AI systems and large language models are already conducting sales conversations about your company.
You are not in the room. The AI was never onboarded, has no approved script and may possess an incomplete understanding of your business. Yet it can influence whether your company is investigated, shortlisted or quietly removed from consideration.
That should concern every Trinidadian and Caribbean business leader.
The customer conversation you never see
A customer can now ask ChatGPT, Gemini, Claude, Perplexity, Copilot or Google a detailed question such as:
“I need a reliable dentist in Port of Spain 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.
The business is participating in a detailed sales conversation without seeing the customer, hearing the question or knowing which competitors are being considered.
Search has changed shape
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 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 there was no summary.
The website still matters. In many ways, it has become even more important because it should function as the primary source of truth for the business or brand. It is part of the evidence AI uses to construct an answer.
Your digital footprint is the AI briefing document
Your digital footprint 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, where it operates and whether it is 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 becomes much easier to recommend.
This is especially important in T&T and across 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. Many are static, with no useful content being published. Opening hours may be inconsistent across platforms, services may be poorly explained and years of valuable expertise may remain undocumented.
The business may be excellent in the physical world while appearing uncertain in the digital one.
Buyers are forming opinions before contact
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.
Research from 6sense found that the winning vendor was already on the buyer’s first-day shortlist 95 per cent of the time.
AI did not create this entire pattern, but it is accelerating the customer’s ability to research independently. By the time a company receives an enquiry, the buyer may have already defined the problem, compared providers, developed a favourite and prepared objections.
The company receives the lead near the end of a decision process that may have started inside an AI conversation.
Marketing teams were built for the previous internet
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 money 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.
Modern marketing capability must connect customer intelligence, search engine optimisation, Answer Engine Optimisation, content architecture, digital authority, reputation, analytics, customer relationship management, automation and commercial measurement.
The same employees may remain, but their skills, workflows and responsibilities must evolve.
This is less about adding one more marketing task and more about rebuilding the company’s marketing capability for the way customers now discover, evaluate and choose businesses.
Why this is personal for Me
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 nineteen 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.
What “Training the AI” actually means
Businesses cannot directly retrain public AI models through ordinary publishing.
When I speak about “training the AI”, I mean deliberately improving the information environment from which these systems construct their answers.
That requires a clear source of truth, useful website content, consistent business information, credible reviews, third-party authority, documented expertise and current service details.
It also requires content that answers the detailed questions customers are now asking.
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. Different AI tools may produce different results because they use different models, sources and retrieval systems.
The question every business should ask
Then ask the most commercially important question:
“If a customer asked an AI system why they should choose my company, would AI find enough credible information to cite my business and recommend it over my 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, credible and commercially useful 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.
