What Does ChatGPT Say About Your Business? How to Audit Your AI Visibility

ChatGPT surpassed 100 million weekly active users and adoption continues to accelerate across every market. Most businesses have no idea what AI assistants are saying about them.

— OpenAI, 2026

There is a brand discovery channel growing faster than any other. Not TikTok. Not a new search engine. It is AI assistants — and most businesses have no idea what these assistants are saying about them. At Lumos we audit this every day for brands across industries.

The New SEO Nobody Is Talking About

When a potential customer asks "what are the best logistics companies in my area?" or "what accounting software do small businesses use?", they are increasingly asking ChatGPT, Gemini, or Perplexity before they search on Google.

The numbers are clear. According to OpenAI data, ChatGPT surpasses 100 million weekly active users globally. Adoption is accelerating across every market and demographic. And it is not just consumers — executives, B2B buyers, and corporate decision-makers consult AI assistants as part of their research process.

And here is the problem: what the AI responds is not the same as what appears in Google.

Traditional SEO optimizes for an algorithm based on links, keywords, and technical signals. Large language models (LLMs) operate on a completely different logic. This gave rise to a new discipline: Generative Engine Optimization (GEO) — also known as Answer Engine Optimization (AEO) — which focuses specifically on optimizing brand visibility in generative search engines.

LLMs decide what to recommend based on:

Their training data — everything written about your brand on the web, including articles in The Wall Street Journal, Reuters, The New York Times, Investopedia, reviews, forum mentions, and social media content
Real-time search — when they have browsing access (like ChatGPT with browsing or Perplexity), what they find at the moment of the query
Citation patterns — which sources they consider authoritative and trustworthy for different types of queries

If your brand is not well represented across these three layers, you simply do not exist for the AI. And that means you do not exist for a growing percentage of your potential customers. Lumos measures all three layers simultaneously.

How to Audit It Yourself (Step by Step)

You do not need sophisticated tools for an initial AI visibility diagnostic. A manual audit is an excellent starting point for understanding your current situation. Open ChatGPT, Gemini, and Perplexity in three separate tabs, and systematically run these queries:

Discovery Queries (Awareness)

"What are the best companies for [your category] in [your city/market]?"
"What options do you recommend for [problem you solve] in [your region]?"
"Who are the market leaders in [your industry]?"
"Top 10 [your category] 2026"

Consideration Queries

"[Your company] vs [main competitor]: which is better?"
"Is it worth hiring [your company]?"
"Reviews of [your company]"
"Alternatives to [main competitor]"

Verification Queries (Fact-checking)

"What is [your company]?"
"Who is the founder of [your company]?"
"How many employees does [your company] have?"
"What year was [your company] founded?"

Create a simple table to document the results. For each query and each AI model, note:

Do they mention you? (Yes/No)
At what position? (1st, 2nd, 3rd, etc.)
Is what they say accurate? (Verify specific facts)
Do they mention your competitors? Before or after you?
What is the tone? (Positive, neutral, negative)

This exercise takes approximately one hour, but it will give you a clear picture of your current situation. For a more complete guide on how to improve these results, see our article on how to appear in ChatGPT answers.

The 4 Signs You Have an AI Visibility Problem

After running this exercise with dozens of businesses across different sectors — from retail to financial services, logistics, and technology — we have identified four patterns that indicate a serious Generative Engine Optimization problem:

1. You Are Not Mentioned at All

The AI responds with a list of companies in your category and you simply do not appear. This is especially serious if your competitors are mentioned — it means you are actively losing consideration.

We see this frequently with businesses that have excellent Google rankings but little presence in specialized media, industry publications, and sources that LLMs consider authoritative. Lumos identifies exactly which queries are leaving you out.

2. You Are Mentioned, But with Incorrect Information

The AI says your company was founded in 2015 when it was actually 2010. Or it mischaracterizes your main product. Or it attributes offices to cities where you do not operate.

Every incorrect data point erodes the trust of potential customers. Worse, incorrect information tends to spread: if it is in a model's training data, it can influence responses for months or years. Lumos's Fact Accuracy module detects these errors every week.

