Your next enterprise buyer may never visit your website. They will prompt ChatGPT instead: “Recommend three enterprise CRM solutions for a mid-sized healthcare company with strict compliance requirements.” Within seconds, an AI-curated shortlist materialises. Your firm is either present, or functionally non-existent.

This is a structural mutation in how enterprise demand is formed.

Yet, marketing teams are optimising for audiences that no longer arrive. My reading of the evidence suggests that visibility has migrated upstream—from human attention to algorithmic selection. The gatekeeper is no longer the buyer. It is the model. Let’s look further.

Focus On: From Search to Selection

According to G2’s 2025 Buyer Behaviour Report, nearly eight in ten B2B decision-makers say AI search has altered how they conduct research, with 29% now initiating vendor evaluation in ChatGPT more frequently than in Google. Forrester’s data is even starker: roughly half of B2B buyers now commence their journey inside an AI assistant, a 71% acceleration in under six months, as outlined in its recent analysis of generative AI–led buying behaviour (Forrester).

This compression is consequential. The traditional awareness phase—once a month-long courtship—has attenuated to roughly fifteen days. Evaluation has collapsed further still, with buyers reaching shortlists in minutes rather than weeks. Efficiency gains of nearly 60% are not anomalous; they are becoming normative.

The generational dimension matters, but it does not explain the velocity. Millennials and Gen Z now constitute close to two-thirds of B2B buying committees, and up to 90% of them employ generative AI during purchasing. Yet senior executives are following the same path. Convenience, not age, is the primary driver.

The New Visibility Problem

Classical SEO was designed for human cognition: narrative flow, persuasive copy, and emotional resonance. The emergent discipline—often labelled Generative Engine Optimisation, or more plainly AI-legibility—demands something orthogonal.

When an executive asks an AI system to compare enterprise platforms, the model does not traverse your funnel. It extracts. It dissects. It recombines. Your brand story is largely immaterial. What matters is whether your information is explicit, unambiguous, and machine-parseable.

As Microsoft’s Krishna Madhavan has noted, the marketer’s task is no longer persuasion but comprehension—ensuring content can be reliably interpreted and cited by machines (Microsoft Advertising Blog). This marks a shift from rhetoric to precision. I remain sceptical that many marketing organisations have fully internalised the implications.

I explored a related inflection point in an earlier issue on machine customers: we are entering a B2M environment where commerce increasingly occurs between systems. In such a context, ambiguity is penalised. Silence is fatal.

Citability as Competitive Advantage

Visibility now correlates directly with citability. Digiday reports that sales influenced by ChatGPT recommendations have increased more than fourfold year-on-year (Digiday). Brands surfaced by AI assistants enjoy a disproportionate advantage—one that is invisible to traditional attribution models.

The corollary is uncomfortable. Market leadership, advertising spend, and brand salience offer diminishing protection if your data footprint is opaque to machines. Conversely, this correction favours challengers. Authority is no longer asserted through budget but demonstrated through clarity.

The oft-cited 95% failure rate of early AI initiatives should be read in this light. It is not an indictment of generative AI. It is evidence that the market is separating signal from noise. Documentation quality, data hygiene, and structural transparency are becoming strategic assets.

What CMOs Must Do Differently

The imperative is architectural. Product specifications, pricing logic, security credentials, and compliance artefacts must be rendered explicit and structured. Schema markup—Product, Organisation, FAQ—ceases to be a technical nicety and becomes a prerequisite. The current benchmark for AI-agent readiness sits near 80%; fewer than half of enterprises meet it.

Sales organisations must also recalibrate. By the time a human conversation occurs, the buyer has already interrogated multiple models. Education is redundant. The value now lies in synthesis, judgement, and contextual application. Your sales team becomes an advisory function, not a broadcast channel.

Websites, meanwhile, require reconstitution. The brochure model is obsolete. High-value pages should function as intelligible service layers: machine-readable, citation-ready, and unambiguous. Optimise for extraction first; engagement will follow.

Next Steps

How do you remain visible when discovery is delegated to machines?

This is not a crisis to be managed but a transition to be anticipated. CMOs who treat AI-first discovery as a transient anomaly will find themselves eroded by invisibility. Those who re-architect their digital presence for algorithmic interpretation will secure an advantage that compounds quietly, but decisively.

The algorithmic gatekeeper is already installed. The only remaining question is whether it recognises you.

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Disclaimer: The views and opinions expressed in Chronicles of Change and on my social media accounts are my own and do not necessarily reflect the official policy or position of S&P Global.