March 12, 2026
There’s no shortage of opinion on how artificial intelligence is changing how people research, evaluate, and decide online. Bold claims are abundant but, what’s still rare, is behavioral data showing how consumers are actually navigating digital environments.
Behavioral data refers to observed digital activity. What people do online, rather than what they report in surveys. That perspective makes it possible to see how consumer decision-making is evolving as AI tools enter everyday use.
RealityMine® measures what users are doing across apps, search, and content consumption, and the patterns emerging from the data suggest that AI is compressing the research and discovery stages of digital decision-making in ways that are already changing where decisions happen.
An AI customer journey is the path a consumer takes from question to decision when AI tools sit inside that path. Instead of moving through searches, clicks, and review sites, the user reads intent in real time and gets the answer directly from an AI interface. Research, evaluation, and decision still happen, but they compress into far fewer interactions, often one.
That changes where the decision forms. It is no longer built across a chain of observable touchpoints. It forms in the moment the answer appears, which is where measurement now has to reach.
One of the earliest predictions about AI was that chatbots would cannibalize Google and other traditional search engines, and users would simply switch. Behavioral data doesn’t support this.
The average user is executing 50% more Google searches per month than they were a year ago, up from 27 searches in March 2025 to 40 per person in January 2026. Search activity is increasing rather than declining.
What has changed is the structure of those searches. Search queries are becoming longer and more conversational. The average search has grown from 23 characters to 25, and nearly one in four Google searches is now over 30 characters. 14% of Google searches now begin with a question word — who, what, where, when, why — up from 11% a year ago.
Users are no longer typing shorthand to get a list of options. They’re asking in sentences, expecting something closer to a conversation. The search box is morphing into something closer to a prompt, and that tells us a great deal about where user expectations are heading, even within Google’s own interface.
This surge isn’t limited to search usage. AI applications are moving into everyday digital behavior at striking speed.
Users opened AI apps three times more often in January 2026 than they did ten months earlier, increasing from an average of six sessions per month to around 18. They even spent 3.4 times as long in those apps over the same period.
ChatGPT alone now reaches nearly one in three users, roughly doubling its reach in less than a year and becoming a normalized utility.
Meanwhile, the sites that historically sat between the search bar and the decision — the WebMDs, the CNETs, the Investopedias, the WikiHows — are stagnant or in decline. Reach, time on site, frequency of visits: the trajectory is flat or falling across this cohort of traditional research and review properties.
The process that once looked like
Search → Click → Read → Decide
is collapsing into a single interaction. Users are getting their answer in the search result itself, or within an AI app, without ever visiting the site that would previously have provided it.
That shift reduces the number of steps between question and answer, and it removes many of the intermediaries that once shaped consumer research.
Another pattern emerging from behavioral data is a change in how people distribute their attention across digital environments: AI is producing deeper engagement in fewer places.
Users are engaging with 13% fewer apps per month than they were ten months ago. At the same time, they're spending 12% more time on their phones. A similar pattern appears on the web: the number of domains visited has risen modestly from 208 to 225 per person per month, while average time spent has doubled. This points to a concentration of digital behavior. People are going deeper into fewer environments instead of sampling large numbers of apps or websites.
There is, however, an important nuance here. Users aren't simply consolidating around the same dominant platforms. The biggest apps are not necessarily getting bigger: the top 25 apps' share of total time has actually fallen, from 71% to 66%. Engagement is deepening, but it is doing so across a broader set of destinations.
For brands trying to influence the customer journey, this creates a different competitive environment. Winning attention increasingly requires relevance within the environments where users are already spending time.
AI is no longer a layer on top of the customer journey; it is becoming the journey itself, actively reading intent and delivering answers in place of the searches and sites people once moved through. The behavioral data shows this happening stage by stage, and it shows the change concentrated in the steps before a purchase, where brands have always had the least visibility.
Stage 1: Awareness & Discovery
This is where AI now shapes how brands first get found. Users are running 50% more Google searches than a year ago, but they're asking in fuller sentences, with 14% of searches starting with a question word, up from 11%. Discovery is becoming a conversation, and the brands that surface are the ones AI interfaces choose to cite.