3. You Appear, But Very Low Down

When the AI lists "the 5 best options," you are number 4 or 5 — while your competitor with a smaller market share appears first. Position matters as much in AI responses as it does in Google results.

4. Your Competitor Is Winning Your Space

You run the specific query for your category and the AI enthusiastically recommends your competitor, mentioning you as a secondary alternative or ignoring you entirely.

If you detected any of these signals, you are not alone. It is more common than it seems — and it has a solution.

Why Traditional SEO Is No Longer Enough

This is where many marketing directors get confused. "But we rank first on Google," they say. "We invested a lot in SEO."

The problem is that LLMs are not Google. They have their own rules. For a deeper explanation, we recommend our article GEO vs SEO: what's the difference?

1. They Do Not Crawl Links the Same Way

Google measures authority by backlinks. LLMs weight contextual mentions, textual citations, and consistent repetition of information across diverse sources.

2. They Prioritize Content They Can Cite

LLMs look for clear, verifiable claims they can incorporate into their responses. SEO-optimized content that repeats keywords without substance does not serve them.

3. They Understand Brands as Entities, Not Keywords

Language models build an internal representation of your brand as a brand entity with associated attributes. This "entity strength" determines how well they know you.

4. They Have Selective Memory

What was written about your brand years ago can still influence current responses. A 2018 reputational crisis that you have long overcome on Google could still be appearing in ChatGPT.

5. Local Context Works Differently

LLMs tend to have less data about businesses in smaller or emerging markets than about US or Western European equivalents. Lumos compensates for this with prompts and benchmarks specific to your market.

6. Bing Indexing Matters for ChatGPT

A critical point: ChatGPT Search uses Bing's index for its real-time searches. Verify your presence in Bing Webmaster Tools.

7. Conversational Search Changes Queries

Users do not type "best CRM software" into ChatGPT — they type "I'm looking for a CRM for my small business, what do you recommend?"

What You Can Do About It

The first step is to stop ignoring the problem. The manual audit gives you a valuable initial diagnostic, but it has limitations.

For a serious strategy you need:

Systematic monitoring — running hundreds of relevant prompts every week
Change tracking — detecting when the AI starts saying something different about your brand
Competitive benchmarking — knowing exactly how you compare to your competitors
AI Share of Voice — measuring what percentage of mentions in your category are yours
Actionable metrics — understanding which prompt categories need priority work

Additionally, there are immediate technical actions:

Verify your Bing indexing — ChatGPT Search depends on Bing's index
Reinforce your brand entity — ensure consistent information on Wikipedia, Crunchbase, LinkedIn, and industry directories
Optimize for direct answers — structure your content with clear questions and answers

This is exactly what we do at Lumos. We automate the audit process at scale with prompts and local benchmarks.

To better understand the fundamentals, we recommend reading our complete guide to Generative Engine Optimization.

Frequently Asked Questions About AI Visibility

What is Generative Engine Optimization (GEO)?

GEO is the practice of optimizing your brand, content, and digital presence to appear favorably in generative engine responses such as ChatGPT, Gemini, and Perplexity.

What is AEO or Answer Engine Optimization?

AEO is a term used interchangeably with GEO. Both refer to optimization for AI-powered answer engines.

How do I know if my competitors have better AI visibility than me?

Run the same audit queries for your category and systematically observe who appears first, how often, and with what level of detail.

How long does it take to improve AI visibility?

It depends on the model. Models with real-time search can reflect changes in weeks. Models based on training data take months.

Does GEO replace traditional SEO?

No. GEO complements SEO — it does not replace it.

Which AI models should I monitor?

At a minimum: ChatGPT, Gemini, and Perplexity. Claude is gaining enterprise adoption.

Can I improve my AI visibility without hiring an agency or tool?

Yes, you can start with basic improvements, but systematic monitoring at scale requires specialized tools like Lumos.

If you are ready to see what AI assistants are really saying about your business — and do something about it — request a Lumos demo.

AI visibility is not the future of digital marketing. It is the present.