The traditional marketing funnel is dying, and artificial intelligence is the one pulling the plug.

That is the central argument of a new whitepaper from global marketing giant Dentsu, titled Beyond the Funnel: How AI Commerce is Redefining the Customer Journey. The report serves as a wake-up call for brand managers, CMOs, and GTM strategists who are still anchoring their playbooks to the awareness-to-conversion logic. The numbers alone tell a story worth pausing for: nine in ten CMOs globally say AI is already reshaping their go-to-market strategies. Yet most organisations are still catching up with consumers who moved first.

So what exactly has changed?

For decades, marketing operated on a simple belief: that consumers move through stages. Awareness leads to consideration, which leads to a decision. Brands compete at each stage for attention, relevance, and ultimately, the sale.

AI has dismantled this sequence entirely. Today, AI systems, such as ChatGPT, Gemini, Perplexity, Microsoft Copilot, etc., prestructure choices before a consumer even frames a question. Rather than exploring ten product pages, a shopper simply tells an assistant: “I need a luxury, eco-friendly casual ladies purse under $100.” Within seconds, the system surfaces three models. The decision frame is already set before any brand-owned touchpoint is ever visited.

Dentsu describes this as the collapse of awareness, consideration, and evaluation into a single, system-mediated moment. Consumers, as a result, now encounter outcomes, not steps. This is not a technical shift. It is a commercial one with enormous strategic consequences.

There is a meaningful distinction the report draws out clearly, and it is one many marketing teams are still not internalising: visibility and recommendation are no longer the same thing.

In the search era, appearing on page one was the game. Visibility was a competitive advantage. In the AI era, however, a brand can be fully visible and still never surface in a recommendation. The new competition happens upstream, inside filtering and ranking systems, long before any human interaction occurs.

Dentsu introduces a term for this new metric: AI Visibility, defined as how frequently a brand is referenced or recommended across major AI model outputs within a given product category. It measures presence within decision-shaping responses, not website traffic. Critically, it captures exposure, not preference or sentiment.

Brands, therefore, must now prove credibility, consistency, and contextual fit within the signals that large language models use to evaluate and recommend. And those signals, the report argues, come not from slick campaigns, but from the coherence of an entire brand system.

Perhaps the most practically useful section of the Dentsu report concerns how large language models decide what to surface.

The answer, it turns out, is less about paid media and more about earned authority. A Semrush study of 325,000 AI prompts, conducted across January and February 2026, reveals that the top domains cited in LLM responses are Reddit, LinkedIn, Wikipedia, and YouTube. Editorial platforms, community forums, and peer-reviewed sources dominate.

This points to an emerging discipline Dentsu calls GEO, Generative Engine Optimisation, which it describes as interdisciplinary and far broader than SEO 2.0. Brands that invest in publisher partnerships, editorial credibility, and content that is fact-checked and structurally sound will be the ones LLMs trust. Short-term ad spend and campaign bursts, by contrast, generate noise, not the kind of consistent signals AI systems reward.

The message is pointed: optimisation tricks no longer work at the frontier, rather authority does.

The most underappreciated argument in the report is structural. Dentsu points out that AI systems evaluate brands holistically, reading across marketing, commerce, CRM, product, and service as a single entity. Any inconsistency between these functions lowers trust, reduces eligibility, and ultimately makes a brand less likely to be recommended.

This means that fragmentation is not just an internal inefficiency. It is a competitive liability.

For organisations, the shift demands five areas of readiness: building machine-readable signals through first-party data and schema markup; managing earned authority across editorial and publishing platforms; creating AI-consumable content structures (FAQs, technical specs, comparisons); tracking incremental impact through log-level data; and embedding governance so humans stay in the loop where ethics and risk demand it.

Governance, importantly, is not framed as a constraint here. It is framed as the foundation for scalable trust.

Three conclusions emerge from the Dentsu analysis, and they deserve to sit on every marketer’s wall.

First, decision readiness now matters more than demand generation. Brands win not by triggering intent, but by being structurally ready when AI assembles the shortlist.

Second, consistency is the new differentiator. AI systems reward clarity and coherent behaviour over time, not campaign brilliance or channel dominance.

Third, the human element is non-negotiable. As purchasing becomes more automated, trust, transparency, and fairness become more decisive, not less. The shopping journey is, as Dentsu’s Markus Caspari puts it, becoming less emotional. That means strong brands, those with genuine meaning and reliable delivery, will be the ones that survive the algorithmic shortlist.

The future of commerce, the report concludes, will not be won by those who automate fastest. It will be won by those who automate responsibly and consistently,  earning the right to be recommended, rather than just the budget to be seen.

Beyond the funnel is not a trend. It is the new operating condition.