Your store is open. But does AI know that?

Your store may be open, fully stocked, competitively priced and delivering excellent service. Even so, for a growing number of consumers, it may simply not exist.

All it takes is for artificial intelligence to be unable to find it, understand what it offers or confirm whether it is open.

I recently spent a few days on vacation in Buenos Aires and realized I would be in the city during a national holiday. As with any holiday, many businesses could be closed or operating on different schedules.

I did what we have always done. I searched Google to find out which stores and restaurants would be open. The results kept showing the same warning: opening hours might vary because of the holiday.

The information was technically correct, but it did not answer my question. I did not want to know whether the hours might change. I wanted to know where I could actually go.

That was when I turned to ChatGPT. I explained the situation, shared the area where I was staying and asked which places were likely to be open. The tool presented a few options, gathered the available information and its recommendations proved to be correct.

This example is not meant to suggest that one platform is better than another. Artificial intelligence also makes mistakes. It may recommend a place that is closed or present outdated information. What caught my attention was the change in search behavior.

With traditional search, we receive links and must interpret the information ourselves. With conversational search, we explain what we need and expect the tool to interpret the information for us.

Consumers are no longer simply searching for “restaurants in Buenos Aires.” They can now ask where to find a good restaurant that is open during the holiday, close to their location, within their budget and serving the kind of food they want.

They can also ask where to buy comfortable walking shoes, which nearby store offers the best price, who can deliver today or which product solves a specific need.

Search is no longer limited to products. It is increasingly about solutions.

Google itself acknowledges this shift. According to the company, queries made through its AI Mode are becoming longer and more complex. Instead of typing isolated words, people are describing situations, preferences and needs. The distance between discovery and decision is getting shorter. According to Google, AI is already acting as a personalized consultant, bringing together information and comparing alternatives during a conversation.

The numbers help illustrate the scale of this transformation. In the American market, traffic sent by AI tools to retail websites grew by 393% during the first three months of 2026 compared with the same period a year earlier. Among the consumers surveyed by Adobe, 39% had already used AI assistants for online shopping, and 85% of them said AI had improved their shopping experience. In March, traffic originating from AI delivered a conversion rate 42% higher than other digital channels.

Salesforce identified a similar movement. According to its Connected Shoppers Report, 39% of consumers were already using AI to discover products. Among Generation Z, the figure was above 50%. Salesforce’s recommendation to retailers is clear: product descriptions must anticipate the problem consumers are trying to solve, rather than simply focusing on the word they would type into a search engine.

While customers use artificial intelligence to decide where to shop, many companies are still using the same technology mainly to write captions, create images or answer messages.

There is a huge gap between these two realities.

Many brands, particularly small and medium businesses, still maintain institutional websites that say very little. The copy tells the company’s story, talks about quality and commitment and presents a few attractive photographs, but it fails to answer the most basic questions of someone who wants to buy.

What does the company sell? Who is the product designed for? What problem does it solve? How much does it cost? Is it available? Does the company offer delivery? Which areas does it serve? Is the store open on Sundays? Does it operate during holidays? Is a reservation required? Is parking available? Is the location accessible?

It is no longer just about text. It is about context.

It is also common to find a business showing one opening time on its website, another on Google and a third on Instagram. The menu is stored in an old image. The list of services appears only in social media highlights. The catalog provides no inventory information. The product page contains a photograph, a product code and a generic description that could just as easily belong to a competitor.

For a person, this creates friction. For AI, it creates contradiction.

When a system cannot find enough information or identifies conflicting data, it may respond with disclaimers, present competing options or leave the brand out of its recommendation altogether. The business being recommended will not necessarily be the best one. It may simply be the business that artificial intelligence can understand with greater confidence.

Your brand may lose a sale not because a competitor offers something better, but because that competitor is better organized digitally.

This starts with the basics. The correct business name, complete address, telephone number, location, regular and special opening hours, descriptions of products and services, prices, availability, delivery areas and purchasing options.

Google itself states that businesses with complete and accurate information are more likely to appear in local search results. The company recommends regularly updating opening hours and confirming holiday schedules, even when they remain the same as usual.

My experience in Buenos Aires could have been resolved by the businesses themselves through an update that would have taken only a few minutes.

For more structured operations, this preparation also includes websites that machines can understand, organized data and current catalogs. OpenAI, for example, already allows retailers to share their product catalogs so items can appear in ChatGPT with information such as images, prices, availability and reviews. The more complete and current the data, the greater the likelihood that the product will be represented accurately during a comparison.

This points to where the market is heading. AI does not only need to know that a particular product exists. It needs to understand the circumstances in which that product should be recommended.

This is why I say that AI is also the new retail customer.

It does not buy because it feels desire, but it already reads, compares and interprets a business before many people ever arrive at the store. In many situations, AI will introduce the brand to the consumer, explain its differences and determine whether the company deserves to be included among the available options.

Some call this preparation AEO, which stands for Answer Engine Optimization. The name matters less than the effect. Brands are no longer competing only for a position on a page filled with links. They are also competing for space in an answer that may present only two or three alternatives.

SEO remains necessary. Keywords remain important. But without context, consistency and reliable information, they are no longer enough.

Before investing in an ambitious artificial intelligence strategy, many small businesses may need to start by putting their digital house in order. There is little value in installing sophisticated tools when the opening hours are wrong, the address cannot be found or nobody can clearly understand what the company sells.

AI does not fix a confused business. It can amplify the confusion.

Run a simple test. Do not search for your company’s name, because that only shows whether someone who already knows your brand can find it. Ask ChatGPT, Gemini or Google where to buy the type of product you sell in the area where you operate, considering price, delivery time, availability and a specific customer need.

See whether your company appears. Then check whether the information presented is correct.

Your next customer may be two blocks away from your store and never walk past your window. They will ask an assistant where to go, receive a few recommendations and choose one of them.

A store can be open to the street and, at the same time, closed to this new consume