TL;DR: You can't control what AI says about your brand — but you can train it. As generative AI becomes the new discovery layer, CMOs must shift focus from backlinks and rankings to structured, verified data that AI can trust and cite. That means building a strong data foundation, prioritizing local accuracy, and measuring where your brand shows up in AI-generated answers.
Here's an uncomfortable truth, CMOs: AI is already shaping your brand perception — without your input.
Google Gemini, ChatGPT, and Perplexity aren't waiting for customers to visit your website. They're generating answers about your business right now — and what they say depends on what they trust.
As a result, a successful AI search visibility strategy isn't about trying to control the output of AI engines. Instead, it's about effectively influencing the inputs by training the models with the right data that they can trust.
Here's what that really means — and what to do about it.
AI doesn't rank. It cites.
Visibility today means being cited by AI engines — not ranked.
In traditional search, getting on page one was the goal. In AI search, there's no page one. You're either in the answer or you're invisible.
To influence that answer, marketing leaders must prioritize three levers:
Visibility = Control × Structure × Context
Control: Can your teams manage and update your brand information across all the source(s) of truth that AI will look at?
Structure: Is all of your content machine-readableand consistent?
Context: Does your content align with user intent, location, and timing?
When all three work together, you increase your chances of being cited (and seen).
In a recent Yext study of 6.8 million citations from leading AI platforms, we found:
43% of citations came from brand-owned websites and local pages
43% came from third-party listings
Only 14% came from media, forums, or other external sources
That means 86% of citations came from sources your brand can directly control or influence — if your data is structured and trusted.
So, what actually drives AI to trust and cite your content?
Listings: AI checks a variety of sources to see if your brand information is standardized, consistent, and verified. Think of it like this: Are you more likely to trust that a business is open if you see the same hours listed across Yelp, GBP, and other sites? Or if you see hours listed on one site that were updated years ago? The first one, right? AI thinks similarly.
Schema Markup: Schema adds context, helping AI connect key facts and relationships — like seeing which providers offer which services at which locations, to use a healthcare example.
Knowledge Graphs: Organizing your brand facts in a connected graph format improves machine retrieval across the board — and increases citation likelihood.
The more structured, accurate, and localized your data is, the more likely you are to be part of the answer when someone asks a specific question like, "urgent care open now near me."
A mindset shift for modern CMOs
AI is now a primary interface between customers and your brand.
As a marketing leader, you need to shift how you invest and operate in a world where AI acts like an influencer with global reach.
You can't control exactly what AI says. But as discussed, you can train it with the right inputs — starting today.
Three actions to take now
Create a central source of brand truth: Build a single source of structured, verified facts (like, ahem, a knowledge graph). Clarify ownership across teams so it stays accurate.
Publish structured, hyper-local pages for key markets and services: Prioritize location-level accuracy on hours, providers, services, and availability.
Measure your AI visibility: Use tools like Yext Scout to benchmark where, how often, and with what sentiment AI platforms are citing your brand.
The era of AI discovery is here. As customer questions shift from traditional search engines to AI chat interfaces, the brands that win will be those that offer trusted, structured, and retrievable facts.
Backlinks built the web. Citations will build the future.
Click here to read our full AI search strategic guide for CMOs.
