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How to measure brand awareness in AI compared with your competitors

More and more people ask AI assistants like ChatGPT and Gemini before they choose a product or a provider. AI has become a trusted advisor people turn to for advice: a new channel of word of mouth. The brands AI names help decide which brands your customers know. Stead is software for brand awareness benchmarking in AI: it measures how well known your brand is against your competitors.

Aided and unaided brand awareness in AI

In market research, unaided awareness shows whether people name a brand on their own, and aided awareness whether they recognize it. Stead measures both in AI. Unaided: does AI name your brand on its own when customers ask for providers or products in your field? Aided: does AI know your brand when someone asks about it directly, or does it mix it up with another company? The gap between the two shows whether AI knows your brand but still recommends others.

Share of voice against your competitors

Stead shows your share of all brand mentions in AI answers and your competitors' share, by area and by country. Alongside it you see visibility, meaning how often AI names your brand at all, your position in the answer, and the sentiment AI uses when it talks about you. These are the brand awareness metrics that matter where customers form their first impression today. Think of it as competitive brand analysis and brand health tracking for the channel where customers now ask for advice.

Brand tracking over time

Stead tracks your brand awareness continuously. You see how your share moves after a campaign, a new product or a change to your website, and when a competitor catches up. Simulations enable the next step: you try out drafts as often as you like and see beforehand how well they would perform with AI. That is faster and cheaper than trying a change on the market first: simulations are a strong indicator of how AI would respond, without you having to make the change for real.

Numbers you can rely on

Stead asks every question twice a day across three models. That was a deliberate choice: AI answers the same question differently every time. In our measurements, two answers to the same question share only about a quarter of the companies they name. Twice the answers make your numbers more reliable and show the effect of a change sooner. That matters, because the market keeps moving: competitors take action of their own, new models come out. The sooner you see the effect, the more certain it is that it comes from your change.

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