If you work in marketing, PR or communications, you've probably heard a lot about AI visibility lately. AEO, GEO, LLMO, AI search optimization – there are plenty of names, but they all circle around the same question:

When someone asks an AI about your brand, your competitors or your category, what shows up?

For communications teams, this is quickly becoming a reputation question. If ChatGPT recommends three competitors but not you, describes your company in a way you don't recognize, or consistently associates a competitor with a topic you want to own, you need to know why.

Tracking the AI answer is a good start. Understanding the conversations surrounding your brand gives you the context behind it.

A quick AI visibility glossary

AI visibility: How and in what context your brand appears in AI-generated answers from services such as ChatGPT, Gemini and Perplexity.

AEO – Answer Engine Optimization: Making information easier for answer engines to find, understand and surface.

GEO – Generative Engine Optimization: Optimizing content and digital presence for visibility in AI-generated answers.

LLMO – Large Language Model Optimization: Efforts to improve how a brand, product or information is surfaced and represented by large language models.

The terminology is still evolving and there is plenty of overlap. Here, we'll use AI visibility as the umbrella term.

Your AI visibility starts long before the AI answer

Your brand exists far beyond your website. Journalists write about it, customers recommend it, creators review it, industry experts discuss it and competitors are compared with it.

Communications teams have always monitored these conversations because they shape reputation. AI now gives people another way to encounter that reputation. Instead of reading reviews, articles and company websites, someone can simply ask:

What are the best alternatives to Brand X? Which companies are leading this category? What is Brand Y known for?

Exactly which sources influence an answer varies by AI system and query, so it would be too simplistic to say that a social mention directly changes what ChatGPT says. But monitoring only the final AI answer still leaves an important question unanswered: why is your brand being represented that way?

Why does your competitor own the AI answer?

Say your AI visibility monitoring shows that a competitor is frequently associated with innovation while your brand isn't. Now you have something concrete to investigate.

Is that competitor also dominating conversations about innovation? Are journalists, customers and creators making that association? Who is driving it? Is your brand absent from those conversations, or simply being associated with something else?

This is where social listening adds context. Instead of only measuring whether your brand appears in an AI answer, you can compare that answer with how the market actually talks about you.

AI visibility tells you what AI thinks. Social listening tells you why the world might be giving AI that impression.

AI visibility is also an earned media question

This should sound familiar to anyone working in PR. Earned media has always been about what other people say about your brand, whether it's a journalist covering your launch, an analyst discussing your category, a creator recommending your product or a customer comparing you with a competitor.

Those conversations help establish what your brand is known for.

If your company wants to own innovation, for example, don't only measure whether AI associates you with innovation. Look at whether the wider conversation does too. Are journalists, customers and industry experts making that connection? Does your earned media reinforce the positioning you're trying to build? Does your competitor have a stronger claim to the topic?

Social listening can help answer those questions by showing which narratives are growing, where competitors are gaining ground, what your brand is associated with and whether market perception matches the position you're trying to build.

The conversations you're not monitoring

There's another blind spot to consider. A lot of brand monitoring still starts with text, while many of the conversations that matter are spoken.

A creator compares three products in a YouTube video. A customer recommends a company halfway through a podcast. An industry expert discusses your category on TikTok. The brand name or opinion might never appear in the title, caption or description.

If you're only monitoring the text around that content, you can miss the actual conversation.

That's why spoken media should be part of the picture. Podcasts, TikTok, YouTube and other audio and video channels contain opinions, recommendations and brand associations that matter for understanding how a brand is perceived.

For communications teams, these signals answer different but connected questions:

AI visibility: What are AI systems saying about us?

Earned media: What are third parties saying about us?

Social listening: What conversations and narratives are developing around us?

Spoken media intelligence: What is actually being said in audio and video that text-based monitoring may miss?

Together, they provide a more complete picture of how the outside world understands your brand.

Don't just optimize the answer. Understand the conversation.

It's tempting to treat AI visibility as the next SEO challenge: track prompts, monitor citations and optimize content. Communications teams should look one step further.

If AI repeatedly associates a competitor with a topic you want to own, leaves you out of an important category or describes your brand differently from how you position it, the problem may not only be the AI answer. It could point to a wider reputation gap, a narrative your competitor owns or a conversation your brand isn't part of.

So instead of only asking “How do we change the AI answer?”, communications teams should also ask “Why might the answer look like this in the first place?”

The way people discover brands is changing, but the fundamentals of communications aren't. You still need to understand what people are saying, which narratives are gaining ground and how your brand is perceived outside the channels you control.

AI visibility shows you the answer. Social listening helps you understand the conversation behind it.