How to Start AI Prompt Tracking for Your Business

In today’s AI ecosystem, many potential customers turn to AI platforms instead of search engines to compare products, get recommendations, and find the right service providers.

That’s why businesses need to ensure their brands are recognized and recommended by AI assistants. One way to do this is through AI prompt tracking.

But what is prompt tracking, and how can it help your business? This article explains how it works, its different types, how to implement it, and how to identify the prompts that drive traffic to your website. Let’s get started!

What Is Prompt Tracking?

AI prompt tracking is a method to check how your brand appears on AI engines by running the same set of prompts and monitoring how their responses mention, rank, or cite your brand and competitors. From this data, you can measure how your AI visibility changes over time.

You can think of it as keyword rank tracking, except that it is done on AI-based search engines rather than on traditional ones.

While keyword rank tracking measures where your web pages rank for specific keywords, AI prompt tracking checks whether an AI assistant or Google AI Overviews mentions your business in their responses.

Why Do Businesses Need to Do Prompt Tracking?

An overall AI visibility score can show whether your brand appears or not. However, AI prompt tracking explains much more about where and how your brand appears. With AI prompt tracking, you will know:

• Which questions mention your brand and where those questions fall in the customer journey, from ToFu to MoFu and BoFu.
• Which industry-related questions competitors dominate and how much share of voice your brand holds on key topics.
• The sentiment behind each brand mention.
• Which questions cite your brand as a source without recommending it to users, a phenomenon known as ghost ranking.

How Prompt Tracking Works

AI prompt tracking involves five steps:

• Define your prompts. Write out the questions potential customers commonly ask, for example, “event videotron vendor.”
• Choose AI engines and target countries. Select the AI platforms and countries you want to monitor, then test each prompt separately on every platform and in each country, as responses can vary.
• Track regularly. Run the same prompts daily, weekly, or monthly to compare results over time.
• Analyze each response. Note which brands are mentioned, their position and how they are described, as well as the sources cited.
• Summarize into metrics. Turn the analysis into measurable numbers, such as mention rate, sentiment, and AI share of voice.

Read also: AI Mention: How It Works & Tips to Get Your Brand Mentioned

Prompt Tracking vs Keyword Tracking

Prompt tracking and keyword tracking may seem similar because both measure your brand’s visibility. However, they work differently. Here’s how they compare:

Types of Prompts to Monitor

In general, there are four types of prompts you should track to learn how AI presents your brand at every stage of the buying decision. 

1. Revenue Prompts

Revenue prompts are what users type in when they’re close to buying, and they’re your chance to be the recommended answer.

Examples:

• “Best [product] for [problem]”
• “[Your product] vs [competitor product]”
• “Is [your product] worth it?”

By monitoring these prompts, you can see what AI says about your brand right at the moment of purchase, then refine that narrative to drive conversions.

2. Reputation Prompts

Reputation prompts reveal what AI says about your brand when users ask about its reputation, pricing, or quality.

Examples:

• “What do people think about [your brand]?”
• “Is [your product] too expensive?”
• “What makes [your product] effective?”

Monitoring these prompts helps you correct inaccurate AI-generated information about your brand. For example, negative descriptions can damage users’ perceptions and drive them toward competitors.

To address this, identify the sources behind the negative claims and provide accurate clarifications on the relevant platforms. You can also publish corrective content on your company website for AI platforms to reference over time.

3. Competitor Prompts

Competitor prompts are actually similar to revenue prompts, but the difference lies in your competitors. These prompts show whether AI presents your brand as a relevant alternative when users research a competitor’s product.

Examples:

• “[Competitor product] vs [your product]”
• “Which is better for [problem], [competitor product] or [your product]?”
• “Alternatives to [competitor product]”

By monitoring these prompts, you can identify areas where your brand is losing out, so your business positioning can be sharpened to grow your market share.

4. Gap Prompts

Gap prompts reveal conversations where competitors are mentioned but your brand does not appear. Every gap is an opportunity to increase brand awareness and reach new customers.

Unlike revenue and competitor prompts, where your brand is already part of the conversation, gap prompts are used to monitor conversations that don’t involve your brand at all.

Examples:

• “[Competitor product A] vs [competitor product B]”
• “Affordable [product] for [problem]”
• “Switching from [competitor product]”

By identifying gap prompts, you can decide which content and channels to invest in so your brand makes it onto potential customers’ consideration lists and purchase decisions.

