Third-Party Gen AI Outpaces Brand Chatbots in Customer Service

What happened

Consumers are turning to general-purpose generative AI tools — most notably ChatGPT — for customer service queries at roughly twice the rate they did a year ago, while brand-owned and retailer-built chatbots have recorded no meaningful growth in adoption since 2022. The divergence, reported across Marketing Dive and Retail Dive, signals a structural shift in where customers choose to resolve problems and gather product information.

Rather than navigating a brand's own digital support channel, a growing share of consumers are bypassing those touchpoints entirely and querying third-party large language models directly. The implication is that brands are losing visibility into a significant slice of customer intent — and losing the opportunity to shape the experience at a critical moment in the decision or resolution journey.

Why it matters

For CX and service-design practitioners, this is a classic case of the path of least resistance winning. Behavioral economics tells us that when effort asymmetry exists — when one option is noticeably faster, more conversational or more capable than another — customers will route around friction without a second thought. Brand chatbots, many of which remain scripted or narrowly scoped, are simply not keeping pace with the fluid, context-aware responses that general-purpose AI tools now deliver. The customer's bar has been reset, and it was reset by tools the brand does not own or control.

The service-design risk is compounded by an information gap. When a customer resolves a query through ChatGPT rather than a brand's own channel, the brand receives no signal: no transcript, no satisfaction score, no insight into what was asked or what answer was given. That dark data represents a growing blind spot in voice-of-customer programmes and, potentially, a source of misinformation if the third-party model returns inaccurate product or policy details.

By the numbers

• 2× — the approximate rate at which consumers are using third-party generative AI tools for customer service compared with the previous year.
• Zero meaningful growth in brand-owned chatbot adoption recorded since 2022, despite significant investment in conversational AI by retailers and brands.

The Renascence take

Most brands will read this data as a prompt to upgrade their chatbot. That misses the deeper issue: customers are not rejecting chatbots because of the interface — they are rejecting them because of the quality of the answer and the effort required to get it. Patching a legacy bot with a generative layer will not close that gap if the underlying knowledge architecture, tone and scope remain constrained.

The real competitive threat here is not ChatGPT as a product — it is the expectation of effortlessness that ChatGPT has normalised. Brands that treat this as a technology procurement problem will keep losing ground; those that treat it as an experience-design problem will ask harder questions about what their support channel is actually for, what it knows, and how much autonomy it is given to genuinely resolve rather than deflect. The behavioral principle is simple: customers do not owe brands their patience. When a better answer is one tab away, loyalty to a brand's own channel evaporates. Customer-obsessed operators should audit their support journeys now — not for bot sophistication, but for answer quality, resolution rate and the felt effort of every interaction.