Cox Automotive Data Shows 63% of Shoppers Will Use AI — Only 29% of Dealers Are Ready

Sixty-three percent of vehicle shoppers plan to use AI for their next purchase. Only 29 percent of dealers have begun adjusting to AI-powered search. That gap comes from a new Cox Automotive AI in Auto Retail Tracker, and it frames the central argument of a new AutoServiceWorld analysis: the automotive aftermarket must prepare for the shift from SEO to GEO — generative engine optimization.

The tracker's dealer-side numbers point to a widening disconnect. The share of dealers who know they need to adjust but have not started rose from 26 to 32 percent. Eighty-two percent of dealers use AI in some form, mostly for task automation and content generation. Yet only 22 percent report the sales growth that 69 percent expect. Tools are adopted. Impact goes untracked. Results are assumed rather than confirmed.

What does the new-vehicle data mean for parts sellers?

The Cox data covers new-vehicle retail, not parts. AutoServiceWorld reports hearing the same disconnect from aftermarket clients: AI tools deployed, results unmeasured. The author's argument is that the aftermarket will likely repeat the dealership pattern within a year or two.

The instinct, the analysis notes, is that fitment complexity protects the parts business. A brake rotor is not a running shoe. AI cannot casually recommend one without year, make, model and trim. The author's verdict: wrong. "Complexity does not block AI mediation. It raises the bar for who gets recommended while lowering the bar for misleading or false information."

A second data point broadens the consumer side. Survey data from global consulting firm Oliver Wyman, spanning nearly 300,000 respondents, found that 62 percent of consumers across generations have already used AI to find and purchase products.

Why zero-click shopping hits Canada's aftermarket harder

Canada's online parts presence and penetration have run weaker than in most advanced economies. Historically, that gap cost visibility and price transparency — a smaller share of a smaller pie. Under AI-mediated shopping, the analysis argues, the gap becomes closer to structural exclusion.

The zero-click, AI-first customer may never land on a retailer's website. They may never see the merchandising, the pricing ladder or the brand story — only whatever the AI decided to repeat. An agent summarizing "best oil filter for a 2021 RAV4" pulls from whoever has clean, crawlable, structured data. A thin digital catalogue is not just harder to find. In the future, it may not be found at all.

How does GEO differ from SEO?

The common thread across the value chain is GEO replacing SEO as the operative discipline. SEO optimized for ranking and click-through. GEO optimizes for becoming a source that an AI model cites or paraphrases — often without ever sending a click. Brand mentions inside citations become the new impression, whether the shopper visits the site or not.

The prescription differs by position in the market:

• Distributors and retailers. ACES/PIES compliance is no longer a back-office exercise. Clean fitment attributes, OEM cross-references and structured feeds are the entry ticket to being legible to an AI agent at all.
• Workshops. Local visibility shifts from keyword-stuffed service pages toward structured business data: service menus, schema markup and FAQ content that answers diagnostic questions directly. "Who performs ADAS calibration near me?" gets answered from structured profiles now, not backlink counts.
• Suppliers. Marketing moves from optimizing for search rank to optimizing for citation. Machine-readable spec sheets and technical content that answers "Why does X fail?" or "What is the best X for Y?" get pulled into AI summaries. Budgets built entirely around SEO keyword strategy optimize for a channel shrinking as a share of discovery.

What happens next?

The analysis stops short of a verdict on AI-mediated shopping becoming the dominant discovery channel for parts. The likely outcome sits somewhere between dominance and a layer alongside search, marketplaces and counter relationships.

The cost asymmetry is the closing argument. Getting the catalogue and content foundation right now costs relatively little, especially with new AI tools available. Rebuilding it after the gap has widened — after AI agents have already learned to route around a business — will not. Watch whether follow-up Cox tracker waves show the 29 percent adaptation figure rising, and whether the aftermarket repeats the pattern on the author's one-to-two-year timeline.