How Artificial Intelligence Is Transforming the Consumer Buying Journey

For a long time, marketers believed in the idea of an “average consumer” — someone who learned, researched, and made decisions in predictable ways.

Of course, each generation had its own references:

Baby Boomers grew up fascinated by television, searched for answers in books, and relied on what experts said and on what major media validated.

Generation X built bridges between the analog and digital worlds, becoming the first to replace encyclopedias with Google searches and to realize that information could be just one click away.

Millennials witnessed dial-up internet evolve into social media, made YouTube and Instagram part of their daily lives, and watched the digital world shift from a mere channel to an integral part of culture.

Generation Z — native to algorithms — was born with social platforms shaping not only their desires and decisions, but also how they learn, think, and interact with the world.

Until the arrival of artificial intelligence, digital marketing relied on stable principles: a linear journey, a predictable path for each audience, and a simple common goal for most companies — being found on social media and on Google.

The top of the search results page is still a major battlefield for brands. But now, beyond appearing on Google, businesses must also appear in AI-generated answers, because increasingly, AI is taking on the role of filter and advisor, recommending and comparing products.

AI-generated responses within the search engine already appear in more than half of all queries. And recently, Google launched the “AI Mode,” a new tab that lets users switch between traditional search and a conversational AI experience.

Decision-making power, once concentrated in traditional search, is now migrating toward the system that interprets the results.

Marketing is no longer competing for positions — it is competing for algorithmic understanding.

This article explores how artificial intelligence is transforming the way people search, decide, and place trust in brands and products.

The New Logic of the Consumer Buying Journey

Until recently, everything revolved around the conversion funnel — attention, interest, desire, action — a model that tried to fit human behavior into a predictable sequence.

Today, there is no longer a straight line between discovery and decision.

A consumer discovers a product by chance in a short video, forgets about it, and days later is hit with an ad. A friend mentions it, they search on Google, watch a review on YouTube, ask an AI to compare options, and ultimately buy it on TikTok Shop, where they find the best discount.

Every decision now results from multiple real-time stimuli that intertwine. The funnel has turned into a living organism, constantly in motion.

And this movement varies by generation.

According to the study A New Buying Journey (Conversion & Mlabs, 2025):

59.5% of Gen Z already uses AI as their first research step
87% of young people discover products on Instagram
Millennials move fluidly between Google, marketplaces, and reviews
Gen X sticks to traditional search, prioritizing clarity and reputation
58% of Baby Boomers still trust television as their main source of validation

In other words: a brand must exist on TikTok for Gen Z, on Google for Gen X, in marketplaces for Millennials, and at the same time remain relevant in the physical world for Boomers.

This doesn’t mean being everywhere. It means understanding how each generation interprets each channel — and tailoring the narrative to its context.

That’s why:

It’s not enough to optimize for Google.
It’s not enough to be active on every social platform.

You must be relevant at every touchpoint.

This is the new logic of consumption: nonlinear, unpredictable, and deeply influenced by artificial intelligence, which stitches all these behaviors together into a continuous flow of discovery, evaluation, and decision.

Why Old Metrics No Longer Explain Consumer Behavior

Many brands still insist on measuring results by clicks or last-touch attribution, ignoring the true engine of decision-making: the diffuse influence built across multiple touchpoints.

By measuring only what is traceable — clicks, views, leads — companies see only what pixels can capture. And they fail to recognize what truly drives people: emotion, context, and trust.

According to Bain & Company (2025), purchase decisions today are 2.7× more influenced by credibility than by promotional factors. Yet 68% of companies still concentrate budgets on performance media.

This mismatch generates what experts call conversion myopia — an excessive focus on immediate results that undermines long-term growth.

The rise of artificial intelligence is exposing this weakness.

According to Seer Interactive (2025), organic CTR dropped from 1.41% to 0.64% in searches showing AI Overviews. Meanwhile, seoClarity (2025) reports that these AI blocks appear in 30% of desktop searches in the U.S.

This phenomenon, known as zero-click behavior, means users get what they need directly from the AI answer — without visiting any site.

As a result, the click is no longer the main indicator of success. What truly matters now is how well your brand is understood and referenced within the AI-mediated information ecosystem.

The strongest brands are not the loudest ones. They are the most coherent — the ones that build consistent presence and enough trust to be remembered by intelligent systems.

How Artificial Intelligence Understands and Influences Consumers

AI models like ChatGPT are not simple search engines. They interpret context, learn from billions of texts, and build a probabilistic understanding of how concepts connect.

This means that when answering questions, AI doesn’t simply locate information — it reorganizes knowledge based on semantic patterns. Instead of “showing links,” it delivers synthesis, opinion, and direction.

And this is where consumer behavior changes profoundly. AI becomes a filter that separates noise from relevance.

Instead of searching “best budget phone 2025” on Google, many users now ask:

“What’s the best phone for someone who works with video and doesn’t want to spend more than $800?”

The question is more specific — and so is the answer.

AI understands intention, context, and emotion. It interprets the consumer, not just their keywords.

And this has deep implications for marketing. We are entering a moment where brands no longer compete for keywords, but for positions inside AI interpretation.

How to Earn Presence Inside AI-Generated Answers

According to a 2025 study published on arXiv, automated response models mention brands 3.2× more often when they maintain consistent semantic presence across multiple channels — even without direct links.

