“Why Aren’t We in ChatGPT?”: The New Question Agencies Must Answer

A new question is starting to surface in agency client calls: “Why aren’t we showing up in ChatGPT?”

At some point recently, you’ve probably gotten this call. A client — one with solid Google Maps rankings, an optimized Google Business Profile, and a steady stream of reviews — asks ChatGPT or Gemini to recommend a business in their category. Their name doesn’t come up. They want to know why.

This conversation is becoming a standard part of agency-client relationships, and it’s only going to get more common. Agencies that can answer questions like “why aren’t we in ChatGPT?” clearly will deepen those relationships. The ones who can’t risk causing clients to wonder whether their agency understands how search actually works anymore. Fortunately, the explanation is logical and, handled well, opens the door to expanded scope.

Distinguishing Between Two Systems With Different Selection Logic

Traditional local search rankings operate on a now-familiar principle: Google evaluates businesses against one another and produces a ranked list based on proximity, relevance, and prominence. Most local business clients understand this concept well by now and know that, in general, if you do the right things, you rank higher than the competitor down the street.

AI-generated recommendations don’t work that way. Rather than ranking businesses against each other based on an established set of local ranking factors, generative AI interprets a user’s context and synthesizes information from a much wider pool of web sources to decide which businesses are worth mentioning. It works more like a curation system — or a friend with local knowledge giving recommendations.

The Numbers Make the Gap Concrete

One of the most useful things you can do in this conversation is bring data that reframes expectations. AI visibility is genuinely hard to achieve — not as a reflection of anything the agency did wrong, but as a structural feature of how these platforms work and how new they are relative to Google, Bing, and other traditional search engines.

Current estimates indicate that AI only recommends between 1 and 11 percent of eligible local businesses for any given query. Even in the most generous categories, roughly nine out of ten relevant businesses are not mentioned. Earning AI visibility can be up to 30 times harder than earning a traditional local ranking. A client who understands how selective AI recommendation actually is will be far less likely to interpret their absence as a failure, and far more likely to understand why closing the gap requires deliberate effort.

It’s also important to address differing AI search platform behavior. ChatGPT and Gemini don’t produce the same recommendations — they pull from different data sources, and the businesses they surface reflect that.

Gemini’s closer alignment with Google Business Profile data means traditional Google-centric local SEO signals carry more weight there. On the other hand, ChatGPT draws more heavily from alternative sources like Bing Places, niche directories, and brand and third-party websites, often producing a different set of recommendations.

In other words, a client who ranks well on Google may have solid Gemini visibility and nearly zero ChatGPT presence, and without measuring both separately, they’d never know.

Fewer than half of businesses that rank well on Google appear consistently across AI platforms. In short, strong Google Search and Maps performance simply isn’t a reliable proxy for AI visibility.

Protecting the Work You’ve Already Done

When having this conversation with clients, it’s important to make sure they don’t walk away feeling like their Google investment doesn’t matter anymore. Make sure they understand that all that work provides a strong foundation that simply needs to be built upon.

Google optimization remains essential, and AI platforms, especially Google’s AI, still reward it heavily. But AI assistants draw from a broader data footprint than any single platform, and that’s where the expansion needs to happen. Inconsistent directory listings, thin presence on review platforms beyond Google, a website that doesn’t clearly communicate what the business does and where it operates — these are gaps AI tends to expose, and gaps the agency can close.

Citations, reviews, and website optimization have always been part of the local SEO conversation. What has changed is how directly they now affect visibility in a channel that operates by different rules from traditional local search algorithms.

Let the Data Make the Case

The cleanest way to move from explanation to action is to show clients their actual numbers. Measuring Share of AI Voice (SAIV) — how often a business appears in AI-generated recommendations across platforms like ChatGPT, Gemini, and Google AI Overviews, broken down by keyword and geography — turns an abstract conversation into a concrete one.

Tools like Local Falcon make it possible to track AI visibility alongside traditional local rankings in a single platform, so agencies can walk into a client call with a clear comparative picture: here’s your local ranking, here’s your AI visibility, here’s the gap. That data-first approach removes the burden of persuasion from the agency and puts it where it belongs — on the evidence.

The Opportunity Inside the Question

The clients who ask “why aren’t we in ChatGPT?” are indicating, whether they realize it or not, that they’re ready to invest in the answer. They’ve already noticed the gap. They’re already motivated to do something about it.

Agencies that can walk into that conversation with a clear explanation, concrete data, and a defined path forward will capture that budget and cement their position as the partner who understands where search is heading.