What ChatGPT Actually Says About Your Brand (And How to Check)

Here's something that'll ruin your morning: go ask ChatGPT to recommend a tool in your category. Your competitor probably shows up. You probably don't.

Or worse, you show up, but the description is wrong. Outdated. Maybe it says you're "similar to [competitor]" when you're actually nothing alike.

This is the reality for most B2B brands right now. AI answer engines like ChatGPT, Gemini, Perplexity, and Claude are forming opinions about your product. They're sharing those opinions with your potential customers. And most marketing teams have never even checked what's being said.

Let's fix that today.

The Problem: You're Invisible in the New Search

Traditional SEO teams are built around Google. You optimize, you rank, you track keywords. The loop is well understood.

But the way people search is changing fast. When someone asks ChatGPT "What's the best CRM for small teams?" or "Which SEO tool handles technical audits well?" they get a direct answer. No blue links. No chance to rank. Just a recommendation.

And here's what most teams don't realize: the AI's answer isn't random. It's shaped by your content footprint: your website, reviews, blog posts, community mentions, competitor comparisons. If that footprint is weak or outdated, the AI fills in the blanks. Usually with your competitor's name.

The brands that show up in AI search are the ones that deliberately manage their visibility. The rest just hope for the best.

Step 1: The Manual Check (5 Minutes, Eye-Opening)

Before you automate anything, do this manually. It takes five minutes and the results will immediately tell you where you stand.

Open ChatGPT (or Gemini, or Perplexity) and type these prompts:

1. "What is [your brand]?" Does the AI know you exist? Is the description accurate?

2. "What are the best [your category] tools?" Do you appear? Where do you rank in the list?

3. "[Your brand] vs [top competitor]" How does the AI compare you? What does it get wrong?

4. "Which [your category] tool is best for [your ICP]?" Are you recommended for your actual use case?

5. "What do people say about [your brand]?" What sentiment does the AI pick up?

Do this across ChatGPT, Gemini, and Perplexity. You'll notice each one gives different answers because they pull from different sources.

Step 2: Score What You Find

Now that you've run those five prompts, grade yourself:

• Visibility: Do you show up at all? (Yes/No for each AI)

• Accuracy: Is the description correct? (Spot any outdated info?)

• Positioning: Are you recommended for the right use case?

• Competitor gap: Who shows up instead of you? How often?

• Sentiment: Positive, neutral, or (yikes) negative?

Most teams doing this for the first time find at least two of these are red flags. That's normal. The good news: you can influence this.

Step 3: Understand What Drives the Answers

AI models don't just make things up (well, sometimes they do, that's a different problem). They synthesize from their training data and, increasingly, from real-time web sources.

What shapes your AI visibility:

• Your website content, especially your homepage, product pages, and comparison pages

• Third-party reviews on G2, Capterra, and TrustRadius carry a lot of weight

• Community mentions on Reddit, LinkedIn, and forum discussions

• Blog content, particularly content that directly answers the kinds of questions people ask AI

• Competitor content about you. If your competitor has a "Us vs You" page and you don't, guess whose framing wins?

This is why we built QuerySignal. Not just to check visibility once, but to track what's driving the answers so you know exactly what to fix.

Step 4: Move From Manual to Monitoring

The manual check is a great wake-up call. But it's not sustainable. AI answers change constantly. A new competitor blog post, a Reddit thread, a product update, and suddenly your position shifts.

That's where QuerySignal comes in.

Instead of manually prompting three AI platforms every week, QuerySignal:

• Monitors how your brand appears across ChatGPT, Gemini, Perplexity, and Claude, automatically

• Tracks your visibility over time so you can spot trends (are you gaining or losing ground?)

• Identifies which specific content drives your mentions, and which gaps hurt you

• Benchmarks you against competitors so you know where you stand

Think of it as Google Search Console, but for AI search.

For Agencies: This Is Your New Client Deliverable

If you run an SEO agency, this should excite you. Every one of your clients has this blind spot. Most don't even know AI is answering questions about their brand.

The pitch is dead simple:

"I checked what ChatGPT says when someone asks about your category. Here's what we found. Here's how we fix it."

That's a new service line. A new revenue stream. And it starts with a five-minute audit.

QuerySignal makes it easy to run this for every client, track progress, and report on it monthly. We built the tool for exactly this kind of workflow.

Your 5-Minute Action Plan

Here's what to do right now:

1. Open ChatGPT. Run the five prompts above for your brand.

2. Screenshot the results. Share them with your team.

3. Repeat on Gemini and Perplexity.

4. Note the gaps: where are you missing, inaccurate, or outranked?

5. Sign up for QuerySignal to track this automatically going forward.

You can't optimize what you don't measure. And right now, most brands aren't measuring the thing that's quietly replacing traditional search.

Don't be one of them.

🚀 Start your free trial at querysignal.ai. See exactly what AI says about your brand in under 10 minutes.