AI Visibility for Ecommerce: When AI makes purchase decisions, what happens to your online store?

The online commerce of the future will not look like what we are used to seeing. Your customers will no longer search for products using traditional search, nor will they visit your website to compare options. They will be talking to AI and AI will make the purchase decision for them. The question is: Will the AI recommend your online store?

When we talk to our customers at Aihio, the same concern is repeated more and more often: "Our website traffic is decreasing, even though we invest in search engine optimisation." The reason is not bad SEO. It's because the buying playing field has changed and many people haven't even noticed yet.

AI is no longer just a tool for content production or a chatbot in the corner of a webpage. It is the new middleman between your customers and your online store. And it's deciding whether you get in on the conversation or stay out of it.

When buying becomes a conversation

I remember my first online purchase in the early 2000s. I spent hours comparing products in different online shops, opening dozens of tabs, reading reviews, checking prices. It was time-consuming, but it was the only way to get all the information together.

In 2026, this process sounds antiquated.

Today a customer opens ChatGPT and asks:"What is the best wireless mouse for graphic design for less than 100 euros?" The AI analyses thousands of reviews, compares features, checks prices and makes an accurate recommendation in seconds. The customer doesn't visit a single online shop. He trusts the AI.

"Agentic AI will be the fastest to change the front-end of shopping in 2026, especially in discovery and decision making. We're already seeing a huge increase in customer requests for GEO guidance and LLM visibility, a clear sign that consumers will increasingly rely on AI assistants to plan meals, build lists, find gifts and highlight products based on contextual prompts - not keywords," said David MacDonald, Razorfish's director of retail and commerce experience.

This is agentic AI - AI that doesn't just provide information, but actively acts on behalf of the user. It compares, infers and recommends. And soon it will buy.

Want to see this in practice? There are already agent-based browsing assistants available, such as ChatGPT's Atlas browser agent, which can browse and compare products on behalf of the user, illustrating the shift in purchasing towards delegation. You tell it what you're looking for and it browses web pages for you, compares products and aggregates the information. Watch as it navigates from site to site, reading product descriptions, checking prices – all automatically. It's like looking into a future where your customers no longer click on your pages themselves, but an AI does it for them.

Zero-click commerce: a future without website visits

Think for a moment: what happens when a customer no longer needs your website to make a purchase?

This is not a dystopian vision of the future. It is already a reality in many forms.

In 2025, Google introduced agentic shopping features such as "buy for me" checkout and gradually brought them into the AI Mode shopping experience. OpenAI added a shopping research function to ChatGPT that compares products and provides accurate shopping guidance. Amazon developed a Rufus assistant that guides users through the entire shopping process.

These are not experiments. These are early signs of where we are going.

Zero-click commerce means that a purchase decision is made without the customer ever clicking on a link or visiting a website. Artificial intelligence does it all: search, compare, filter, and finally buy. Zero-click does not mean the disappearance of online shopping, but that more and more purchase decisions will be made before a website visit, and sometimes without one.

Research shows that 73% of consumers are already using AI in their shopping process - for product ideas, summarising reviews, or comparing prices. And while only 13% say they have made a purchase based on an AI recommendation, 70% are willing to let AI do the shopping for them.

Behind the numbers lies a real shift: consumers are learning to trust AI in the same way they once learned to trust Google.

Personalisation is no longer a choice but a prerequisite

VP of Pinterest Julie Towns aptly describes the shift, "During the holidays we saw people coming up with very specific, attribution-level questions - not just 'black boots', but 'black knee boots with a heel that match this outfit'. Consumers now expect platforms to understand both taste and intent."

This is a key turning point. AI does not search for products based on keywords. It understands context, need, purpose. It knows that "a mouse for graphic design" requires different features than "a mouse for gaming".

If your online shop's product descriptions are generic, if you don't explain why your product is suitable for a particular use, the AI won't be able to recommend it. You need to give the AI enough context to understand your product's place in the world.

GEO: Why NOW is the right time to act

At this point, many online retailers think: "This sounds like SEO. Isn't search engine optimization enough?"

Not enough. And here's why.

Traditional search engine optimisation (SEO) is all about getting your page to show up in search results. Generative Engine Optimization (GEO) aims to get your brand mentioned in AI responses. The difference is crucial.

When a user asks ChatGPT"What is the best electric bike for city riding?", the AI does not provide a list of links. It gives a direct answer and mentions specific brands. If your brand is not in that answer, you don't even get a chance.

"Based on expert insights from Aihio, SEO alone is no longer enough. GEO is not a substitute for SEO but a necessary complement. When AI starts to make purchasing decisions or at least strongly influence them, visibility in these responses will be as critical as Google ranking used to be," says Oskari Ilomäki, founder and CEO of Aihio Digital.

And why is now the right time to invest in GEO? For three reasons:

1. Competition is still moderate

SEO has been around for decades. Every online retailer knows its importance, and the competition is relentless. GEO, on the other hand, is still a new field. For many brands, GEO is still in its early stages, and the practicalities of doing and measuring it are only just beginning. Early adopters will have a significant advantage.

