The AI recommendation funnel is the buying journey in which a prospect asks an AI assistant for advice, receives a shortlist of products, and arrives at a vendor's site already leaning toward a decision.
Why it matters
This funnel inverts classic SEO logic. In a search funnel, you fight for a click, then convince the visitor on your site. In the AI funnel, the convincing happens inside the model's answer: ChatGPT, Claude, or Perplexity compresses dozens of sources into a shortlist of two or three names, and buyers rarely argue with it. Traffic from AI assistants tends to be low-volume but high-intent, because the visitor was effectively pre-sold. If your brand isn't in the training data and cited sources, you're not losing a click, you're absent from the consideration set entirely, a gap that shows up as dark social-style attribution blindness.
How to use it
- Map your funnel's top: identify the 10-20 prompts a buyer in your category would actually ask an AI, and run prompt tracking against them.
- Optimize the middle: seed and strengthen the third-party sources (Reddit threads, comparison pages, reviews) that models cite when shortlisting.
- Measure the bottom: tag AI referrer traffic and ask "how did you hear about us?" at signup, since standard traffic attribution undercounts this channel.
Related terms
Paul-Marie is the founder of Readyt, the Reddit growth platform for SaaS. He has generated 16K€+ in pre-sales in 2 months using nothing but Reddit, and now helps founders turn Reddit threads into their #1 acquisition channel.