Stage 2: Consideration & Evaluation
The comparison step is collapsing. Users opened AI apps three times more often in January 2026 than ten months earlier, while reach at the review and how-to sites that once carried this stage is flat or falling, with declines of 20% to 25% in categories like tech reviews and health advice. The evaluation still happens, just inside an AI answer instead of across a set of tabs.
Stage 3: Decision & Purchase
AI moves from making recommendations to guiding the decision directly. Search, click, read, decide compresses into a single interaction, so the choice forms faster and across fewer visible touchpoints. By the time a brand would once have entered the picture, the decision is often already shaped.
Stage 4: Post-Purchase & Loyalty
AI is starting to absorb support and retention too, handling questions that once sent users back to a site or help center. But the sharpest behavioral signal still sits earlier: the heaviest AI influence is concentrated in the pre-purchase stages, where the journey is now hardest to see.
That last point is the measurement challenge. The stages AI is reshaping most are exactly the ones traditional tracking renders least visible, because they no longer leave a trail across owned channels and search results. Seeing them requires behavioral data from outside your own ecosystem, observed where the decision is actually forming.
Which platforms benefit from a structural shift in behavior?
AI applications are the obvious winner. Messaging apps are also experiencing surprising levels of growth, despite having extremely high levels of adoption already.
On the other side of the equation, websites built around informational content and comparison research are experiencing noticeable declines. Categories such as tech reviews, health advice, and how-to content are seeing meaningful reductions in reach, with declines of 20% to 25%.
These sites historically sat between the question and the purchase decision. They provided the information layer that helped people evaluate options before making a decision.
As AI tools begin to provide answers directly, that middle layer is becoming less visible within the journey.
For organizations trying to understand how consumers actually make decisions online, these behavioral changes raise an important measurement challenge.
Traditional journey maps assume that research, comparison, and evaluation happen across a sequence of websites, content properties, and search results. As AI interfaces become a primary source of answers, those steps may no longer be observable in the same way.
Consumers are still researching. They are still evaluating options. But the places where those activities happen are changing.
Understanding where AI now sits inside consumer decision-making, and where decisions are formed, is becoming a critical capability for marketing, product, and insight teams.
Because if the journey has changed, the strategies built around it will need to change as well.
The AI customer journey is the path a consumer takes from question to decision when AI tools sit inside that path. Instead of moving through searches, clicks, and review sites, the user gets answers directly from AI interfaces that read intent in real time. Research, evaluation, and decision still happen, but they compress into far fewer interactions, often one.
AI is compressing the research and discovery stages into single interactions. Users now run 50% more Google searches than a year ago and open AI apps three times more often, while traditional review and how-to sites see reach fall 20% to 25%. The journey of search, click, read, decide is collapsing into one step, with the answer arriving in the search result or AI app itself.
AI removes steps between question and answer. It reads intent, interprets context, and delivers a direct response, so users reach decisions faster and with less friction than moving across multiple sites. For consumers this means quicker resolution; for brands it means fewer touchpoints in which to be present.
AI customer journey mapping is the practice of charting how consumers move from question to decision when AI interfaces mediate that path. Traditional maps assume research and evaluation play out across a visible sequence of sites and searches. As AI absorbs those stages, mapping now depends on behavioral data that can observe where decisions actually form, rather than the touchpoints that used to mark them.
No, not yet. Search activity is rising, not falling: the average user runs 40 Google searches a month, up from 27 a year ago. What has changed is the nature of those searches, which are longer and more conversational, with 14% now starting with a question word. AI is reshaping search rather than replacing it.
Brands enhance the journey by being present where AI now forms decisions. That means optimizing to be cited in AI answers and AI Overviews, sharpening discovery for conversational queries, and using behavioral data to see the pre-purchase stages that AI has made harder to track. The goal is relevance inside the environments where users already spend their attention.
Behavioral data shows what people actually do online rather than what they report. It reveals that AI is concentrating attention into fewer environments, bypassing the sites that once sat between question and purchase, and forming decisions earlier and faster than traditional journey maps assume. These shifts are visible only through observed activity across apps, search, and content, not through surveys or first-party analytics alone.
Billy leads RealityMine®’s product roadmap, ensuring it meets the evolving needs of clients across industries. He joined RealityMine in 2018 and has worked in the digital behavioural data space since 2011. With a passion for solving complex measurement and business challenges, Billy plays a key role in shaping solutions that help clients make smarter, more confident decisions.
