A Simple Guide to Tracking Your Brand’s AI Visibility
Key Takeaways:
- AI visibility tracking measures how often your brand appears in AI recommendations.
- Prompts replace traditional keywords in AI search.
- Daily tracking reveals patterns across competitors and sources.
- AI citations often reveal the most influential websites.
- After 90 days, the data becomes powerful enough to guide strategy.
If you want to know whether your brand appears in ChatGPT, Perplexity, or other AI tools, you can track it manually with a simple process. The idea is straightforward. You create realistic prompts, run them in AI tools using a clean browser session, log which businesses appear, and track which sources the AI references. Over time, this data shows whether your brand is visible, which competitors are showing up instead, and which websites AI systems trust when generating answers.
This process helps you move from guessing about AI visibility to actually measuring it. With a simple spreadsheet and a few minutes each day, you can start seeing patterns in how AI tools recommend businesses and where your brand fits into those recommendations.
You can follow along with the same template used in the blog using this AI visibility tracking worksheet.
What Is AI Visibility Tracking And Why Does It Matter?
AI visibility tracking is the process of monitoring whether your business appears in responses from AI tools such as ChatGPT, Gemini, Perplexity, or Claude. Instead of tracking keywords like traditional SEO, you track prompts, which are natural language questions people ask AI.
This matters because many people now ask AI tools for recommendations instead of searching Google. If your brand never appears in those answers, you are invisible to a growing segment of potential customers. Tracking your visibility helps you understand where you appear, where competitors appear, and which sources AI systems rely on when making recommendations.
Organizations like OpenAI, Anthropic, and Perplexity AI have confirmed that large language models generate responses using a mixture of training data and referenced sources. Understanding those sources is key to improving your presence.
What do you need before you start?
Before you begin tracking AI visibility, you need a simple system for logging prompts, results, and sources across multiple AI platforms.
Checklist
Tools
- Access to AI tools such as
- ChatGPT
- Perplexity
- Gemini
- Claude
- A browser that supports incognito or private mode
Materials
- A list of prompts your customers might ask AI
- Your business name and competitor names
- A place to track cited sources from AI responses
Prerequisites
- Basic ability to use spreadsheets
- Access to the AI platforms you want to track
- Consistency to run the tracking daily
How do you track AI visibility step by step?
The manual AI visibility tracking process involves running prompts in AI tools, logging the results, and identifying patterns over time. When done consistently, this process reveals which competitors appear most often and which websites AI tools rely on for recommendations.
Step 1: Identify the prompts you want to track
Start by listing the prompts your customers might realistically ask an AI assistant.
Prompts should be conversational and long tail, not short keywords. For example, instead of “Marketing Agency Minneapolis,” a real prompt might be:
- “Top AEO or GEO agencies in Minnesota”
- “Which digital marketing agencies in Minneapolis offer AI visibility tracking?”
- “Minneapolis marketing agency that tracks brand mentions in ChatGPT and Perplexity.”
Make sure to write prompts the way a person would talk to a friend. AI prompts are conversational, not keyword-focused. Also, never include your business name in the prompt. That defeats the purpose of testing organic visibility.
Step 2: Open an incognito browser window
Always run your prompt in an incognito or private browsing window.
This prevents AI tools from using previous conversations or account history that could influence the results.
Try to stay logged out of the AI tool when possible. This creates the most neutral test environment. Running prompts while logged in can bias the results if the AI has context about your business.
Step 3: Run the prompt in the AI tool
Paste your prompt into the AI tool and run the search.
For example:
“Minnesota marketing agency that monitors brand mentions in AI search platforms”
Let the AI generate its answer. Most AI tools will list several businesses in a recommended order.
Your goal is to capture the top results, usually the first five recommendations.
Step 4: Log the businesses that appear
Return to your spreadsheet and record the businesses that appear in the AI response.
Track:
- Position 1
- Position 2
- Position 3
- Position 4
- Position 5
If your business appears, record its position. If it does not appear, that is important data as well.
Step 5: Record the sources the AI references
Many AI tools cite sources they used to generate the recommendation.
Hover over or click the citations and record the source URLs in your spreadsheet.
