Latest / Customer Journey with Fexingo: Touchpoints, Mapping, and Multi-Channel Marketing / How Customer Journey Maps Miss the Generative AI Search Moment
Transcript
- Lucas: So Luna, I want to talk about a customer journey blind spot that's already reshaping how people discover brands — and most journey maps completely miss it. Luna: I'm guessing this has something to do with AI search. I've been noticing more clients mention 'we got a ton of traffic from ChatGPT' and they have no idea how to map that. Lucas: Exactly. It's the generative AI search moment. When someone asks ChatGPT, or Google's AI Overview, or Perplexity a question like 'what's the best organic mattress under a thousand dollars?' — the AI gives an answer. It might name your brand. But that answer happens in a black box. There's no click, no landing page visit, no cookie. The user just takes the recommendation and goes straight to your site or to a store. And your journey map probably starts at 'user lands on homepage' — completely skipping this critical awareness touchpoint. Luna: Right. So the traditional awareness phase — ads, social posts, blog articles — gets leapfrogged entirely. The brand enters consideration before the customer ever visited their site. Lucas: That's the key insight. And I've got a concrete case. There's a mid-size D2C mattress company — I'll call them RestWell, not their real name — that started tracking referral traffic sources last quarter. They found that about 30 percent of their new users came from 'direct' or 'dark social' — no identifiable source. But when they surveyed a sample, over half said 'I asked ChatGPT for mattress recommendations and your name came up.' They had zero visibility into that touchpoint. Their entire journey map started at the homepage, which meant they were optimizing for the wrong funnel. Luna: Wow — 30 percent is huge. And it's not just mattresses. I bet it's happening across categories: software tools, financial products, even local services. Lucas: Absolutely. Any category where people ask for recommendations. And the thing is, this isn't just a new channel — it's a fundamentally different search behavior. Traditional SEO is about getting a user to click your link. Generative AI search is about getting the AI to cite your brand in its answer. The user may never click anything. They get the answer and leave. So your brand needs to be in the AI's training data, and preferably in a way that the AI trusts as authoritative. Luna: And here's where the journey map blindness really hurts. If you don't know the AI search moment exists, you can't optimize for it. You're still pouring resources into blog posts and Google Ads, but the user's decision is happening before they ever see those. Lucas: Right. And by the way, if these marketing conversations have sparked something you've actually used in your own work — a new way to think about a touchpoint, a mapping exercise you tried — that's exactly why we keep this show ad-free. We don't run ads, no sponsors, no interruptions. If that kind of independence is valuable to you and you want to support it, the link is buy me a coffee dot com slash fexingo. No pressure, just an option. Okay — back to the AI search gap. Luna: Yeah, that's a good reminder. So how do you actually start mapping this? What does a generative AI search touchpoint look like on a journey map? Lucas: Great question. First, you need to add a new stage before 'awareness' — call it 'AI Discovery.' Then you need to identify what triggers the AI query. For RestWell, the trigger was 'best organic mattress under a thousand dollars.' So they had to figure out: is our brand mentioned in AI responses to that query? And if not, why? Luna: And how do you check that? It's not like you can just Google it — the AI response varies by user and by model. Lucas: You have to audit systematically. Use a tool like BrightLocal or even manual testing with a clean browser profile. Run the same query across multiple AI platforms — ChatGPT, Gemini, Perplexity, AI Overview in Google. Record whether your brand appears, in what context, and whether it's positive, neutral, or negative. Also check if the AI cites specific sources. Often it draws from top-ranking blog posts, review sites, or authoritative domain pages. Luna: So the old SEO tactic of optimizing for the top of the search results page still matters — but now it's because that content trains the AI, not because it drives direct clicks. Lucas: Exactly. One thing RestWell did was identify that the AI was pulling from a third-party review site that featured them heavily. They didn't control that source, but they could ensure their own site had authoritative, well-structured content that the AI might prefer. They added a 'best mattresses' guide with clear, factual comparison tables, schema markup, and expert quotes. Within two months, they saw their brand mentioned in about 40 percent of AI responses for their target queries. Luna: And they mapped that as a touchpoint? I'm imagining a sticky note that says 'AI Search Mention' placed before 'Website Visit.' Lucas: Exactly. And they assigned it a metric: 'AI citation rate.' For each key query, they track whether the AI mentions them. That becomes a leading indicator for direct traffic and assisted conversions. They also added a follow-up step: when a user arrives from an AI recommendation — you can't detect that via cookies, but you can ask in a post-purchase survey — they flag that journey path. Over time, they built a segment of 'ai discovered customers' and analyzed their lifetime value. Luna: I love that. So the journey map becomes a living tool that adapts to how customers actually behave, not how you assume they behave. Lucas: That's the whole point of journey mapping, right? But here's the hard part: traditional maps are built on explicit touchpoints — ad clicks, page visits, form submissions. Generative AI search is a zero-click touchpoint. No data signal. You have to infer it through surveys, referral-source analysis, and direct questioning. Luna: And there's a privacy angle too. With third-party cookies going away, this kind of inference becomes even more important — and harder. Lucas: Yes. But also an opportunity. If you can identify that AI search is a major discovery channel, you can create content specifically designed to be ai friendly. Not keyword-stuffed nonsense, but genuinely helpful, authoritative content that an AI model would want to cite. Think about it: the AI is essentially a super-engaged reader that never clicks. You need to write for the AI as much as for the human. Luna: That's a shift in mindset. Marketers are used to thinking about the 'customer journey' as a sequence of human decisions. Now there's a non-human intermediary that influences the journey before the human even gets involved. Lucas: Right. And that intermediary has its own biases. AI models tend to favor content from established domains, academic sources, and sites with strong backlink profiles. So a smaller brand without a big SEO presence might get overlooked entirely. That's a new kind of discoverability gap. Luna: Which means journey maps need to include a step for 'AI discoverability audit.' Check your brand's presence in AI training data and model outputs. Lucas: Exactly. I'd recommend doing that audit quarterly. And I want to be clear: this isn't about gaming the AI. It's about making sure your brand is accurately represented. If you produce genuinely useful content, the AI should reflect that. The problem is most brands don't know whether they're being cited or not. Luna: So what's the first step for a marketer listening right now? Should they go test their own brand in ChatGPT? Lucas: Absolutely. But do it systematically. Pick your top three discovery queries — the questions a new customer would ask before knowing your brand. Run them in ChatGPT, Google AI Overview, and Perplexity. Record the results. Then ask yourself: is my brand there? If not, what content or authority am I missing? That's your starting point. Luna: And then once you know, you can update your journey map. Add that AI discovery sticky note. Start tracking citation rate as a KPI. Lucas: Exactly. And here's a final thought: this isn't a passing trend. As generative AI becomes the default interface for search, the zero-click touchpoint will only grow. Journey maps that ignore it will become increasingly inaccurate. The brands that adapt will have a real advantage. Luna: I think we've just given our listeners a concrete action item for this week. Audit your AI presence. Map the gap. Lucas: And then come back and tell us what you found. We might do a follow-up episode with listener stories.