a leading name in the investment migration industry. Prior to joining La Vida, Lizzie built experience in both banking and recruitment, bringing a strong commercial mindset and people-focused approach to her work.

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