Stop guessing which AI prompts matter: find and test them with BrandInAI

Stop guessing which AI prompts matter: find and test them with BrandInAI

Monitoring your brand in AI sounds simple until you reach one of the most important questions: what should you actually monitor?

You can track dozens or even hundreds of prompts, but more queries do not automatically mean better insights. The real value comes from choosing questions that reflect your business goals, customer intent and the topics that actually matter to your brand.

BrandInAI helps you do exactly that. Instead of guessing which prompts might be useful, you can generate new queries, refine them, test your visibility across selected AI models and only then decide whether they are worth adding to continuous monitoring.

In practice, the workflow becomes much more structured:

• generate prompts around a specific goal,

• review and edit the suggested queries,

• test a selected prompt,

• check your brand and competitor visibility,

• add only the most relevant queries to monitoring.

This means your monitoring setup becomes more focused from the very beginning.

Start with the business question you want to answer

Creating useful AI prompts from scratch is often more difficult than it seems. A query can be perfectly valid and still produce very little business value if it does not reflect the way people actually research products, services or companies.

That is why BrandInAI lets you start with the context behind the query. You can define what kind of prompts you want to generate and what area of your business they should focus on.

You can specify, for example:

• how many prompts you want to generate,

• what intention they should represent,

• which product or service they should relate to,

• what business area you want to explore.

BrandInAI then generates a set of potential queries based on that direction. Instead of starting from a blank field and brainstorming every question manually, you get a ready-made starting point that can be refined further.

The generated prompts are not fixed. If one of them is almost right but needs more precision, you can edit it before adding it to your monitoring set.

Generate a complete set of relevant prompts in seconds

The feature is particularly useful when you want to expand an existing project or explore a new area of your market.

You may want to investigate a new product category, understand how AI responds to recommendation queries or see whether your brand is associated with a particular customer need. Instead of manually creating a large list of possible questions, BrandInAI can generate a relevant set for you.

This makes it easier to explore areas such as:

• new products or services,

• different customer intentions,

• specific use cases,

• comparison and recommendation queries,

• new market categories.

You can then review the suggestions and decide which ones deserve further analysis.

The goal is not simply to generate as many prompts as possible. It is to help you find the prompts that can actually tell you something useful about your AI visibility.

Test the prompt before you commit to monitoring it

This is where the feature becomes much more powerful than a standard prompt generator.

Before adding a query to continuous monitoring, BrandInAI allows you to test it and see how your brand performs.

You can select the AI models you want to analyse and run a visibility check for that specific prompt. The system can then show whether your brand appears and how competitors perform in the same context.

That means you do not have to wait for days or weeks of monitoring data before discovering that a query is not useful.

Instead, you can validate it first.

A prompt can reveal several different scenarios:

• your brand already has strong visibility,

• your brand appears, but competitors perform better,

• competitors are visible while your brand is missing,

• the query produces little useful competitive insight.

Each of these outcomes helps you make a better decision about whether the prompt should become part of your long-term monitoring.

Choose the AI models that matter to your business

AI visibility is not identical across every model.

Your brand may appear in one system and be absent from another, which means the same prompt can produce very different results depending on where it is tested.

BrandInAI lets you choose which AI models should be included in the analysis. You can also control whether additional web search functionality should be used during the test.

This gives you more flexibility when evaluating a query. Instead of treating AI visibility as one universal result, you can check performance in the environments that are most relevant to your strategy.

That is especially important when your audience is more likely to use some AI platforms than others.

See your token cost before running the test

Testing multiple prompts should not mean losing control over usage.

Before the analysis starts, BrandInAI dynamically calculates the token cost, so you can see the expected consumption in advance.

This becomes especially useful when you are:

• testing multiple variations of the same query,

• building a larger monitoring set,

• comparing different business areas,

• experimenting with several AI models.

You know the cost before running the check, which makes the entire process easier to manage.

See whether your brand or your competitors own the query

A simple presence check is useful, but competitor visibility adds much more context.

If your brand does not appear in an answer, the next question is obvious: who does?

BrandInAI allows you to analyse the same prompt from both perspectives. You can see whether your own brand is visible and how competitors perform in the same response environment.

This can quickly reveal whether:

• your brand dominates a specific topic,

• competitors are consistently more visible,

• one competitor has a particularly strong position,

• there is a visibility gap worth monitoring over time.

This makes prompt testing useful not only for selecting queries, but also for identifying competitive opportunities.

A prompt directly related to one of your services may show that your brand is already strongly associated with that topic. Another may reveal that competitors are being recommended while your company is barely visible.

Both results are valuable — but for completely different reasons.

Build your monitoring around evidence, not assumptions

Many AI visibility projects begin with educated guesses. Teams create a list of questions that seem relevant and start monitoring them immediately.

The problem is that not every reasonable-looking prompt produces useful data.

BrandInAI gives you a way to validate those assumptions first.

Instead of following a process like:

brainstorm → add everything → wait for results

you can work in a much more deliberate way:

generate → refine → test → evaluate → monitor

This makes the final set of tracked prompts more focused and easier to manage.

It also means the data you collect over time is based on queries that have already demonstrated some strategic value.

Explore new visibility opportunities as your business evolves

Prompt generation and testing is not only useful during initial setup.

Your products, market and customers will continue to change. New services may launch, competitors may enter your category and new types of questions may become important.

When that happens, you can use BrandInAI to quickly explore a new area without rebuilding your entire monitoring setup.

For example, you can:

• generate prompts around a newly launched product,

• test how AI responds to a new use case,

• explore queries related to a new customer segment,

• check whether your brand is associated with a new category,

• compare visibility with competitors before starting continuous tracking.

This turns the feature into an ongoing research tool rather than just an onboarding shortcut.

Track the prompts that actually matter

The quality of AI visibility monitoring depends heavily on the questions behind it.

Tracking 200 weak prompts is not necessarily better than tracking 50 queries that closely reflect your market, customers and business goals.

With BrandInAI, you can generate relevant prompts, refine them, test them across selected AI models and see how both your brand and competitors perform before deciding what should be monitored long term.

The result is a cleaner and more intentional monitoring strategy.

Instead of asking:

“Are we tracking enough prompts?”

you can focus on a much more useful question:

“Are we tracking the right ones?”

BrandInAI helps you answer that before you spend weeks collecting data around queries that do not matter.

Generate your next set of AI prompts, test your visibility and build a monitoring set based on real results - not guesswork.