Read also: GEO & AEO KPIs: How to Measure AI Optimization Metrics

How to Run Prompt Tracking

Now that you understand how prompt tracking works, follow these steps to produce data you can trust and use as a basis for business decisions:

1. Decide Which Types of Prompts to Track

Start with a small set of core prompts that reflect what your business actually sells. Focus on the questions buyers ask early in their research, before they’ve narrowed things down to a shortlist. Five to ten prompts is enough to start.

For example:

• “What are the best SEO and GEO tools?”
• “What tools do companies use for [your main need]?”

2. Choose Your Testing Channel

Before running your prompts, choose a testing mode and keep it consistent. Turn off search to measure an AI model’s built-in knowledge from its training data, or turn it on to evaluate answers based on live search results.

3. Run Each Prompt Multiple Times on Every AI Model

Run each core prompt at least 5–10x per AI model. Analyze each model separately before combining the results, as models differ in tuning, system prompts, and training data coverage.

For example, ChatGPT and Gemini may list different competitors for the same prompt. Treat each model as a separate data source, then identify patterns across them.

4. Extract Entities, Topics, and Attributes

From each AI answer, you need to record three key types of information: the entities, the topics associated with those entities, and the attributes attached to each brand. Use a consistent recording format so the data can be compared across tests and over time.

For example:

Prompt: “What does Brand A offer, and who uses it?”

AI answer: “Brand A is an AI optimization platform used mainly by small to mid-sized teams. It is often described as trustworthy and affordable, and is frequently compared with Brand B, which tends to be positioned as faster but less accessible.”

Extraction result:

• Entities: Brand A, Brand B
• Topic: AI optimization
• Brand A attributes: Trustworthy, affordable
• Competitor (Brand B) attributes: Fast

5. Map Answer Coverage and Identify Gaps

Build a table that maps the entities and attributes of all your competitors, then mark where your brand doesn’t appear yet. If a competitor is consistently linked to an attribute your brand lacks, that is a gap you can work on.

6. Monitor Changes Over Time

Run the same set of core prompts every month and watch the direction of change. Note whether brand associations are getting stronger, which new topics are appearing, or which gaps are starting to close.

Read also: Google vs. GPT Search, Who Leads the Search Revolution?

Common Mistakes in Prompt Tracking

AI prompt tracking may look simple, but there are a few common mistakes that can make your data less accurate and your insights less reliable. Here are the ones people make most often:

• Tracking too many prompts at once. Answers always vary slightly, so a large prompt set creates noise and makes it hard to spot real patterns.
• Writing biased prompts. For example, naming a brand outright or describing your business category in the language your own brand tends to use.
• Running each prompt only once, which means the result may not reflect the bigger picture.
• Counting brand mentions without understanding their connotation. A mention can be positive, neutral, or negative, and the count alone doesn’t tell you which. 

How to Find the Prompts That Drive Traffic for Your Business

Worthwhile prompts can come from two directions: the places where potential customers look for answers to their needs, and the data your business already has. Here are some sources you can use:

• Keyword research. Look for keywords with commercial and transactional intent, such as “best [category] platform.”
• Google’s People Also Ask (PAA). This box lists related questions that users also ask about your main keyword, especially comparison and evaluation questions such as “best alternatives to [product].”
• Perplexity’s related questions. These work much like PAA, showing the comparison and evaluation questions users often ask.
• Reddit, Quora, and LinkedIn in your industry. Watch for recurring questions, especially ones that compare several options or voice complaints.
• Sales call transcripts. Questions that prospects ask again and again before or during their buying decision can make strong prompts.
• Semrush’s prompt suggestions. This feature suggests queries related to customers’ buying decisions, whether they already surface your brand or your competitors.

Boost Your Business’s Visibility in AI Search with cmlabs!

AI prompt tracking requires careful planning and technical expertise, from selecting the right prompts and running consistent tests to analyzing the results.

While leading LLM prompt tracking platforms can help collect data, selecting the right prompts and interpreting the findings still require technical expertise, especially when they influence your brand’s competitive position. That’s why working with an expert can make a difference.

So before you start tracking, begin by checking your brand’s AI visibility with a FREE AI Visibility Audit from cmlabs. The audit is carried out by cmlabs’s professional team, is 100% free, requires no contract, and can be completed in 3–5 business days.

Once you have the audit results and know how visible your brand is across various AI platforms, you can move on to AI Search Optimization (GEO/AEO) Services by cmlabs. We can tailor our strategies to your target market and the characteristics of each AI platform you want to reach.

So, don’t let your business get left behind in the AI era. Contact our team now to learn how we can help improve your brand’s AI visibility!