Why Traffic Is Dropping, and Who’s Already Winning in AI Search

If you’ve been watching your organic traffic decline, you’re not alone. For many marketing teams, the immediate assumption is that something must be going wrong. Rankings have dropped, competitors are performing better, or perhaps the content strategy needs another rethink.

Sometimes that’s exactly what’s happening. But search itself is also changing, and that makes traffic harder to interpret than it used to be.

Customers are increasingly getting the information they need directly from search results, maps and AI-generated answers. They may still be searching for your brand, your products or a business like yours. They may even choose one of your locations. What they don’t necessarily need to do is visit your website first. For multi-location brands, that distinction matters. If a customer discovers your nearest store, checks that it’s open and gets directions without visiting your website, the website has lost a session. The business hasn’t necessarily lost a customer.

So perhaps the question isn’t simply why traffic is dropping. It’s what that drop actually tells us.

Fewer clicks don’t always mean less visibility

For years, organic search followed a journey that marketers understood reasonably well. Someone searched, found a result, clicked through to a website and, hopefully, took an action. That journey is becoming less predictable.

Research into Google’s AI search experiences has found that people are less likely to click through to external websites when AI-generated answers appear. In a 2026 study using browsing data from a representative panel of 900 US adults, clicks to sources cited in AI Overviews occurred in only about 1% of visits to those overviews. If the information someone needs is already available in the search experience, there is less reason to go looking for it elsewhere.

This doesn’t mean every decline in organic traffic is caused by AI, or that traffic has stopped being an important metric. But it does mean that the relationship between visibility and traffic is changing. A customer can find you without clicking on you.

For businesses that ultimately want customers to visit a physical location, that has an interesting consequence: a search journey can be successful even when it generates no website session at all.

Local search has always been about more than the website

Think about how someone chooses a restaurant, bank branch, shop or charging station.
They might search on Google, look at Maps, check reviews, visit a website, ask for directions or move between several of those before deciding.
AI adds another place where that discovery can happen.
A customer can now ask something as specific as: “Find me an Italian restaurant nearby that’s open after 10 and has outdoor seating.”

If the answer gives them enough information to make a decision, the next step could be opening Maps, making a reservation or simply going there.
For the marketing team looking at website analytics, that journey is difficult to see. For the customer, it was perfectly straightforward.
This is why declining traffic can become misleading when viewed on its own. For a multi-location brand, the website visit was rarely the final objective anyway. The objective was the booking, the appointment, the phone call, the request for directions or, ultimately, the visit to the location.
AI doesn’t change that objective. It changes some of the steps that happen before it.

Search journeys are becoming harder to follow

This isn’t simply a question of customers moving from Google to ChatGPT.
BrightLocal’s 2026 research found that 75% of consumers used more than one channel during their most recent search for a local business. AI tools were used by 23% at some point in that journey, but most consumers who started with AI went elsewhere to verify what they found.

Someone might ask an AI assistant for recommendations and then check the options on Google Maps. Someone else might discover a business through Google, read reviews and visit its website. Another customer might already know the brand but use AI to work out which nearby location offers what they need. There isn’t one new customer journey replacing the old one. There are simply more possible journeys.
That makes it increasingly difficult to use one metric, particularly website traffic, as a proxy for how discoverable a brand really is.

Two traffic drops can tell very different stories

Imagine two retailers both see organic traffic fall by 20%. For one, the explanation is bad news. Its locations are becoming less visible, competitors are appearing more often and customer actions are falling alongside website visits.
For the other, website traffic has also fallen, but its locations continue to appear prominently in search. People are still requesting directions, calling stores, interacting with profiles and choosing the brand through other discovery channels.
The traffic decline looks identical. The underlying performance isn’t.
That’s why the useful question after seeing a drop in traffic is no longer only “How do we get those visits back?”
We also need to ask what happened to the customer: Did fewer people discover the brand? Did competitors take visibility away? Did customer actions decline? Or did part of the journey simply move somewhere that website analytics cannot see?
Those questions lead to very different decisions.

So who is already winning in AI search?

It’s tempting to think that the brands ahead in AI search must be doing something entirely new.
In reality, the advantage may belong to brands that are simply getting better at understanding the whole discovery journey.
They still care about rankings and website traffic, but they don’t look at either in isolation. They pay attention to how individual locations are performing across search and maps, how customers interact with them, what happens to calls and requests for directions, how reputation is changing and, increasingly, whether their locations are appearing in AI-generated recommendations.
AI visibility becomes another signal, rather than a replacement for everything marketers were measuring before.
This matters because there probably won’t be a single new KPI for AI search.
The challenge is to build a more complete picture from the signals available.

Your website hasn’t stopped being important

If fewer customers need to visit a website before making a decision, it’s reasonable to wonder what that means for the website itself.
Its role is changing, but that doesn’t make it less important.
Customers still use websites to research businesses, understand products and services, make bookings and complete transactions. At the same time, the information published on a website can help search engines and AI systems understand the business and its individual locations.
That means a page can contribute to discovery even when it isn’t the final destination.
We’ve explored this side of the shift in more detail in The data gap behind your AI search answers and Generative Engine Optimisation vs SEO.

For this conversation, the important point is simpler: website traffic and website value are not necessarily the same thing.

What should marketers measure instead?

There isn’t one metric that can replace organic traffic, and looking for one probably misses the point.
Traditional search visibility still matters. Website sessions and conversions still matter. For multi-location brands, so do calls, bookings, requests for directions, profile interactions, reviews and other location-level actions. AI visibility now adds another piece to that picture.

Can AI systems find and understand your locations? Do they mention your brand when customers ask relevant questions? Which competitors appear? Does that change across locations or different types of searches? None of those metrics tells the whole story independently.

Together, they can help answer a much more useful question: are customers still finding and choosing us, even if the route they take is changing?

Traffic is changing. The objective isn’t.

There will still be times when falling traffic should concern marketers. It can indicate weaker rankings, lower demand, stronger competitors or problems with the website itself. The difference is that we can no longer assume that’s always the explanation.

Search is becoming more fragmented, AI-generated answers are removing some of the need to click, and customers have more ways to move from discovery to action without following the journey marketers have traditionally measured. For multi-location brands, the response shouldn’t be to stop caring about traffic. It should be to put traffic back in context.

Because ultimately, the objective hasn’t changed. You want customers to discover your business, choose the right location and take action.
The route they take to get there is what’s changing.

See the bigger picture of local discovery

Localistico helps multi-location brands understand how customers find and interact with their locations across search, maps and AI. Track local visibility and customer actions alongside your presence in AI-generated recommendations, so you can see where you’re being discovered, where competitors are appearing and where there’s room to improve.
Explore Localistico’s AI capabilities or book a demo to see where your locations stand.
For more on what sits behind those AI recommendations, read The data gap behind your AI search answers.