How to Track LLM Prompts in 3 Steps

LLM prompt tracking gives you visibility into how large language model tools (also called AI systems) mention your brand, so you can optimize your content strategy.

This guide shows you how to set up prompt tracking. Including how one agency used prompt tracking to improve its appearance in LLMs.

Let's go over some basics first.

What Is LLM Prompt Tracking?

LLM prompt tracking is when you monitor and analyze the text queries (prompts) a user enters into AI models and the responses the models generate.

For example, say a user asks ChatGPT, "What are the best tools for UX?"

Prompt tracking would allow you to log that query, record ChatGPT's answer, note whether your brand was mentioned, and track how the response changes over time.

The key difference from traditional SEO monitoring? Instead of tracking keyword rankings on search results pages, you're tracking brand mentions and sentiment in conversational AI responses.

And prompt tracking is becoming increasingly important as more users rely on LLMs. Because it's another way to find out how users discover your brand.

We used Semrush's AI Traffic dashboard to see how five major websites' traffic from LLMs increased from August 2024 to August 2025. All five experienced increases-and Roblox saw an increase of over 1,000%.

Website	August 2024 AI Traffic	August 2025 AI Traffic	% Increase
roblox.com	35.5K	402.7K	1,034%
nytimes.com	81.2K	218.1K	169%
dailymotion.com	10K	106.3K	963%
walmart.com	67.3K	526.9K	683%
bbc.com	111.5K	245.7K	120%

What Are the Benefits of Prompt Tracking?

The main benefit of prompt tracking is that it reveals your AI visibility, so you can take actions that ultimately contribute to more revenue..

More specifically, prompt tracking helps you:

1. Manage Your Brand Reputation

Tracking LLM prompt responses helps you catch outdated or incorrect brand information, so you can take steps to make sure users get the right information about your business.

For example, an LLM might mention a pricing tier you discontinued two years ago. And prospects might dismiss you as "too expensive" based on wrong data. And you can spot this error if you're tracking prompts.

Then, you can tweak your content strategy to encourage LLMs to get the right numbers. For example, update your review site profile with updated pricing. And respond to user questions in forums about your pricing.

2. Find Content and Messaging Gaps

Identifying the topics where AI highlights your competitors but not your brand can uncover new content opportunities.

Here's how this could work:

Say you work for a software company. And prompt tracking shows that LLMs consistently mention "integrations" when talking about your competition that you're missing out on because your site lacks content discussing your integrations.

So, you can create content that addresses your integrations to try to capture mentions from your competitors in LLMs.

3. Uncover Content Optimization Opportunities

Tracking prompts shows you which topics and content formats (like how-to guides or product comparison pages) earn the most mentions, so you can create more of what works to improve your LLM share of voice.

You might even notice that different LLMs prefer different types of content. As Steve Morris, Founder and CEO of Newmedia, did.

Steve did a visibility audit for a client and found that ChatGPT was the only LLM recommending his client as the best solution for certain queries. And that other LLMs like Perplexity and Gemini weren't mentioning his client.

"The fix was to rewrite their existing high-converting pages in forms each of the other LLMs would prefer: a Reddit Q&A thread for Perplexity, a page with a listicle for ChatGPT, and a blog post for Gemini talking about alternatives to the client's product."

Steve notes that he and his team review the output from different LLMs to determine which content each LLM prefers. They do this by entering questions into ChatGPT, Perplexity, Claude, and Gemini. And keeping track of whether the client was mentioned and whether the LLM quoted the client's page directly, provided only a link, or paraphrased the client's page with no link.

"Once you've done this for a few dozen prompts and a couple hundred passes, you start to see patterns."

In six weeks, Steve's work helped his client go from zero to five Perplexity citations. And he increased the number of prompt responses the client was mentioned in from 40% to 70%.

How to Do LLM Prompt Tracking

Prompt tracking follows a three-step process: capture prompt and response data, add tags for additional context, then analyze patterns over time to find ways to optimize your LLM strategy.

Here's how it works in practice:

Step 1: Capture Prompt and Response Logs

The foundation of prompt tracking is systematically recording AI interactions relevant to your brand or industry.

You have two options:

1. Manually set up a custom script that sends prompts to LLMs via APIs and logs the output
2. Use an LLM monitoring tool that tracks prompts automatically

Tracking prompts and outputs manually is tedious because it requires collecting a large number of prompts and consistently recording responses over time to observe how they change. It also requires a lot of technical know-how.

Which is why most marketers turn to tools.

Semrush's AI SEO toolkit lets you prompt track. And gives you additional insight to help you rank higher.

Open the Visibility Overview dashboard, enter your domain, and click "Analyze."

The top of the dashboard shows a summary of your visibility in LLMs. Including your top competitors and a breakdown of mentions across LLMs.

Scroll down to see a list of prompts where LLMs mention your brand. You'll also be able to see other brands mentioned alongside yours.

Click "View full response" for a prompt to see how the LLM mentions you and your rivals.

Clicking "Opportunities" shows you prompts where you aren't ranking but your competitors are.

Make a list of all the prompts you'd like to track.

Then click the blue "Track prompt" button, select which LLMs you'd like to track your prompts for, and include all of the prompts you'd like to track. Click "Start Tracking" to finalize your campaign.

Step 2: Tag Your Prompts

Adding tags to your prompts gives you a high-level view of which types of prompts generate the most visibility for your brand, so you know where to focus your efforts and what to improve.

Here are some tag ideas:

• Campaign tags: Link prompts to specific marketing initiatives to see which campaigns perform best
• Search intent tags: Search intent is the reason behind why someone performs a search. Label prompts with different search intents (e.g., informational) to see how each one performs.
• Topic tags: Mark topics to see which ones drive the most traffic so you know which topics to continue creating content for

You can add tags in Semrush's Prompt Tracking tool by going to the "Tags" tab, and clicking "Tag keywords."

Add a tag and select the keywords you want to apply that tag to. Click "+ Add tags" when you're done.

Then, you can review all the prompts that correspond to a particular group. As well as that group's overall visibility and average position within the LLM you specified when setting up the campaign.

For example, if your visibility for informational keywords is low, you might update your content in a way that places direct answers immediately underneath headings.

Step 3: Analyze Prompts Over Time

Reviewing your prompts and overall LLM visibility over time can help you come up with ideas that might enable you to outrank your competitors.

The Prompt Tracking tool shows you how your brand performs over time for each of your specified prompts.

If you notice your visibility goes down for certain prompts, you might:

• Restructure your content more clearly for LLMs (i.e., using schema markup -code that helps search engines and LLMs better understand your content-to improve AI visibility)
• Engage in digital PR to get more people talking about your products/services
• Build your brand's authority by getting mentions from authoritative sources

Semrush's Brand Performance gives you tailored advice to improve your rankings.

Follow these recommendations (based on their timeframes) to improve your visibility in LLMs. You'll likely see your positions in Prompt Tracking improve as a result.

Start Tracking Your Prompts

Prompt tracking is still a relatively new concept, so tracking yours can give you an edge over your competitors who might not yet be doing the same.

Semrus's Prompt Tracking tool can track keywords in LLMs. So you know where to focus your LLM optimization efforts.

Try Semrush for free and start tracking your LLM prompts.