Aftermarket must prepare for the shift from SEO to GEO

The shopper researching your parts inventory might not be human.

That is not speculation. A widening gap is emerging on the vehicle-sales side of the business, and there is no reason to assume aftermarket parts are immune to the same shift.

A new Cox Automotive AI in Auto Retail Tracker found that 63 per cent of vehicle shoppers plan to use AI for their next purchase. But only 29 per cent of dealers have begun adjusting to AI-powered search. The share of dealers who know they need to adjust but have not started actually rose from 26 to 32 per cent.

The same tracker found that 82 per cent of dealers use AI in some form, mostly for task automation and content generation. Only 22 per cent report the sales growth that 69 per cent expect.

This is new-vehicle data, not parts data. But I am hearing the same disconnect from clients on the aftermarket side: tools adopted, impact untracked, results assumed rather than confirmed.

The instinct is that fitment complexity protects the aftermarket. A brake rotor is not a running shoe; AI cannot casually recommend one without year, make, model and trim. Right? Wrong. Complexity does not block AI mediation. It raises the bar for who gets recommended while lowering the bar for misleading or false information.

The zero-click shopping experience

There’s growing evidence that customers are using AI for shopping activities. Survey data from global consulting firm Oliver Wyman, spanning nearly 300,000 respondents, found that 62 per cent of consumers across generations have already used AI to find and purchase products.

Canada’s online parts presence and penetration have been comparatively weaker than those in most advanced economies. Historically, that gap has been a nuisance — lost visibility, softer price transparency, a smaller share of a smaller pie. Under AI-mediated shopping, it becomes closer to structural exclusion.

The zero-click, AI-first customer may never land on your website; they may never see your merchandising, your pricing ladder or your brand story — only whatever the AI decided to repeat.

An AI 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.

The reaction will differ by your spot in the value chain, but the common thread is GEO — generative engine optimization — 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.

Preparing for the agentic shift

For distributors and retailers, that starts with the catalogue itself. 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.

For workshops, GEO shifts local visibility away from keyword-stuffed service pages toward structured business data: service menus, schema markup and FAQ content that answers diagnostic questions directly rather than burying them in a blog post nobody clicks. “Who performs ADAS calibration near me?” gets answered from structured profiles now, not backlink counts.

For suppliers, the marketing shift is from optimizing for search rank to optimizing for citation. Machine-readable spec sheets and technical content that directly answers questions such as “Why does X fail?” or “What is the best X for Y?” get pulled into AI summaries. Brand mentions inside those citations are the new impression, whether the shopper ever visits the site. Marketing budgets built entirely around SEO keyword strategy are optimizing for a channel that is shrinking as a share of discovery.

It is too early to say whether AI-mediated shopping will become the dominant discovery channel for aftermarket parts or simply another layer alongside search, marketplaces and counter relationships (probably somewhere in between). But it’s safe to assume the gap Cox Automotive is documenting in new-vehicle retail is a pattern the aftermarket will likely repeat in a year or two.

Getting the catalogue and content foundation right now costs relatively little, especially with the availability of new AI tools. Rebuilding it after the gap has widened, and after the AI agents have already learned to route around you, will not.