The customer journey shortens

With AI, awareness and consideration move inside the chats: the user arrives at the service already oriented, often in the conversion phase, after a filtered version of the information the site would have provided first-hand.

The data is consistent. Those arriving from AI referral convert more than organic, although estimates vary widely and are almost all from vendors: Semrush (June 2025) speaks of a rate 4.4 times higher; Adobe measures retail conversions from AI referral 54% higher than non-AI (May 2026 data, was +42% in the first quarter); Ahrefs reports that 0.5% of sessions from AI generate 12.1% of registrations — a differential of about 23×. To be treated as orders of magnitude, not measurements: AI traffic remains under 2% of visits (Datos, first quarter 2026) and attribution is broken upstream.

The estimates are plausibly conservative: many receive the recommendation in chat, search the brand on Google, and buy — conversions attributed to branded organic, with the AI contribution invisible to standard analytics. The Similarweb clickstream study quantifies it: those exposed to a ChatGPT recommendation have 2.5 times more probability of visiting that site within seven days, and 55.9% of those visits come from branded search (versus 40.4% of standard traffic). These visitors also arrive more decided: 12.0 pages in 11.8 minutes, versus 6.5 pages in 5.6 minutes for ordinary visitors (The Downstream Impact of AI Visibility, June 2026 — US desktop only, three verticals, declared correlation and not causality).

The top of funnel becomes less accessible: the AI Overview appears on about half of queries (Google declares ~50%, BrightEdge measures 48-50% in February 2026). When it appears, organic CTR drops — by how much is the subject of twelve independent analyses that agree on the direction and diverge on the magnitude: from −15% (Amsive, 700,000 keywords) to −89% (DMG Media, evidence filed with the UK CMA), with the methodologically most solid measures around −35/−65% (Ahrefs on 300,000 keywords: −34.5% in April 2025, −58% in December 2025 in position 1; Seer Interactive on 25.1 million impressions: from 1.76% to 0.61%, i.e. −65%). The effect goes deep: position 2 −50.8%, position 3 −46.4%, and even position 10 loses 19.4%. In AI Mode over 90% of sessions close without a click (93%, Semrush). The pattern is not confined to commercial and publishing queries: across all Google searches, zero-click sessions rise from 60.45% in 2024 to 68.01% in the first four months of 2026 in the US, with Italy at 63.4% (SparkToro on Similarweb data, June 2026). On the editorial side the aggregate effect is heavy: across over 2,500 monitored outlets, Google referrals fall 33% globally and 38% in the US (Reuters Institute/Chartbeat, 2026).

The same shortening happens in the inbox. Apple Intelligence summarizes the message before opening, effectively replacing the preheader; Gemini in Gmail summarizes after, and to do so opens the email — making the open rate even less reliable than it already was. A new figure emerges, the “informed non-opener”: the user gets the value of the message from the summary and never opens it. It is the same mechanism as the AI Overview applied to a channel thought to be safe — an intermediary inserts itself between content and recipient, produces a synthetic version, and measurable interaction disappears.

A useful exception to know: on e-commerce and shopping queries the AI Overview appears on only 3.2% of searches, after starting from 29% — Google pulled back because generative answers did not convert into sales. The phenomenon now touches navigational and brand queries, much less transactional product ones. Inside the site remain conversion and retention, where attention should be focused; loyalty and advocacy keep traditional dynamics.

The question. What should the traffic arriving from AI produce for us: volume, or customers?

The default by omission. You keep measuring volume, because it is the metric the tools return. And you watch it fall: CTR down between 15% and 89% depending on the source, 93% zero-click in AI Mode, Search Console giving impressions only on the Generative AI reports since June 2026. You conclude the channel is dying, and stop investing in it — while the Ahrefs figure says that 0.5% of sessions produces 12.1% of signups, roughly 23 times the average rate.

The cost of either branch. Changing the metric means giving up the time series and comparability with the rest of marketing: you lose the ability to say “is it better or worse than last year” in exactly the channel where management asks for it most. Not changing it means running the channel with an instrument that measures the wrong part of it, and disinvesting from a high-conversion channel because the big number is small.

Who decides. Digital / Web Analyst together with whoever owns the channel budget. Not the analyst alone: the decision is about allocation, not measurement.

→ a particular case of the cards What AI traffic is worth and Does engagement stay a KPI?.

Effects and role responsibilities

• Digital Strategist / Growth Marketer — Organic acquisition enters structural crisis: work on how to be cited by AI engines and hold the post-search moments. Being cited has a measurable effect: on queries with AI Overview, cited brands get about double the organic clicks per impression (Seer Interactive, 2026). Paid follows the same trajectory: Google introduces ads in AI Mode and AI Overviews, Perplexity sells sponsorships in answers — with open questions on formats, measurability, and the user’s ability to distinguish organic and sponsored recommendations. → Useful resource: How AI Is Changing Search Behaviors — NN/g
• Digital / Web Analyst — Attribution models break, but not in the way usually said. The measured fact is that AI-influenced traffic arrives much less as “direct” (19.9%, versus 38.8% of ordinary traffic) and much more as branded search (55.9%, versus 40.4%): the user receives the recommendation in chat and then searches the brand on Google (Similarweb, June 2026). The effect is real — 2.5 times more probability of a visit within seven days — but invisible to a last-click model, which attributes it to branded organic. You need dedicated channel groups for AI referrers, awareness that “direct” and branded organic are contaminated containers, and an upstream measure of visibility in AI answers. 2026 news: that measure finally has an official source. Since 3 June Search Console offers the Search Generative AI performance reports, with impressions inside AI Overviews, AI Mode, and the generative features of Discover — for now only impressions, without clicks, CTR, average position, or queries, and with the three surfaces aggregated. → Useful resources: Your analytics are lying — Similarweb via PPC Land; Search Generative AI performance reports — Google Search Central
• AI Visibility Analyst — An autonomous measurement discipline is born: whether and how much the brand appears in generative answers. The SparkToro/Gumshoe study (27 January 2026, 2,961 runs across ChatGPT, Claude and Google) shows that ranking position is not measurable (the same question repeated a hundred times changes order and composition), while share of presence across a broad, intent-built prompt set repeated over time is stable and informative. The operational task is to version that set and separate synchronic volatility (same question, different answers at the same moment) from diachronic volatility (40-60% of cited domains change within a month). → Useful resources: AIs are highly inconsistent when recommending brands or products — SparkToro; LLM monitoring tools — Semrush
• CRM / Email & Lifecycle — If a growing share of messages is read in summary, the message must be designed so the summary works: essential information and call to action in the first lines, one message per email, clean semantic structure (real headings, no text inside images), a subject that does not depend on the preheader to be understood. On the measurement side, the open rate must be demoted from KPI to weak signal: move judgment to clicks, conversions, and replies, and consider a declining open rate not necessarily a worsening. To test explicitly: how your email appears once summarized by the main clients. → Useful resources: AI summaries in email clients — Stripo; AI-Mediated Inbox Environments — PMA
• Product / UX Designer + Content Designer — The landing page must presuppose an already oriented user, not an exploratory one: they arrive with fewer questions and more expectations, and go twice as deep if the content holds up.