Understand how AI-referred buyers arrive
An assistant-recommended buyer behaves differently from a search visitor. They arrive already shortlisted, often typing your brand name directly, and they land deep, on the product, pricing, or comparison page the recommendation implied, not your homepage. They also arrive with borrowed trust: the assistant vouched for you, and your site's job is to not squander that in the first thirty seconds. The mechanics of spotting this traffic are in AI traffic analytics; the conversion consequence is that your money pages, not your homepage, are your real landing pages now, and each one needs a next step visible without scrolling.
Build capture paths for both temperatures
AI-referred buyers split into two temperatures, and each needs its own path. The hot path: someone the assistant sent to solve a problem this week wants a direct route to talking with you, a visible demo or call link with a real calendar behind it, no seven-field form as a toll booth. The warm path matters more and gets built less: the buyer who was named your brand in a research conversation and is weeks from deciding needs a low-friction way to stay in your orbit, a genuinely useful free tool, a calculator, a grader, a newsletter that earns its inbox slot. Our own funnel runs exactly this pattern, the free GEO Grader for warm arrivals and the audit call for hot ones, and the tool consistently out-captures every gated PDF we could have shipped instead. Free tools also compound the visibility loop itself: they earn citations, which earns more recommendations.
Design pages that convert borrowed trust
The assistant told the buyer you might be the answer; your page's job is confirmation, not persuasion. Lead with the direct answer to the moment that sent them, price openly if you can, since assistants increasingly quote pricing and buyers resent the mismatch, and put verifiable specifics where superlatives would go. Every guide and comparison page should carry a mid-content capture appropriate to its intent: tool links on educational pages, call links on commercial ones. This is the same honest-evidence posture that wins the visibility in the first place, covered in how to get recommended by AI: the page that converts AI referrals best is the page an assistant would happily cite.
Count the leads, or the program dies
AEO and GEO leads hide in your CRM as direct and branded-search conversions, which means the program that produced them starves at budget time unless you count deliberately. Three habits close the loop: the how-did-you-hear field with an AI assistant option on every high-intent form, CRM tagging of those arrivals so close rates and deal sizes are reportable by source, and the monthly reconciliation, recommendation share up, branded arrivals up, tagged pipeline up, that turns three correlated lines into a defensible attribution story. Run it for one quarter and you will have the number every marketing leader wants right now and almost none can produce: pipeline per point of AI share of voice, the connective tissue between tracking and revenue.