Examples might include:
- magnorth.com
- Clutch.co
- semrush.com
- Reddit threads
Pay attention to sources that appear repeatedly. These often become the most influential websites in AI recommendations. Do not assume Google rankings equal AI rankings. AI tools often reference different sources.
Step 6: Repeat the process across multiple AI platforms
Run the same prompt in other AI tools such as:
- ChatGPT
- Perplexity
- Claude
- Gemini
Each platform may produce slightly different results.
For example, Perplexity might list similar marketing agencies but pull from different sources. Tracking this across platforms gives a more complete picture of AI visibility.
Step 7: Track results every day
AI responses change frequently. That is why daily tracking matters.
When you run the same prompt across several days, you may notice that some businesses remain consistent while others change.
Example pattern:
Day 1 results:
- Magnetic North
- Competitor 1
- Competitor 2
- Competitor 3
- Competitor 4
Day 2 results:
- Competitor 2
- Magnetic North
- Competitor 1
- Competitor 4
- Competitor 3
Even small differences help reveal how AI recommendations shift.
Step 8: Analyze patterns after 90 days
After about 90 days of tracking, patterns start to emerge.
You will begin to see:
- Competitors who appear frequently
- Websites AI tools trust most
- Gaps where your business could appear
This information can guide your SEO and AEO strategy.
For example, if AI tools repeatedly cite a site like Yelp, it may be valuable to get your business featured there.
What are common mistakes to avoid?
Manual AI tracking is simple, but several mistakes can lead to misleading results.
- Skipping tracking days This only works if you collect data consistently. Missing days can hide trends that appear over time.
- Not using incognito browsing AI tools may personalize responses based on your history. Always use a clean browser session.
- Tracking only one prompt Customers ask AI many types of questions. Track multiple prompts related to different services.
- Ignoring cited sources The sources often reveal why certain businesses appear. These insights are essential for improving visibility.
- Only tracking one AI platform Different tools use different data sources. Tracking multiple platforms gives a more accurate view.
What does a real example look like?
Example: Local service business visibility
A plumbing company tracks the prompt:
“Who is the best business to replace my water heater in the south metro?”
They run the prompt across ChatGPT and Perplexity.
Results vary slightly between platforms, but both reference similar competitors. One result also cites a Reddit thread discussing top plumbing companies.
The business decides to participate in relevant community discussions and improve its presence on platforms that appear frequently in AI citations.
How does tracking AI visibility yourself compare to having Magnetic North do it for you?
You can absolutely track AI visibility yourself. The process simply requires time, consistency, and structured data tracking.
However, agencies typically automate parts of the process and analyze patterns across many prompts and platforms.
Feature | DIY Tracking | Magnetic North AEO Tracking |
Prompt tracking | Manual | Automated and expanded |
Platforms monitored | Limited to what you test | Multiple AI platforms tracked |
Data analysis | Manual spreadsheet review | Pattern analysis and reporting |
Optimization insights | Self interpreted | Strategic AEO recommendations |
Time required | Daily manual work | Managed and monitored |
DIY tracking works well for small teams who want basic insights. Agencies help when you want deeper analysis and faster optimization.
What should you do next?
Once you start tracking AI visibility, your goal is to turn the data into action.
The biggest signal of success is consistency. If you track prompts daily and review the patterns over time, you will quickly see which competitors appear most often and which sources influence AI recommendations.
From there, you can begin improving your presence in those sources.
Next steps
- Track multiple prompts related to your services
- Run the same prompts across several AI platforms
- Identify websites that AI tools cite frequently
- Look for ways to get your brand mentioned on those sources
You can also download the full tracking worksheet to help you get started. Learn more about AI search visibility strategies here.
digital marketing strategist
ABOUT THE AUTHOR
Hunter Krueger
Hunter graduated from the University of Minnesota in 2021 with a degree in Marketing. His entrepreneurial spirit and dedication to creating led him to start a video marketing business at 15, creating videos for businesses, schools, and TV. Through this, he found his passion for marketing and has since worked on marketing campaigns for businesses in different industries across the country. Outside of work, you'll find Hunter at Lifetime, doing home improvements with his wife, and working on new video projects on the weekends.