Zero-Click: why your business appears or disappears in the AI's answer

A patient with a toothache no longer opens ten Google tabs. They type into ChatGPT: "who's the best dentist near me in Guadalajara?" and read the answer. Three names, a couple of lines each, done. If your clinic is in that answer, you get an appointment. If it isn't, you don't exist for that patient — and you'll never know they were looking.

This isn't a prediction. Nearly 60% of Google searches already end without a click¹: the answer is right there, written by the AI, with no one visiting a website. Amanda Natividad — VP of marketing at SparkToro, the audience-intelligence consultancy founded by Rand Fishkin (ex-Moz CEO) — calls it zero-click marketing, and has been documenting it for years. The conclusion is uncomfortable but simple: the customer decides before they ever land on you.

What zero-click is

Rand Fishkin popularized the term in 2019, long before chatbots. The original idea was that Google answered more and more queries inside its own page — weather, conversions, hours — without sending traffic to anyone. With AI Overviews, AI Mode, and assistants like ChatGPT, Gemini, and Perplexity, the phenomenon stopped being a curiosity and became the norm: the answer is the product.

For a local business, this changes the game entirely. You used to fight to climb a list of ten blue results; good SEO and patience were enough. Now you fight to be one of the two or three names the model mentions when someone asks about your vertical in your city. There's no second page. No scroll. No "more results below." You're in the answer or you're not, and the space is dramatically smaller.

The treacherous part is that you don't find out. The traffic you lost — or won — doesn't show up in your Google Analytics as what it is. It's logged as direct, as not set, or simply not logged at all. It's what some call dark traffic: customers who already knew you, or decided not to choose you, because of an AI answer you never saw and that left no trace in your dashboard. You're measuring the old world with old-world instruments, while the decision happens somewhere else.

It's worth not confusing the phenomenon with its solution. Zero-click is the phenomenon: the answer is consumed without a click, in search engines, in feeds, in assistants. AEO — Answer Engine Optimization — is one response to it: optimizing so the AI cites you. But AEO isn't all of zero-click, just as SEO was never all of Google. First you understand the terrain; then you optimize.

Natividad's framework, applied to local businesses

Natividad proposes five moves for this reality. Her talk is for SaaS founders, but the framework translates surprisingly well to a local small business — a doctor's office, a taco shop, a neighborhood real-estate agency.

1. Be present where it matters. You don't need to be everywhere, just in the two or three channels where your customer actually searches. For a local business in 2026, one of those channels is the AI answer. The catch is how you're present: if your business data isn't structured in a format the model can read and cite — type of business, location, hours, specialty — you're not present, no matter how many Instagram followers you have. A dental clinic with 8,000 followers but no structured listing is invisible to the model recommending dentists.

2. Build trust in public. The model recommends what it can verify. Real reviews, a complete listing, consistent pricing across channels, a business someone claimed and keeps updated: all of that reads as trust to the AI. Trust stopped being a PDF you send a client; it's a public footprint. A real-estate agency whose address matches everywhere, with verifiable reviews, gives the model reasons to cite it; one with contradictory data across Google, Facebook, and its website gives it reasons to doubt.

3. Deliver value in-feed. Natividad puts it this way: "the goal of marketing is no longer just to drive traffic to your site, but to deliver value directly in the feed." For a local business, the "feed" is the AI answer, and the in-feed value is citable data: what you do exactly, where, what hours, what specialty, at roughly what price. A restaurant that declares "seafood, open Sundays, pet-friendly terrace, reservations by WhatsApp" hands the model concrete material to recommend it for the right query. One that just says "the best restaurant in town" hands it nothing.

4. Monitor reputation. Customers used to read Google reviews; now they ask the AI, and check forums like Reddit, before they even visit your site. If you don't know what the models say when someone searches your vertical in your city, you're flying blind. Measuring that answer — how often you appear, in what position, with what tone — is the modern equivalent of reading your reviews every morning. The difference is that almost no one is doing it yet.

5. Optimize for real outcomes. Natividad is hard on vanity metrics: impressions, views, reach. For a local business that translates directly: what matters isn't how many times you appeared, but how many appointments got booked, how many reservations came in, how many WhatsApp messages arrived, how many leads closed. Appearing in the AI's answer only counts if it turns into a customer walking through your door. Optimizing for impressions repeats the very mistake she criticizes, now on a new channel.

That's the point of Plexa: turning Natividad's framework into infrastructure for local small businesses, without asking you to become an AI expert. Structured listing as presence. Verified reviews as trust. Citable data as in-feed value. Visibility report as monitoring. Direct WhatsApp as a real outcome. All five dimensions, translated into something a business owner can actually use.

The customer is already asking

The question isn't whether your customers ask the AI about your vertical. They already do, today, while you read this. The question is whether your business appears or disappears in that answer — and whether you have any way to know. That's the first step, and unlike almost everything in marketing, it can be measured today.

Footnotes

1. Amanda Natividad, "Zero-Click Marketing for Founders", SparkToro — MicroConf US 2026, Portland. The zero-click concept was originally popularized by Rand Fishkin (SparkToro co-founder, ex-Moz) in 2019. ↩