See Which Competitors AI Recommends
When an AI assistant answers a comparison or recommendation question, it names some brands and not others. AI competitor analysis tracks who shows up instead of you, and how often — rolled up into a single share-of-voice number you can watch over time.
You and your competitors, on the same questions.
AI BrandSight tracks the competitors you add alongside your own brand, on the exact same prompts, run on the exact same schedule. That means a direct, apples-to-apples comparison — not a guess based on separate searches at different times.
Of every brand mention, how many were yours.
For each tracked prompt, AI BrandSight records who was named and how often — a direct, apples-to-apples comparison across the exact same questions.
| Brand | Mention rate |
|---|---|
| You | 54% |
| Competitor A | 47% |
| Competitor B | 31% |
Example data — for demonstration purposes only.
Find the prompts where you're invisible.
The most useful signal isn't the overall average — it's the specific prompts where a competitor consistently appears and you don't. AI BrandSight surfaces those gaps directly, so you know exactly which questions to focus on instead of guessing across dozens of possible prompts.
Every mention rolled into one number.
Individual mention rates tell you about one prompt. Share of voice adds up every mention across all your tracked prompts and expresses your count as a percentage of the total — you versus every tracked competitor combined — so you can watch one number move week to week instead of re-reading every individual answer.
Example data — for demonstration purposes only.
When the market leader isn't the AI leader — and why the trend matters more than the number.
It's common for the largest player in a category by revenue or headcount to not be the brand AI most often recommends — and for a smaller, more specifically-described competitor to win more of the comparison prompts. That's only visible by tracking the same set of competitors on the same prompts every day, rather than assuming market position and AI visibility move together. The same applies to reading share of voice itself: a share that holds steady around 35% for a month, then drops to 20% over two weeks, is worth investigating even though 20% might sound reasonable in isolation. The number alone doesn't say much — the direction it's moving is what turns it into something you can act on.
Common questions
What is AI competitor analysis?
AI competitor analysis tracks which competitors an AI assistant names when it answers a comparison or recommendation question, on the same prompts and the same schedule as your own brand, so the comparison is direct.
How many competitors can I track?
You can add as many competitors as you want to track alongside your own brand within a project; each is checked on the same daily schedule.
What is AI share of voice and how is it calculated?
Share of voice is the percentage of AI brand mentions, across your tracked prompts, that belong to you versus each tracked competitor. AI BrandSight counts every mention observed in your daily checks and expresses your count as a share of the total.
What's a good AI share of voice?
There's no universal benchmark - it depends on your category and how many competitors you track. It's most useful as a trend for your own brand over time, not a fixed target.
Can I see exactly which prompts a competitor wins?
Yes. AI BrandSight surfaces the specific prompts where a competitor appears and you don't, so you know exactly which questions to focus on.
Does share of voice or competitor analysis predict search rankings?
No. Both measure observed AI mentions, not traditional search ranking position - related but separate things.
Does AI competitor analysis explain why a competitor is favored?
No - it shows what's happening (who appears, how often, in which answers), not why an AI model made a particular choice, since that reasoning isn't published by AI providers.
See who AI recommends instead of you.
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