AI hasn't replaced how people shop. But it has quietly reshaped how decisions are made long before a purchase happens.
Buyers are no longer doing all the thinking themselves. They are outsourcing parts of it to AI.
AI is now part of the buying process, not just the research phase
When people use AI tools like ChatGPT during a purchase journey, they are not just looking for information, they are actively using it to narrow down options. And the data is already showing us exactly where AI fits in that buying process.
Source: Semrush (When you use AI tools to help with a purchase)
Research shows a clear pattern, AI is not replacing the journey. It is forming the early decisions that define it. The data shows half of users (47%) use AI to shortlist options before moving to Google for validation, like reviews or pricing. Another 40% use it to research and compare, then complete the purchase elsewhere. AI is not the final destination, but it's where people filter down to what's worth buying.
Buyers are using AI to make sense of too many options. Instead of sorting through dozens of options, they start with a refined list and from there, they move into more familiar channels like Google, marketplaces, or brand websites. This changes where influence came.
You are no longer competing for attention at the point of search. You are competing to be recommended.
How many buyers are actually using AI for shopping decisions?
It's not just how many people are using AI. It's where in the funnel it's happening. McKinsey research shows that half of all consumers now use AI when searching online, and Salesforce data shows 39% of shoppers are already using AI for product discovery, rising to 54% among Gen Z.
Source: Salesforce AI Agent Retail Trends
What's notable isn't just the volume. It's where in the journey AI is showing up. McKinsey's consumer research shows AI is most active upstream of the transaction, at the point where preferences form and options get narrowed. By the time someone lands on a product page or brand website, the consideration phase is already partially complete. The decision was already forming before the first click ever happened.
AI doesn’t replace Google, it restructures the buyer journey
There is a common narrative that AI will replace search engines, however the data says otherwise. Instead, it shows that buyers are using a mix of both. What’s happening in reality is not a move away from search, but a blending of behaviours.
Source: Semrush (How users combine AI with traditional search engines)
This kind of behaviour confirms that visibility now needs to exist across both settings, not one or the other. Around 33% of users start with search engines like Google, then use AI to summarise or compare choices. Another 26% begin with AI, then move to search engines to confirm what they have learned. A further 18% switch between both throughout the process. This is not a replacement, but rather it’s an integration.
Buyers are creating their own route in making decisions
AI to simplify.
Google to verify.
AI to simplify.
Google to verify.
And websites to confirm.
This creates a layered challenge. You need to be visible in search.
But you also need to be understood by AI because if AI cannot clearly interpret your offer, you may never even make it into that second stage of validation.
Do AI users actually click through?
One of the biggest questions is whether AI decreases website traffic.
The answer is not that simple. This shows that clicks are no longer automatic, they are earned through clarity and curiosity.
Only 11% of users say they “almost always” click links in AI answers. Meanwhile, 44% say they “sometimes” click, and 27% say they “often” do. That means the majority of users are selective.
They don’t click on everything. They click when they feel it’s necessary to find out more. This suggests that AI is absorbing part of the research phase. If the answer is already clear, the user may not need to click, however if the answer raises more questions, they will. Therefore, this is where content clarity is key.
If your brand is mentioned but not convincing, the click doesn’t happen. If your positioning is solid, the click becomes a natural next step.
AI is influencing brand awareness more than you think
AI is not just helping users decide, it is determining what they notice.
Over two-thirds of users say they notice brands mentioned in AI-generated answers at least sometimes, with a significant portion noticing them often.
Even more interestingly, 41% of users say they have discovered a new brand through AI tools.
That is not an insignificant number, and shows that discovery is happening outside in traditional channels.
It means AI is not just supporting decisions. It is introducing selections.
This change in visibility from being search-based to being context-based.
It is not just about ranking anymore, it is about being relevant to the question being asked.
What makes one brand stand out in AI results?
When AI presents multiple choices, what actually influences the user’s choice?
The data points to one thing, clarity of explanation cited by (43%) of users.
Not price. Not brand recognition. Not positioning, but clarity.
This is followed by value (39%) and perceived fit (37%).
Even brand familiarity is on par with significance.
In AI results, it implies that how clearly your offer is explained matters more than how well-known you are. This means:
- Vague messaging loses
- Overly technical language loses
- Unclear positioning loses
AI rewards businesses that are easy to understand because that is what users respond to.
Do people trust AI recommendations?
Trust is not certain, but it doesn’t need to be.
Most users fall in the middle range, with 40% rating their trust at 4 out of 5, and another 35% at 3 out of 5. This is not blind trust, but it is enough to influence buyers' decisions. People aren't handing decisions over to AI entirely. They're using it as a starting point and then verifying elsewhere.
The buying journey hasn't disappeared, it has moved. Decisions are being made earlier, in AI tools, in conversations with others, in summarised comparisons that happen before a brand even knows someone is looking. Clarity of explanation arguably now matters more than brand recognition. Trust is moderate but enough to influence. And the buyers who arrive having already used AI to research are more considered, more intentional and closer to a decision.
The businesses that understand where decisions are actually forming will be the ones that show up at the right moment, with the right message, before their competitors.
Source: Semrush (Where do you Go to Validate Brands?)
Around 68% still go to Google or other search engines to confirm what they see. Nearly half check brand websites, while others turn to review platforms, YouTube, or social media.
This reinforces a key point that AI shapes the direction but validation still happens elsewhere.
So, do AI tools actually convert users into buyers?
This is the big question, and the answer is yes.
Around 41% of users say they have purchased something after using AI for research however, only 22% have completed a purchase directly within AI tools themselves.
That gap matters because it shows that AI is not a conversion channel in the traditional sense, but it is a decision accelerator. Why? Because it moves users closer to a purchase faster, it reduces doubt, and it narrows choices. But the final transaction still often happens outside the AI setting.
The real impact of AI on buyer decisions
AI does not replace the buying journey, but it compresses it.
Buyers still:
- research
- compare
- validate
- decide
But they do it faster, with fewer options, and with more clarity. And that changes the competitive scene because if your business is included early, you shape the decision, but if you are not, you are removed from consideration before the process starts.
AI is not just another advertising channel. It is a change in how people think, compare, and choose. The brands that win will not be the ones that scream the loudest.
They will be the ones that are easiest to understand, most appropriate to the question, and aligned with what the buyer is trying to solve. Because in AI-driven decisions, clarity is no longer a benefit however, it is a requirement.