31 July 2026, 08:06
By Jimmy Connoley Jul 31, 2026

Thinking beyond traditional search

Today’s furniture shoppers are making more considered buying decisions, often turning to AI platforms for answers – so independent retailers ready to become part of that conversation can get ahead of the crowd, explains Jimmy Connoley, the founder of UK-based AI search agency Rank4AI

For years, online visibility has largely meant one thing – Google. Retailers invested in SEO, paid search and product feeds because that’s where customers went when they were ready to buy.

And that remains true today. Millions of people still search directly for products every day, whether that’s a dining table, a pair of trainers, a coffee machine or a new sofa.

What is changing, however, is how customers discover those products in the first place.

Increasingly, consumers are turning to platforms such as ChatGPT, Gemini, Perplexity and Claude to help them make decisions before they know exactly what they want. Rather than searching for a specific product, they are having conversations.

Instead of typing ‘best extendable dining table’, a customer might ask: “I have a small dining room and regularly host six people. What type of table would work best?”

Instead of searching for a sofa, they might ask: “What type of sofa fabric is best for a house with dogs and young children?”

Someone shopping for garden furniture may ask: “What material will last longest outside in the British weather?”

These are not traditional product searches. They are discovery conversations.

Historically, most retailers focused on being visible when a customer was ready to purchase. Today, more and more retailers are focusing on being present at the point of inspiration and discovery, not simply at the point of transaction.

The reason is simple. Customers are spending more time researching, comparing options and seeking advice before they buy. And AI platforms are becoming part of that process.

When someone asks an AI platform for guidance, the system has to decide which brands, retailers and sources it trusts enough to reference. The retailers that appear in those responses have an opportunity to influence purchasing decisions long before a customer lands on a product page.

For retailers, this creates a new layer of visibility. Success is no longer just about appearing when somebody searches for a specific product. It is increasingly about being part of the conversations that happen before the search itself.

For independent retailers, this can be particularly powerful. Large retailers often win on scale, stock levels and advertising budgets – but independent retailers frequently win on expertise. They understand their products, their customers and the questions buyers ask every day. The challenge is making that expertise visible online in a way that both people and AI systems can understand.

So, what does this mean in practice?

Retailers need to think beyond product pages and category pages. The businesses that are becoming more visible in AI platforms are often the ones that clearly explain who they are, what they sell, who they help and why customers should trust them. They create useful content around customer questions, build consistent signals across their website and wider online presence, and make it easier for both people and AI systems to understand their expertise.

The good news is that many of the foundations are already familiar. Strong content, clear positioning, trustworthy information and a well-structured website matter just as much in AI-driven discovery as they do in traditional search.

Google is not disappearing. SEO is not dead. Product searches still matter enormously. What is changing is the number of places consumers go before they reach that final search.

The retailers who recognise this early have an opportunity to become part of the conversation long before a customer is ready to buy. And in a world where recommendations increasingly come from AI systems as well as search engines, that visibility may become one of the most valuable assets a retailer can build.


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