• Understand why dealers are finally moving past theoretical "innovation theater" and into real implementation
• See how leading groups are integrating platforms vertically across the dealership for actual decision-making
• Learn how CXO-level insights are elevating conversations at MRC and DMSC
• Get clarity on how education, not tools, is driving the biggest shifts in automotive
• Hear Zach's breakdown of AI myths, dealership misconceptions, and the real behavior patterns behind LLM vs Google search
• Discover why chasing "step 47" tech is derailing fundamentals like CTAs, processes, and actual customer experience
• Walk away with a clear understanding of what deserves dealer attention in 2025 — and what doesn't

Can Atlas Really Change the Car-Buying Journey?

In this episode of In Search of Insights, Dan Barker and Wikimotive Co-Founder Zach Billings unpack the hype surrounding OpenAI's newly released Atlas - and what (if anything) it means for automotive dealers right now. Is Atlas the beginning of a fundamental shift in how shoppers discover, research, and buy vehicles? Or is it just another AI headline with no real-world impact… yet? Dan and Zach dive deep into LLM adoption, schema problems across dealership websites, consumer behavior inside LLMs vs Google search, and the realities behind OEM claims about AI.

Why Watch

• Understand the real status of Atlas - beyond the headlines
• Learn why LLM-powered shopping journeys still break down at the transaction stage
• See how schema failures across ALL major automotive website platforms impact LLM accuracy
• Get clarity on why Google's AI Overviews aren't the threat many OEMs are claiming
• Hear early insights from upcoming MRC research on LLM vs Google traffic, conversions, and behavior
• Walk away with a grounded understanding of what's real, what's hype, and what actually matters heading into 2025

In This Episode

00:00 – Intro: Welcome to In Search of Insights

00:40 – First impressions of Atlas: breakthrough or nothing-burger?

03:05 – Why big AI announcements rarely change anything immediately

05:10 – Adoption barriers: devices, OS limitations, and early access friction

07:45 – Schema 101: what it is and why dealers should care

10:15 – The wetsuit test: when LLMs misread product data

12:25 – Automotive inventory problems: transient data and broken LLM links

14:50 – The real consumer path: LLM for research, Google for transaction

17:20 – How shoppers refine choices inside an LLM (truck research example)

20:10 – Why 90–99% of consumers still return to Google to complete the journey

22:40 – Early study preview: LLM traffic vs Google vs Bing across 150 dealerships

24:50 – OEM messaging vs reality: the truth about Google AIO usage

27:00 – Trust factors: why consumers prefer organic results over AI answers

28:35 – The rush to "newer = better" and the consequences for automotive

30:10 – Closing thoughts & preview of MRC discussion

31:17 – Episode wrap-up

About In Search of Insights

A monthly, no-fluff snapshot of the automotive marketing landscape - designed for dealership stakeholders, management, and marketers who want clarity, not hype.

Subscribe to get data-driven insights and candid conversations delivered straight to your feed.

• Learn why dealer websites have become overloaded - and how extra GTM containers, scripts, and legacy tools quietly destroy performance
• Understand ASC compliance: which vendors support it, which don't, and how the lack of standards breaks measurement, CDPs, and OEM reporting
• See why most CTA stacks fail (and which CTAs actually convert on SRP + VDP)
• Hear why 20 Groups often become echo chambers - and what true education and innovation should look like
• Get a candid breakdown of AI in retail: what's real today, what's smoke, and how many AI tools a dealership can realistically manage
• Learn the mindset shift every GM and marketing leader needs to make to survive data-driven retail