L2T launches GEO tools to help dealerships stay visible in AI search
L2T’s new GEO package tracks how dealerships show up in AI answers, from citations and sentiment to referral traffic and market share.

L2T is trying to turn AI search visibility into something dealers can actually measure, not just talk about at the next marketing conference. The automotive ad tech company rolled out a package of GEO tactics and LLM reporting on June 15 to help dealerships stay visible on platforms like ChatGPT and Google AI Overviews, pushing past traditional SEO into a more explicit playbook for AI-generated answers.
The pitch is practical: show dealers where they appear when shoppers ask conversational questions, then connect that visibility to inventory, local listings, reviews, model pages and attribution reporting. L2T said the new reporting layer can track AI Overview keyword strategy and citation count, referral traffic from leading LLMs, brand sentiment in AI search results, AI market share versus competitors and prompt visibility. That matters because it takes GEO out of the buzzword bucket and puts it into an operating dashboard dealers can compare against the stores next door.

L2T also said it is folding GEO into existing SEO packages so dealerships do not have to buy a separate stack to compete in both traditional search and AI-generated answers. The tactics include llms.txt implementation, GEO-optimized schema, GenAI-driven content creation and tighter review-management strategies aimed at improving positive sentiment in AI results. For dealerships, the obvious target is the content that AI systems can digest fastest: inventory feeds, model pages, local business listings and review signals that shape whether a store looks credible in a conversational search result.
David Weisman, L2T’s vice president of operations, said AI is changing how consumers research and choose dealerships, and that the new reporting is meant to help dealers understand and improve their presence in that environment. The company is based in Evanston, Illinois, at 909 Davis Street, Suite 420, and this latest release follows an April 13 update on its Performance Dashboard, which added an agentic AI named Sam and consumer journey reporting. Put together, the two launches suggest L2T is building a broader measurement layer around the dealer funnel, from first question to attributed lead.
The timing fits the bigger search shift. OpenAI says ChatGPT search connects users with original web content, and its shopping research tool, which began rolling out in late 2025, asks clarifying questions and builds buyer’s guides from sources across the internet. Google has kept expanding AI Overviews, including into Workspace search surfaces in 2026. In automotive, that matters because shoppers already do a lot of legwork before they walk into a showroom: Google and Millward Brown found in-market shoppers used 24 research touch points on average, and a separate Google case study tracked more than 900 digital interactions before one lease. NADA’s 2026 materials say tracking AI visibility and brand awareness now matters more than clicks and site traffic. L2T is betting that is not just a theory, but the next dealership KPI.
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