5W AI Communications published an AI answer citation index for the electric vehicle category on July 25, and the headline number is a reminder of how concentrated visibility inside chatbots already is: Tesla accounts for 18.4% of AI-generated answers about EVs, more than double the next closest brand. Rivian follows at 8.2%, Ford at 6.4%, Lucid at 4.8%, Hyundai’s Ioniq lineup at 4.4%, and GM at 3.8%, based on the firm’s analysis of 25 brands across five AI engines, including ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, using more than 60 consumer query patterns.
The more revealing finding sits outside the ranked list: EV charging networks including Electrify America, EVgo, and ChargePoint do not appear anywhere in the top 25, despite running the infrastructure the entire category depends on. “Every EV buyer starts inside a chatbox now,” said 5W founder Ronn Torossian. “Tesla owns nearly one in five answers.” That gap points to a pattern already visible in broader brand-visibility research: AI answer engines default to naming the product or automaker a consumer is asking about and largely skip the service and infrastructure layer around it, even when that layer is where a real purchase decision often gets made.
The original wrinkle worth flagging for anyone building an AEO strategy off numbers like these: 5W’s own methodology note says the index is built from modeled, directional estimates, not logged query runs across millions of real prompts, and is meant as “a strategic framework, not a definitive search-engine measurement.” That caveat now shows up on nearly every AI-visibility index on the market, which means brands are starting to make positioning and content decisions off rankings the index providers themselves describe as directional, ahead of any agreed industry standard for what a verified citation-share measurement should look like. That measurement gap is becoming as consequential as the visibility gap it is trying to describe.
