AI tools are already conducting sales conversations about your company. You are not in the room. They were never onboarded, have no approved script, and may know only part of your business. Yet they can influence whether your company is researched, shortlisted or quietly removed from consideration.

That should concern every Jamaican and Caribbean business leader.

A customer can now ask ChatGPT, Gemini, Claude, Perplexity, Copilot, or Google a detailed question such as:

“I need a reliable dentist in Kingston who is good with nervous patients, offers Saturday appointments and has transparent pricing. Which practices should I consider, and why?”

Within seconds, AI can identify providers, compare their services, summarise reviews, explain perceived strengths and weaknesses, answer follow-up questions and recommend a shortlist. The customer may form an opinion about several businesses without visiting their websites or speaking to anyone from those companies.

This does not mean that people have stopped searching or that websites no longer matter. Search is expanding and changing shape.

Instead of entering two or three keywords and reviewing a page of links, people are asking longer, more specific questions and receiving synthesised answers. Search now happens across traditional search engines, AI applications, browsers, operating systems and other digital tools.

Google reported in June 2026 that AI Overviews had surpassed 2.5 billion monthly users, while AI Mode had exceeded one billion. Google also said people using its generative search features were searching more often and asking new kinds of questions.

The number of searches can, therefore, grow while the need to visit individual websites declines for some enquiries. A Pew Research Center study of the browsing behaviour of 900 US adults found that users clicked a traditional search result during eight per cent of visits when an AI summary appeared, compared with 15 per cent when no summary appeared.

The website still matters because it remains one of the clearest information sources a business controls. It should serve as the brand’s source of truth and provide evidence that AI tools and potential customers can verify.

Your digital footprint is now an AI briefing document.

Depending on the tool, an answer may draw on live web searches, information already contained in the model or a combination of both. Clear public information improves the evidence available, but it cannot guarantee that a company will appear or be recommended.

That briefing may include your website, product pages, leadership profiles, LinkedIn content, YouTube transcripts, reviews, media coverage, directories, public documents, and third-party mentions. AI systems use the credible information available to determine what your company does, who it serves and whether it appears relevant to a customer’s request.

If your information is outdated, inconsistent or difficult to verify, AI has less reason to represent the business confidently. If a competitor provides clearer service details, stronger reviews and more credible evidence, that competitor is much easier to recommend.

This is especially important in the Caribbean, where many established businesses still rely heavily on Facebook and
Instagram pages, WhatsApp numbers and word of mouth. Their websites may be outdated (if they have one at all), static with no content being produced on their website, their opening hours inconsistent across platforms and their expertise poorly documented. The business may be excellent in the physical world while appearing uncertain in the digital one.

Customer behaviour was already moving in this direction before generative AI became mainstream. A Gartner survey of 646 B2B buyers found that 67 per cent preferred a sales representative-free experience and 45 per cent had used AI during a recent purchase.

That does not make sales representatives obsolete. Gartner subsequently found that 69 per cent of B2B buyers preferred to validate AI-generated insights with a representative. AI is changing when salespeople enter the process and what buyers expect from them, rather than eliminating the human role.

Research from 6sense found that the winning vendor was already on the buyer’s first-day shortlist 95 percent of the time.

AI did not create the entire pattern, but it is accelerating the customer’s ability to research independently. By the time a company receives an enquiry, the buyer has already defined the problem, compared providers, developed a favourite and prepared objections.

This creates a new responsibility for marketing teams.

Companies will quickly say they do not have the budget to respond. In many cases, they are already spending on employees, agencies, advertising, content, software, public relations and website services. The deeper issue is that much of this spending supports a marketing structure designed for the previous Internet.

Marketing teams must understand what customers are asking, keep company information accurate, produce useful content, manage online reputation and connect that work to enquiries and sales.

I understand the pressure personally. As a solopreneur operating Digipreneur, I work across consulting, implementation, university lecturing, television, radio, newspaper columns, podcasting, blogging, and social media.

My education in digital marketing began with building Droid Island. I needed customers to discover the business organically, so I learned how to rank on Google before I even knew SEO was an industry. I learned the difference between content that attracts social engagement and content that captures search demand. Sales was the metric that connected everything.

That discipline started at Telus when I was 19 and developed further at Apple. In technology sales, outdated product knowledge affected your performance. Today, the same principle applies to my business. If I do not understand how discovery is changing, I lose relevance. If I do not stay ahead of the curve, I do not eat.

Businesses cannot directly retrain public AI models through ordinary publishing. “Training the AI” means improving the information environment from which these systems construct their answers.

Start with a simple exercise. Ask two or three AI tools to explain your company, compare it with competitors and decide whether it should be shortlisted for a specific customer need. Examine the facts, sources, omissions and objections in each answer.

Then ask the most commercially important question:

“If a customer asked an AI system about my company, would it appear in the answer? If it did, would the available evidence support choosing it over its competitors?”

AI is already representing your company without your supervision. Your responsibility is to build the information, evidence, authority, and digital infrastructure that give it something accurate and credible to say.

Keron Rose is a Caribbean digital strategist and digital nomad based in Thailand. He helps entrepreneurs build, monetise, and scale their digital presence while accessing global opportunities. Visit keronrose.com to learn more about the digital world.