The prompts you track are the foundation of everything the AI Visibility Tracker tells you. Good prompts give you a clear, accurate picture of where you stand. Poor ones return noisy data that’s hard to act on. This guide covers how to think about prompt selection and how to find the right ones for your business.
What makes a good tracking prompt
AI search engines respond to natural, conversational questions, not keyword strings. Your prompts should reflect how a real person would ask ChatGPT, Claude, or Perplexity about your topic area. The difference matters: best domain registrar is a search engine keyword. What’s the best domain registrar for a small business? is an AI prompt.
Good tracking prompts share a few characteristics:
- They’re specific enough to have a clear answer.
- Broad prompts like tell me about web hosting generate sprawling responses that cite dozens of sources. Specific prompts like which domain registrar has the best customer support? generate focused responses where citation patterns are meaningful.
- They’re the kind of question where a brand citation makes sense.
- AI tools cite sources when they’re recommending products, comparing options, or explaining how something works. A prompt like what is a domain name? is unlikely to cite any brand. The AI will just explain the concept.
- They reflect genuine buying or research intent.
- Prompts that sit at the intersection of your topic and a user decision, such as comparisons, recommendations, how-tos, and best-for questions, are where citations happen and where visibility matters.
Intent types worth tracking
Not all prompts are equally likely to generate brand citations. Here’s how different intent types tend to perform:
- Comparison — X vs Y, best tools for Z, which platform is better for…
- High citation likelihood. AI tools actively recommend and compare options here.
- Recommendation / how-to — how do I choose a domain registrar?, what should I look for in…?
- High citation likelihood. AI tools pull in sources to back up their advice.
- Troubleshooting — why is my domain not resolving?, how do I fix…?
- Medium likelihood. Useful if your brand publishes strong how-to content.
- Educational / definition — what is WHOIS privacy?, how does DNS work?
- Lower likelihood unless your brand is well-established as an educational authority on the topic.
- Transactional — where can I buy a .com domain?
- Variable. Worth tracking, but results can be inconsistent across AI platforms.
Focus your prompt list on comparison and recommendation intent. These are where rankings are most contested and where improving your visibility has the most commercial impact.
Using AI Prompt Research as a starting point
If you’ve already run an analysis in the AI Prompt Research tool, you have a ready-made list of prompts people are likely to ask AI about your topic area. These are generated from your business entities, categorised by intent, and scored by business value, which makes them a strong starting point for your visibility tracking.
Look for prompts in the backlog tagged as high business value and with comparison or how-to intent. These are the prompts where AI citations matter most and where your competitors are already being recommended. Import the ones that feel most relevant into your visibility tracker topics.
Note: You don’t need to track every prompt from the backlog. Pick the ones that represent the decisions your customers are making when they’re closest to choosing a product like yours.
How to structure your topics
Group related prompts into topics that map to a single theme or decision. A good topic has prompts that are asking variations of the same underlying question. Different angles on one subject, not a scatter of unrelated queries.
For example, a topic called Domain Registrar Comparison might contain:
- What’s the best domain registrar for a small business?
- Which domain registrar has the cheapest renewals?
- GoDaddy vs Namecheap vs Porkbun — which should I use?
- What domain registrar do most web developers recommend?
- Is it worth paying more for a premium domain registrar?
These all live in the same competitive space. If your brand is getting cited for some but not others, that tells you something specific about where your content is strong and where it has gaps.
How many prompts per topic
Aim for 5–10 prompts per topic. Fewer than five and a single run’s variability can distort your results. AI responses aren’t perfectly consistent, so one or two data points isn’t enough to draw conclusions. More than ten and the results become harder to interpret as a coherent picture.
Prompts are locked after the first run
Once you start tracking a topic, the prompts are locked. This is by design. Changing your prompts between runs would mean comparing different questions week to week, which makes trend data meaningless. If you want to test a different set of prompts, create a new topic rather than modifying an existing one.
This means it’s worth spending a little time on your prompt selection before you start. You can always add new topics later, but you can’t edit the ones already running.