BFJ Digital report says ChatGPT and Google serve different buying roles

BFJ Digital has released a behavioural report arguing that conversational AI and search engines are being used for different parts of the customer journey, with ChatGPT handling research and Google handling transaction-ready queries. The findings could force marketers to rethink budgeting, attribution and how they show up across AI and search platforms.

Why it matters: - BFJ Digital says the report challenges a growing industry assumption that conversational AI can replace search engines. - The firm argues that treating all digital traffic as having the same buying intent can push customer acquisition costs higher. - Brands that ignore AI-led research behavior risk missing buyers before they move to search and complete a purchase.

What happened: - BFJ Digital, an Australian digital transformation and performance analytics firm, released a behavioural report on consumer interaction patterns across AI interfaces and traditional search networks. - The report says ChatGPT is being used mainly for exploratory research, synthesis and comparison work. - The report says traditional search engines still dominate when consumers are ready to buy. - BFJ Digital published a digital maturity audit invitation for businesses seeking more information on user intent frameworks.

The details: - The report says users rely on conversational AI to evaluate complex criteria, summarize product specifications and compare technical attributes across industries. - BFJ Digital says this makes AI a research partner rather than just a navigation tool. - The report says users return to standard search bars at the buy-now stage because search offers lower friction, local relevance and direct checkout paths. - BFJ Digital identifies three operational shifts for marketers: - Corporate websites should structure data in enough detail for AI models to synthesize and recommend brands accurately during research. - High-intent search spend should focus on transactional keywords, while top-of-funnel marketing should build brand presence in the datasets that train AI models. - Analytics systems should track the full journey, including users who research on AI and then purchase through search.

Between the lines: - The report suggests marketing teams may need to separate “research intent” from “transactional intent” instead of treating one channel strategy as enough. - BFJ Digital says companies with complex or multi-step sales cycles face the biggest risk from outdated conversion models. - The analysis implies AI visibility is becoming a brand-discovery problem, not just a traffic problem.

What's next: - BFJ Digital says businesses need to update their data strategies to match how people move between AI and search. - The firm says corporate teams should reassess how they measure digital touchpoints across longer buying journeys. - BFJ Digital says brands that keep using outdated conversion models may struggle to sustain commercial growth.

The bottom line: - The report’s core message is simple: AI tools may shape early-stage buying decisions, but search engines still close the deal.