"GEO is now at the stage where SEO was in the early 2000s. Those who understood its importance then took a step ahead of the competition. The same is happening now with GEO. The difference is that the change is happening much faster," says Erno Ojanperä, GEO/SEO expert at Aihio Digital.

2. Traditional search is rapidly declining

Gartner predicts that search volume on traditional search engines could fall by up to 25% by 2026 as AI chatbots and virtual agents become more common. People no longer want to scroll through dozens of search results - they want a straight answer. According to Similarweb, ChatGPT visits surpassed Bing visits in the US in September 2024 and the trend is only accelerating.

On the flip side, many publishers report a significant drop in organic traffic as AI approaches become more common. In Reuters Institute polls, some operators estimate that traffic could fall by more than 40% over the next few years. If you don't show up in the summary, you're losing a huge amount of traffic.

3. Structured data is vital

David Hunter of Local Falcon puts it bluntly: "Online shopping is starting to feel less like shopping and more like using a personal virtual shopping assistant. As agentic AI begins to place orders autonomously, real-time accuracy of product availability becomes critical. Brands that adapt and make themselves easy to find and scan will be the real winners of 2026."

If your product data is not structured - if you don't use schema markup, if your product descriptions are not clear and contextual - AI will not be able to recommend your products. It's as simple as that.

Trustmary in the age of artificial intelligence: reviews in a new light

This is where Trustmary comes into the picture in a completely new way than before.

In the past, we thought of reviews mainly as conversion tools: customer feedback in e-commerce builds trust and increases sales. This is still true, but now reviews play another, even more critical role: they are the most reliable source of data for AI.

When AI evaluates which online stores to recommend, it doesn't rely on product descriptions alone (which are written by the seller). It relies on what real customers say. Reviews are social proof for AI.

Studies show that AI is strongly boosting reviews in its responses. If a user asks "Is company X trustworthy?", the AI looks for reviews and highlights them. If there are no reviews, or if they are old, low or negative - you will not be recommended.

Trustmary's role is changing: it is not just a tool for collecting and displaying reviews. It is a tool for AI visibility.

By systematically collecting reviews on Trustmary and displaying them both on your own website and on your Trustmary profile page, you build a digital footprint that AI recognises as trustworthy. The more up-to-date, multi-channel reviews you have, the stronger your AI presence will be.

And here's another key point: third-party criticisms are more impressive than your own claims. A Trustmary profile page, where your customers' reviews are publicly available, is a much more reliable source from an AI perspective than your own website, where you praise yourself.

Concrete example: when AI influences your purchasing decision

We recently analysed how different industries are reflected in AI responses. We tested the backyard sauna sector - an industry where the purchase decision is a major investment and consumers do a lot of background work before making a decision.

We tested different AI tools (ChatGPT, Perplexity, Gemini) on Aihio with a question: "What is the best backyard sauna for a small family?" and "Do you need a building permit for a garden sauna in 2026?"

The results were eye-opening:

• The AI did not just mention brands, but referred directly to blog articles that answered the questions
• In particular, sites with comprehensive guides on topics such as "How much does a backyard sauna cost" and "Which log option is best" stood out.
• The responses cited directly from articles on building permits, schedules, and material choices

When we dug deeper, we found that there were a few things that the sauna industry's AI successes had in common:

1. They answered the right questions - The articles were titled with the question "How long does it take to build a garden sauna?" or "Do I need a building permit for a garden sauna?"
2. Content was structured and comprehensive - Clear headings, logical structure, detailed answers
3. Timeliness - The articles dealt with the situation in 2026, making them relevant to AI
4. Expertise was evident - Technical details on log options, licensing procedures, prices

This is no coincidence. This is good GEO work.

When a consumer asks ChatGPT "which patio sauna should I choose?", the AI doesn't just give them a brand name. It provides context, a comparison, and a link to an article that explains things fully. And if your online store's content meets this need, you'll get both AI visibility and a potential customer.

This is the future of search engine optimisation: answer questions so well that AI wants to quote you.

The numbers speak for themselves: why AI visibility pays off

When we talk about AI visibility, we are not talking about an abstract vision of the future. We are talking about measurable business impact.

Adobe Digital Insights reports that generative AI traffic to US e-commerce sites will increase by 4700% year-on-year by July 2025. In the holiday season of 2024, this traffic increased by 1300% compared to the previous year.

But quantity alone does not tell the whole story. Quality is even more interesting:

• Visitors coming through AI have 10% higher engagement
• They spend 32% more time on the site
• They have a 27% lower exit rate

What does this tell you? Visitors coming through AI are better qualified. They have not accidentally wandered onto your website. They have been directed there by AI because they are genuinely interested in what you have to offer.

In many industry and vendor reports, AI-assisted shopping is associated with higher purchase intent and faster decision-making, as comparison and shortlisting of options takes place before you even arrive at the online store.

This is not surprising. When AI has already done most of the groundwork - comparing options, filtering out the irrelevant, making sure the product fits the need - it's easier to make a buying decision.

Why do traditional metrics no longer tell the whole truth?

Here's a challenge that many online retailers face: all the familiar metrics look like things are fine. Google ranks well. SEO scores are high. Content is being produced regularly.

