Guide·6 min read

7 Questions Every Brand Should Ask About Its AI Visibility

You don't need a complicated AI search strategy to get started. You need to understand what happens when customers ask AI about your category.

Most businesses testing their AI visibility start in the same place.

They open ChatGPT and type their company name. The answer looks reasonably accurate. Good news? Maybe. But knowing that ChatGPT recognises your business isn't the same as knowing whether it recommends you. If you want a useful picture of your AI visibility, these are the questions we'd start with.

01Does AI recommend us when our name isn't mentioned?

This is the big one.

Don't ask:

"Tell me about [your brand]."

Ask the question a potential customer would ask before they know which brand to choose.

For a supplement company"What are some good Australian protein powders for someone who doesn't tolerate dairy well?"
For software"What's a good project management platform for a 50-person construction company?"
For skincare"Which Australian skincare brands are good for sensitive skin?"

Then see whether you appear. Brand recognition and recommendation visibility are different things.

02How often do we appear?

One question isn't enough. Change the customer need, product attribute or use case and the recommendations may change. That's why we prefer to think in terms of Recommendation Rate. Across a representative set of buyer questions, how frequently is your business recommended?

Recommendation Rate 17%

Your brand appeared in 17% of relevant AI recommendations tested.

The objective isn't to obsess over one percentage point. It's to establish a baseline you can compare over time.

03Who gets recommended when we don't?

Your score means very little without competitive context. If you appear in 30% of relevant recommendations and your closest competitor appears in 12%, that's one story. If they appear in 65%, it's another. Look for competitors that repeatedly appear across different questions. They are occupying recommendation opportunities that you aren't.

The interesting question then becomes why.

04Which questions are we winning?

Your overall visibility can hide important strengths. Perhaps you're rarely recommended for broad category questions but consistently appear when customers mention a particular ingredient, feature or use case. It tells you what AI appears to associate strongly with your brand. Those associations can reveal positioning strengths you may want to reinforce.

05Where are we completely absent?

The reverse is even more useful. Look for clusters of questions where your brand almost never appears.

Skincare

Performs well around hydration but disappears from conversations about sensitive skin.

Software

Appears for small-business questions but not enterprise ones.

Pet food

Recommended for general nutrition but disappears when allergies are mentioned.

These aren't just missing mentions. They can represent gaps between the position a brand wants to occupy and the position AI currently appears to understand.

06Does AI describe us accurately?

Now ask about your brand directly.

What does the AI think you sell? Who does it think you're for? What differentiates you? Where are you available? What are you known for? Which competitors does it compare you with?

Look for outdated information, vague descriptions and missing differentiators.

Key takeaway

Being visible isn't enough if you're visible for the wrong reasons.

Recommendation and representation need to be considered together.

07Is our visibility improving?

This is where AI visibility becomes a measurement rather than an experiment. Save your question set. Establish your baseline. Make improvements. Then ask the same questions again. You don't need every response to remain identical. AI systems are dynamic and some variation is inevitable. You're looking for the broader pattern.

Are you appearing more frequently? Are you closing the gap with competitors? Are you entering recommendation areas where you were previously absent? Are AI systems describing the brand more accurately?

That is far more useful than periodically opening ChatGPT and hoping you like what you see.

InView perspective

Start with observation, not optimisation

There is already plenty of advice about how to "rank in ChatGPT".

Before implementing any of it, understand your starting point.

What gets measured can be investigated.
What gets investigated can be improved.

Answer these questions for your brand

InView tests realistic buyer questions across AI platforms.

See where you appear, who gets recommended instead and where the biggest opportunities sit.

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