How to Track Your Brand's Visibility in ChatGPT and Gemini

You've optimized your website for Google. You track your rankings religiously. But do you know where you stand when potential customers ask ChatGPT or Gemini for product recommendations?

If you can't measure it, you can't improve it. In this guide, we'll walk you through exactly how to track your brand's visibility across AI platforms and turn insights into action.

Why AI Visibility Tracking Matters

Traditional analytics tools tell you about website visitors—but they can't tell you about the customers you're not getting because AI platforms never mentioned you.

Consider this: When someone asks ChatGPT "What are the best eco-friendly water bottles?", only 3-5 brands typically get mentioned. If you're not one of them, that potential customer never even knows you exist.

AI visibility tracking helps you:

• Understand your current position in AI-generated recommendations
• Identify competitors you didn't even know you were up against
• Measure the impact of your AI SEO efforts
• Spot opportunities where you're already ranking well
• Fix gaps where you should be mentioned but aren't

Step 1: Define Your Tracking Prompts

Start by identifying the questions your potential customers are actually asking. These aren't traditional keywords—they're conversational queries.

Good Tracking Prompts

• "What's the best water bottle for keeping drinks cold during long hikes?"
• "Recommend some sustainable kitchenware brands"
• "Where can I buy high-quality, eco-friendly yoga mats?"

Poor Tracking Prompts

• "Water bottles" (too generic)
• "Best water bottle brand in the world" (too broad)
• "Buy [Your Brand] water bottles" (you already know you'll rank here)

Pro tip: Think about the exact questions your customers ask your support team or on social media. Those make excellent tracking prompts.

Step 2: Test Across Multiple AI Platforms

Don't just test on one platform. Different AI models have different training data and may recommend different brands.

Key Platforms to Monitor

• ChatGPT: The largest user base with over 700 million weekly active users as of August 2025¹
• Gemini: Google's AI, integrated with Search
• Perplexity: Growing fast among tech-savvy users
• Claude: Popular with professionals and researchers

Each platform may rank you differently, so track them all to get a complete picture.

Step 3: Track Key Metrics

Once you're monitoring AI platforms, focus on these critical metrics:

1. Mention Rate

What percentage of the time does your brand appear in responses to your tracking prompts?

Example: If you're mentioned in 8 out of 10 test queries, your mention rate is 80%.

This is a foundational metric that shows whether your AI SEO efforts are working. LLMFriendly.ai automatically calculates this for you across multiple prompts and platforms, so you can spot trends immediately.

2. Average Ranking

When you are mentioned, where do you typically rank? First? Third? Seventh?

Position matters significantly. Being mentioned first is substantially more valuable than being mentioned further down the list, as users are more likely to engage with and remember the first recommendations.

3. Sentiment

How is your brand being described?

• Positive: "Known for exceptional quality and durability"
• Neutral: "A popular option for outdoor enthusiasts"
• Negative: "Some users report issues with..."

4. Competitor Mentions

Who else is being recommended alongside you? Are there competitors you didn't even know existed?

5. Platform Distribution

Which AI platforms mention you most frequently? This tells you where to focus your optimization efforts.

Step 4: Establish Your Baseline

Before you start optimizing, establish a baseline. Run your tracking prompts across all platforms and document:

• Current mention rate
• Average ranking position
• Top 3 competing brands
• Sentiment of mentions

This gives you a benchmark to measure improvement against. If you're using LLMFriendly.ai, your baseline is automatically established from day one, making it easy to track your progress over weeks and months.

Step 5: Monitor Consistently Over Time

AI visibility isn't static. It changes as:

• AI models get updated with new training data
• Competitors optimize their AI presence
• Your content and authority grow
• New reviews and mentions appear online

We recommend tracking at least weekly to catch trends early.

How to Act on Your Tracking Data

Data without action is useless. Here's what to do with your insights:

If Your Mention Rate is Low

• Improve your llms.txt implementation
• Create more authoritative content
• Build mentions on platforms AI models learn from

If You Rank Below Competitors

• Analyze competitor content to find gaps
• Improve your product descriptions
• Focus on building authority signals

If Sentiment is Negative or Neutral

• Address common customer concerns
• Improve product information
• Build more positive reviews and testimonials

If You Discover New Competitors

• Research their strategy
• Find their strengths and weaknesses
• Differentiate your positioning

The Manual vs. Automated Approach

Manual Tracking

Pros: Free, gives you hands-on understanding
Cons: Time-consuming, inconsistent, hard to scale

If you're just getting started, manual tracking can work. But as you scale to tracking 5+ prompts across multiple platforms weekly, it becomes unsustainable.

Automated Tracking

Pros: Consistent, scalable, provides trends over time
Cons: Requires tools or development

Automated tracking lets you monitor 10, 20, or even 50 different prompts across multiple AI platforms without lifting a finger. You get weekly reports showing your progress and can quickly identify issues.

This is exactly how LLMFriendly.ai helps brands get ahead of the curve. Instead of spending hours manually testing queries, LLMFriendly.ai continuously monitors your brand visibility across ChatGPT and Gemini, tracks your rankings against competitors, and delivers actionable insights—all automatically. You focus on optimization; we handle the measurement.

Common Tracking Mistakes to Avoid

• Only tracking brand-specific queries: You already rank for searches that include your brand name. Track competitive queries instead.
• Testing too few prompts: A single prompt doesn't give you a complete picture. Track at least 5-10 relevant queries.
• Ignoring competitor analysis: Knowing who you're up against is just as important as knowing where you rank.
• Not tracking over time: One-time snapshots aren't useful. You need trends to measure improvement.
• Forgetting platform differences: Don't assume ChatGPT and Gemini will give the same results.

Start Tracking Today

The brands dominating AI search aren't guessing—they're measuring. They know exactly where they rank, who they're competing against, and how their visibility changes over time.

Whether you start with manual tracking or use automated tools, the important thing is to start now. Every day you're not tracking is a day your competitors are getting ahead.

References

1. MarketMaze. (2025). ChatGPT Search Surge: AI Reshapes Ecommerce in 2025