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How to get your business recommended by AI
Business
May 20, 2026

How to get your business recommended by AI

For years, businesses competed to rank on Google. The goal was simple: Show up on page one, get the click, win the customer.

That race has not ended. It has been joined by a new one, and most businesses have not realised they are already falling behind.

Customers are no longer just typing keywords into a search bar. They are asking Artificial Intelligence (AI). They are opening ChatGPT, Gemini, Claude, and Perplexity and asking full questions: What accounting software should I use for my small business? Who is the best event caterer in Trinidad? What should I look for before buying property in Jamaica?

AI answers those questions. It recommends specific businesses, explains options, and in some cases — with integrations like Shopify inside ChatGPT already live — completes the transaction. The customer doesn’t need to visit a search results page. They may never visit your website at all.

If your business is not part of that AI answer, you were never considered.

 

The Customer Journey Has Quietly Rewired Itself

The old buying journey followed a familiar path: Search, click, browse, decide. Multiple businesses had a chance to compete for attention across a list of results.

The new path is shorter and far less forgiving: question, AI answer, decision.

According to recent data from Yahoo Business, 65 per cent of consumers are already using AI tools during the research phase before making a purchase. These are not just tech-savvy early adopters. These are everyday customers using AI to shortlist, compare, and validate before they ever contact a business.

What this means in practice is significant. The AI narrows the field. Instead of ten links, a customer gets one or two recommendations. The businesses that appear inside that answer are the ones in the running. Everyone else is invisible — not ranked lower, not on page two. Invisible.

This matters enormously for Caribbean businesses, many of which never fully adapted during the traditional SEO era and are now entering the AI era with the same gaps. The expertise exists locally. The digital infrastructure to make that expertise visible does not.

 

Where AI Pulls Its Recommendations From

A common misconception is that AI tools simply “know” things. In reality, they retrieve and synthesise from sources across the web. Understanding those sources is the foundation of any strategy to get recommended.

AI systems draw heavily from LinkedIn, Reddit, YouTube, blogs, FAQ pages, review platforms, and structured website content. A 2026 analysis of 1.4 million AI citations found that LinkedIn alone now appears in roughly 11 per cent of all AI responses, and for professional queries, it is the single most cited platform, outranking
Wikipedia and all major news publishers.

What drives these citations is not social media popularity. The median cited LinkedIn post has between 15 and 25 reactions. AI does not care about likes. It cares about clarity, structure, and relevance. It is retrieving content that directly answers a specific question in a format it can extract and use.

This is the core problem for most businesses. They are active online, but they are not creating content AI can actually work with. Short captions, event photos, promotional posts, none of that feeds the system.

 

What Businesses Need to Start Doing

The practical shift is this: stop creating content for attention and start creating content that answers real questions.

Google’s “People Also Ask” section is a free roadmap. Search your industry and look at what appears. Those questions — How does keyman insurance work? What should I know before taking a business loan? How much does dental work cost in Trinidad? — are the exact queries showing up inside AI tools as well. They should become content.

Not short captions. Not vague motivational posts. Actual explanations. Written as if a knowledgeable colleague is answering a client’s question directly and clearly.

The structure matters as much as the content. AI systems do not read articles the way humans do. They retrieve small chunks of text that directly answer a specific query. That means content needs clear headings, direct answers at the top, and one focused topic per piece. The old SEO approach of burying the point to increase time on page no longer serves you. Lead with the answer, then explain it.

Businesses should be building LinkedIn articles, structured blog posts, FAQ pages, and educational videos on
YouTube and YouTube Shorts. Each piece should make clear who you are, what you do, what problems you solve, and for whom. Not in marketing language. In plain, extractable, useful language. If you don’t have a website, set up a Medium.com account and start creating content around the questions people are asking online.

 

Why 2026 Is the Moment to Act

This shift is not arriving. It is already here and accelerating fast.

Shopify’s checkout integration inside ChatGPT signals that AI is no longer just influencing decisions; it is becoming the transaction layer. Discovery, evaluation, and purchase are converging inside a single AI interaction. Businesses that are structured to be recommended at the discovery stage will be the ones capturing that sale.

The opportunity in the Caribbean is real. Most local industries have low competition when it comes to AI visibility right now. The businesses that build structured, informative, answer-first content today are setting a baseline their competitors will struggle to close later.

This is not about replacing your current marketing. It is about adding a layer that operates in the environment where an increasing number of customers are now making decisions.

The future of visibility is no longer just about being online. It is about being the answer.

 

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.

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