Stop optimizing for a funnel that has already moved to AI-driven purchasing decisions.
The latest consumer and B2B buying data points to a hard, irreversible pivot: the majority of purchase decisions now start inside a GPT or LLM, not on a brand’s website, and not on Google. Buyers are skipping the top-of-funnel entirely. They open a chat window, ask for a shortlist, and let AI do the filtering.
According to recent data from First Page Sage and Yotpo, over 50% of consumers now use generative AI to support purchase decisions. For B2B procurement teams, AI isn’t a novelty, it’s the default first stop for vendor discovery.
Here is why this shift to AI-driven purchasing decisions demands immediate attention: AI doesn’t browse your website the way a human does. It synthesizes, it summarizes, and most importantly, it acts as a ruthless gatekeeper.
If your brand is not in the top two or three names an LLM generates in that initial response, the consideration set is effectively closed. The buyer never clicks. They never see your case studies, your pricing, or your carefully optimized landing pages. The deal is won or lost inside a chat interface before your traditional marketing funnel even registers that a lead exists.
Yet, look at the tools marketing teams use to measure brand health. Legacy brand trackers are built on surveying human recall. They are fundamentally incapable of measuring an algorithmic rejection. Right now, it is entirely possible for a company to have strong brand awareness scores in a tracker, while simultaneously being completely invisible to the LLMs that are actively filtering them out of actual purchase decisions.
This is the blind spot Presciant has solved.
The buying landscape has fractured into three distinct buyer types, and only one is visible to legacy measurement: → The traditional buyer (who still goes to Google) → The AI-mediated buyer (whose shortlist was shaped by AI before they ever touched a search engine) → The autonomous AI agent (making shortlisting decisions on a human’s behalf, completely invisible to surveys)
Presciant has developed a measurement framework purpose-built to track brand health inside AI systems. It sits across two layers: one that tracks what is actually happening to your brand in AI (visibility, sentiment, and whether you get recommended when it counts), and one that diagnoses why it’s happening (which sources AI is pulling from, which purchase drivers it associates with you versus competitors, and whether it is describing your brand accurately at all).
The mechanics of the framework stay proprietary. But the early data is stark. Presciant is finding established category leaders brands that dominate traditional search losing the AI recommendation when it actually matters.
If your brand is not being recommended by AI, you are not just losing traffic. You are being structurally excluded from the market.
If you’re a CMO, VP of Marketing, or Brand/Insights lead and you don’t have a clear, data-backed answer to “what is ChatGPT/ Claude/ Gemini telling buyers about us?”, that isn’t a future problem. It’s a current one.
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