But traffic is falling. Sales do not increase. Competitors are taking market share.

The problem is that traditional metrics do not see AI visibility. They measure how well you look in traditional search, but they don't tell you anything about how well you look in AI responses.

It's a bit like the print advertiser of the early 2000s who measured success by the size of newspaper ads, but didn't realise that customers had already moved online.

"The biggest mistake we see online retailers making is assuming that SEO is enough. GEO is not a substitute for SEO - it's a complement to it. If you don't optimise for both, you'll lose half of your potential visibility," says Erno Ojanperä from Aihio.

To understand the true state of your AI capability, you need to:

1. Test regularly - Ask relevant questions or set up tracking with AI search visibility tools and see if your brand is mentioned
2. Track referral traffic - Check Google Analytics 4 to see if traffic is coming from chat.openai.com, perplexity.ai or similar sources
3. Analyse your review data - How many recent reviews do you have? From which channels? What do they say?
4. Mapping mentions - Where else online is your brand being talked about?

These are not traditional SEO metrics, but they are critical in GEO.

Practical steps: what online traders need to do now

The theory is clear, but what does this mean in practice? Here are concrete steps to take now:

1. Make product descriptions contextual

Stop genericism. Do not write "high-quality mouse". Write "ergonomic wireless mouse for graphic design with 4000 DPI resolution and customisable buttons, suitable for Adobe software". Give the AI enough context to understand who and what the product is for.

2. Structure your data

Use schema markup (schema.org). Label products, reviews, prices, availability in a machine-readable format. AI cannot interpret poorly structured data.

3. Collect reviews systematically

Don't get caught up in old reviews. The AI prefers fresh reviews. Trustmary's automated feedback collection ensures that you're constantly receiving new reviews that keep your AI up to date.

4. Show reviews on multiple channels

Don't hide your reviews. Show them both on your own website and on your Trustmary profile page. The more places your reviews appear, the stronger the signal to the AI.

5. Answer questions, not just keywords

Create content that answers real questions. "What is the best electric bike for city riding?" is a question worth answering with an article or guide. AI looks for answers to questions - not just keywords.

6. Actively build your brand

AI won't find you if you don't exist in the wider web. Blog, write guest articles, participate in discussions, give interviews. The more often your brand is mentioned in trusted sources, the more likely AI will mention you.

B2B vs B2C: AI makes a difference

It is important to understand that the impact of AI on purchasing is not the same for everyone. There are significant differences between B2C and B2B transactions.

On the B2C side, change is faster and more straightforward. Consumers are agile in adopting AI tools for everyday use. They ask ChatGPT for recommendations, compare products on Perplexity and increasingly rely on AI assistants for guidance. Purchasing decisions are more often impulsive and can be influenced immediately by AI.

In B2B, change is slower but perhaps even more significant in the long term. Forrester predicts that by 2026, at least one in five B2B sellers will have to respond to AI-based buyer agents that make dynamic counter-offers.

In B2B, purchasing decisions are influenced by a more complex decision-making process, but that's where AI is even more valuable: it can help throughout the entire process - from competitive analysis to comparison of technical specifications and contracts.

In both cases, the same principle applies: if you are not mentioned in the AI's answers, you are excluded from the decision-making process altogether.

Sectoral comments

The importance and implementation of GEO varies from industry to industry:

Fashion and lifestyle: visual appeal is important. Pinterest Assistant and similar tools combine image search with AI recommendations. Focus on visually rich content and make sure your images are tagged correctly.

Electronics and technology: the importance of accurate technical specifications is highlighted. Artificial intelligence looks for precise numbers and compares features. Structured data is critical.

Health and well-being: trust is everything. Reviews, certifications and third-party validation are paramount. AI will not recommend health-related products without strong evidence.

Food and drink: contextual details (allergens, ingredients, intended use) are crucial. When someone asks "gluten-free pasta that works in carbonara", the AI needs to find this information in your product description.

Finally: adapt or get left behind

AI expert Bernard Marr sums it up well: "AI is rewriting the rules of search, and for online retailers in 2026 this could mean less web traffic and fewer sales opportunities. The solution is to adapt sales strategies to be AI-friendly. This means building feeds that chatbots and agents can interact with, and ensuring that product listings have accurate data that algorithms are looking for."

We are in a period of transition, similar to the shift from print to digital. Those who adapted in time thrived. Those who waited and hesitated lost market share.

Now is the time to choose: will you wait until your competitors have already conquered AI visibility or will you take the plunge now, while the opportunity is still in your hands?

At Aihio, we help online businesses navigate this change. We combine the best of AI and humans: AI analyses, humans validate. AI produces, humans finish. The result is efficient, fast and effective.

And when you combine that with Trustmary reviews and customer feedback, you build a sustainable foundation for AI excellence.

The future is no more. It is already here. The question is: Are you in?

The expert comments in this article are based on client work and practical observations, not on public research data.

Author: Pekka Jokiaho, Senior E-commerce Specialist, Aihio Digital

Aihio Digital is an AI-based digital marketing agency in Finland that helps businesses succeed in search engine optimization, GEO, and digital marketing. We combine the power of AI with human expertise for the best results.