This means digital authority no longer depends only on technical SEO, but on how a brand builds multichannel presence and how that presence is understood and validated across the digital ecosystem.

This is where a new strategic field emerges: Generative Engine Optimization (GEO).

GEO is essentially the evolution of SEO — but now adapted for generative engines, marketplaces, and AI shopping assistants. While traditional SEO optimizes for search pages and is driven by keywords, GEO optimizes for answers and is driven by meaning.

For companies, the challenge is to structure content, narratives, data, and mentions so that generative models:

understand who the brand is

learn how it is positioned
relate what it offers to real search contexts
and feel confident recommending it

Generative engines build answers based on how brands appear across data, mentions, reputation, and the overall context of the web.

Three factors are critical:

Message clarity - AI must clearly understand what your brand represents, how it positions itself, and who it serves.
Presence consistency - The same narrative needs to appear consistently across social media, websites, ads, videos, blogs, and media.
Verified reputation - AIs cross-check external signals: reviews, comments, articles, real engagement, and positive mentions.

The study A New Buying Journey (Conversion & Mlabs, 2025) shows that brands with high semantic consistency are up to 60% more likely to be mentioned in automated responses.

Additionally, 64% of consumers automatically associate trust with brands that are frequently “talked about” and easily surfaced by AI.

To build this type of presence, three strategies are essential:

Topical Authority - Build a content ecosystem that demonstrates genuine mastery of a topic.
Topic Clusters / Contextual Interconnection - Connect articles, channels, and publications to reinforce your brand’s semantic footprint.
Entity Mentions - Earn mentions in credible external sources — even without backlinks. AI values coherence more than links.

The more a brand is cited by people and trusted data sources, the more it appears in generative responses.

This creates a dual dynamic:

Human popularity → memory, preference, word of mouth
Algorithmic popularity → presence, relevance, AI recommendation

The strongest brands will be those that balance both layers. This marks the beginning of the most important battle in modern marketing: not for clicks, but for interpretation.

Semantic Branding and Reputation: The New Language of Relevance

Semantic branding is the practice of structuring a brand’s identity and communication so it is understood simultaneously by people and algorithms.

Branding becomes a linguistic architecture — a system of signals that AI uses to recognize and contextualize a company.

When a brand maintains coherence across its content, social media, products, and experiences, it starts being associated with specific themes and values in the digital landscape.

Example:

A brand that continually talks about “smart marketing” and “next-generation marketing” gradually becomes recognized as a reference at the intersection of technology and human creativity.

AI learns to associate these concepts with the brand and begins citing it in relevant contexts, as if saying: “this is a trusted voice on this topic.”

This is how digital authority shifts from paid ads to semantic coherence — the consistent and intentional repetition of a message across multiple formats and channels until it becomes part of the brand’s identity within the AI ecosystem.

However, AIs do not trust only institutional texts. They validate information by cross-checking multiple sources: reviews, articles, posts, comments, reports, and even technical documents.

Each legitimate mention becomes a node in the brand’s credibility graph.

That’s why publishing studies, research, and reports is not just branding — it is reputation engineering.

AI reads and recognizes this type of material as a signal of trustworthiness. The more evidence of authority a brand produces, the more often it is included in AI summaries and responses.

When AI Becomes a Shopping Channel: Walmart + ChatGPT Case

In October 2025, Walmart announced a strategic partnership with OpenAI to allow customers to shop directly inside ChatGPT through the “Instant Checkout” feature.

This marks a concrete shift in how brands connect with consumers. The traditional e-commerce flow — site → search → navigation → cart → checkout — is replaced by a far more fluid experience where users simply chat and buy.

Instead of typing a product, a customer can say:

“plan my dinner,” “restock my essentials,” or “surprise me with something new.”

ChatGPT, integrated with Walmart’s catalog, understands the context, suggests options, processes payment, and schedules delivery — all without the user leaving the conversation.

This experience goes beyond discovery. AI is now taking its first steps toward becoming a direct purchase channel.

Everything indicates that, in the future, brands that cannot be surfaced by AI will simply cease to exist in consumer choices.

Do you know what AI would say about your brand if someone asked about it today?

Sources & References

Bain & Company (2025) – Consumer Trust & Purchase Decisions Report: Shows that buying decisions are 2.7× more influenced by credibility than promotions.
Seer Interactive (2025) – AI Overviews Impact on Organic CTR: Analysis of declining organic CTR in results containing AI blocks.
seoClarity (2025) – The State of AI Overviews: Reports that AI blocks appear in 30% of desktop searches in the U.S.
Conversion & Mlabs (2025) – A New Buying Journey: Shows that brands with semantic consistency are up to 60% more likely to be mentioned by AI systems.
arXiv (2025) – Automated Response Models and Semantic Consistency in Brand Mentions: Study connecting semantic presence to frequency of brand citations in AI responses.
Walmart Corporate Newsroom (Oct. 2025) – Official announcement of the Walmart + OpenAI partnership and the “Instant Checkout” feature.
Business Wire (2025) – Article on Walmart’s AI-first shopping experience.
TechRadar (2025) – Technical analysis of the “Instant Checkout” feature and its impact on user experience.
Luca Cian, Darden School of Business (2025) – The Trust Factor in AI Recommendations: Study on the role of credibility in AI-recommended brands.