Your customer's buying journey is no longer a straight line. They discover, research, compare, and decide in minutes, often on the same screen, and increasingly with the help of an artificial intelligence (AI) assistant that filters options for them. The path has shrunk and become more demanding: the company that wins is the one recognized as the right solution, in the right context, with the clearest message.
This post rewrites and updates a Google analysis of this new journey, covering what changed in 2026, and connects it to something that seems unrelated but shares the same idea: the method Steply uses to build software, SDD. In the end, both say the same thing: clarity wins.
From a straight line to a compressed path
The old model was predictable. A person became aware of a product, considered the options, and bought, in that order. Today they do everything at once, jumping between social media, video, search, and a store, alternating entertainment and purchase intent in the same session.
AI accelerated this. Customers act on impulse, research deeply in seconds, and decide with more confidence. A paradox even emerges: expensive purchases, like appliances, happen faster, while small purchases gain more research steps. The predictable thing now is the lack of predictability.
This is even more true for complex categories like renovation, travel, health, and financial services. Discovery happens while browsing, the person enters exploration mode on the spot, searches for the best option by price, deadline, and personal criteria, builds confidence through reviews and videos, and buys right there without leaving the platform.
The screens where the decision happens
A simple way to map the new path, created by the BCG consulting firm together with Google, separates four behaviors: watch, scroll, search, and buy. Watching and scrolling open up possibilities and generate discovery. Searching organizes the choices. Buying happens where confidence peaks.
Each part of the ecosystem plays a role. Social media drives discovery, especially for younger audiences. Video is the trust layer, because it shows the product actually working. Retail and marketplaces help with comparison and closing.
The big new development in 2026 is a new layer that inserted itself in the middle of everything: the AI assistant. More and more people open ChatGPT, Gemini, or Perplexity, describe their own situation, and ask for a ready recommendation, skipping much of the traditional search. Who assembles the list of options the customer will consider, today, is often the machine. That changes who you need to convince first.
The three jobs of the brand: create, capture, and convert
Google organizes brand action into three objectives that run continuously, instead of a funnel with a beginning, middle, and end. It applies to any business, from retail to services.
Create demand: make the problem and the solution visible
The shift here is to stop talking about product features and code and start talking about needs and results that matter to the person. The content that works is the "day in the life," the short demo, the podcast mention, the community conversation.
Nike does this by placing its shoes inside training and running apps. The product becomes part of guidance, community, and personal growth, not just a shoe sitting on a shelf. The lesson applies to everyone: build an ecosystem of continuous improvement around the customer, not a one-off sale.
Capture demand: be the best answer when the customer describes their context
Before, the game was to match the right keyword. Now it is to be the best answer when someone explains their own situation, whether to Google or to an AI assistant. This requires content that few get right: honest comparisons, specific frequently asked questions, "best for this case" guides, problem-solving videos, transparent policies.
IKEA answers the critical question "will this fit and work in my home?" with room simulators and detailed data. A good independent comparison tool wins by showing the choice plainly: best for a small apartment, best for pet owners. Content that clear convinces both ends, the person reading it and the algorithm that will recommend you.
In practice, this became a new routine: periodically auditing what the customer finds about your company throughout the entire journey, from social media to video, from retail to the AI assistant. It is the work Steply calls GEO, optimizing to appear inside AI responses, not just on the first page of Google.
Convert demand: remove friction where confidence peaks
Conversion is no longer the final event. It happens the moment confidence is high enough, and it dies at the first friction: unclear pricing, a complicated checkout (the purchase finalization), hidden fees, a confusing return policy, too many steps.
An optician that lets you try glasses at home, with transparent pricing and easy returns, is removing the barrier before asking for the purchase. The tactics are straightforward: cut steps, make shipping and returns obvious, move the buy button closer to the content that builds trust, and offer a low-risk entry, such as a trial, sample, or guarantee.
Brand and sales are not enemies
There is a false conflict between building a brand and driving sales. On the new path, they are the same thing. Brand became the sum of the signals that make your company recognized as the solution: product quality, customer experience, creator and customer recommendations, community reputation, and the clarity and usefulness of your content.
The loudest brand does not win. The one that is easily recognized as the right answer, in the right context, wins. And being recognizable today means being readable by people and machines at the same time.
The connection to Steply's SDD
Here is the part that seems disconnected but is not. Notice the thread running through everything above: in the AI era, vagueness loses and clarity wins. The customer who describes their context to an AI assistant gets back the brand that was described most clearly as the solution for that case. The machine rewards whoever was specific.
That is exactly the principle of the method Steply uses to build software, SDD (Spec-Driven Development). The idea is simple: instead of asking AI to build something vague and hoping for the right result, you first write a clear specification, what needs to happen, for whom, with what rules, and how to know it is right. That specification becomes the source of truth, and AI builds from it, with traceability and validation. Clear request, right delivery. Vague request, rework.
They are two sides of the same coin. On one side, your company needs to be specified clearly to be chosen by the AIs that now guide purchasing decisions. On the other, the experiences that this new journey demands, the IKEA simulator, the honest comparison tool, the frictionless checkout, the support that understands the customer's context, are software, and they need to be built fast and right. That is what SDD delivers: going from a clear idea to a live system without the months-long project that stalls most companies.
The question that matters
The decision journey did not just get more diffuse. It got faster, more compact, and far less tolerant of a lack of clarity. The question that decides everything is direct: do you have the solution for your customer, and can they, or the AI advising them, recognize that on the spot?
Answering yes requires two kinds of clarity. The clarity of the message, to be chosen. And the clarity of execution, to deliver the experience that confirms the choice. Steply works both sides: the GEO that puts your company inside AI responses, and the SDD that builds the experiences behind them. At the core, it is all the same discipline: being clear enough for the machine, and for the person, to choose you.