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4 months ago
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Why you should improve prompt tracking efficiency
There is a temptation to track every prompt for every keyword. Resist this urge. Cluttering up your prompt profile can quickly inflate costs and exhaust resources because:
- Using prompts that don’t match the specifications of the tool may give you false positives and misleading results
- Tracking too many prompts can make analysis unwieldy and repetitive
- Choosing prompts that don't align with your business goals reduces ROI
How to do prompt tracking on a budget
Qualify your audience
Use the data you already have to see which LLMs your audience prefers before spending money on prompt tracking.
Research by Wix shows that LLMs' preferences can vary by gender, age, and country. For instance, Millennials are more likely to shop using AI, and women are much more likely to use ChatGPT than to use Grok.
Now let’s drill down into the content. Review which landing pages already receive AI traffic and look for topic patterns across those URLs. If you notice that there is a particular topic that drives AI traffic, consider leaning into creating more pages like this and optimizing your prompts to reflect this interest.
You’ll be able to choose either ChatGPT or Gemini models to track in Moz AI Visibility and compare performance across both models.
From here, you can add up to 5 related terms for your brand and up to 3 competitors, along with their related terms (optional). Next, add a list of topics for prompt generation and click Generate Prompts. But before you do that, make sure you prepare your brand topics.
Check for regional differences before finalizing your branded list. For example, in the US, Toyota's brand interest is more model-focused (Toyota Corolla), while in the UK, it's more brand-focused (Toyota vehicle manuals).
These differences might seem minor, but they make all the difference if you’re a local business. That’s why you should use Domain Keyword Topics to confirm branded terms, validate topic themes, and identify any regional keywords you’re missing.
For example, I originally assumed that Nissan, Kia, and Hyundai were Toyota's closest competitors, but based on People Also Search For analysis, I’ve changed the competitors to Nissan, Honda, and Mazda.
Finally, confirm what the tool is tracking. In this example, the main metric in this tool is brand mentions.
Use AI tools like ChatGPT to cluster queries and identify non-branded prompt variations. Here’s an example of how I did it.
Moz AI Visibility tool allows you to enter four topics to generate prompts for tracking brand mentions. I’ve used some of the non-branded topics ChatGPT highlighted, including car reliability and fuel efficiency car.
Avoid prompts that create false positives
Separate prompts into three types: branded, comparison, and non-branded.
Branded prompts trigger your brand name and inflate visibility, which doesn’t tell you whether you’re being recommended naturally.
For example, if I ask a question like “Do Toyotas have good resale value for families?”, the natural response will be to mention Toyota, because the question is about Toyota. If I'm measuring mentions, then every single question that starts and centres on my brand name is a wasted prompt.
I could simply increase the number of questions that include my brand name and thereby improve my mentions. Branded prompts definitely have value, particularly around sentiment, but it's worth reviewing your prompts to ensure that they're not telling you needless information.
Consideration around branded prompts should also apply to competitors. For instance, if we used the prompt, “Do Mazdas have good resale value for families?”, we are extremely unlikely to see a mention of a rival brand.
Comparison prompts sometimes trigger your brand, but they still skew results depending on how the question is phrased. So, a question like “how does the comfort of Hyundai cars compare to for road trips?”, might mention other car types, or go into detail about Hyundai.
Next, remove prompts that are off-topic, have no commercial intent, or are unlikely to trigger brand mentions. If a prompt never produces brand lists or recommendations, it won’t help you measure visibility, and it doesn’t deserve budget.
Keep prompts tied to user needs and common comparison patterns, especially high-intent phrases. A smaller prompt set gives you clearer benchmarks and signals you can act on.
Next steps: Test, iterate, and grow
This space is dynamic, so expect change. You need to test, try things, and see what happens.
Start by testing topics in groups. Cluster prompts around high-intent topics, monitor results, address weak areas, rinse and repeat. Prompt tracking works better when you treat it like CRO, not keyword research. Go in with a goal and a hypothesis you want to test.
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