Your visibility only means something next to everyone else's. Competitor LLM Monitoring shows who owns each prompt, the exact questions where a rival wins and you are missing, and the new brands the models just started naming alongside you — before they become a problem you cannot ignore.
No credit card required. Your competitive view in about a minute.
Presence is not the same as winning the comparison. The questions that decide deals are head-to-head, and on those, you either own the answer or a competitor does. Worse, you do not even get to pick who you are compared against. The models choose, and they keep adding names to the list faster than anyone can track by hand.
You can appear in an answer that recommends a rival first and you fourth. Showing up means nothing if a competitor owns the framing and the top spot.
You do not know the specific prompts a rival owns and you are absent from. Without that, deciding where to win share next is a guess dressed up as a strategy.
You track the competitors you know about. AI introduces buyers to the ones you do not, and by the time you notice, they have banked months of citations.
See the whole category inside AI answers: who owns which prompt, where your gaps are, and which new rivals the models just started naming next to you.
Every answer in your category mentions a set of brands, in some order, with some emphasis. Read enough of them, the right way, and a clear competitive picture appears. Here is how a stream of replies becomes a scoreboard you can act on.
Collect answers across engines and prompts in your category.
Find every brand named: you, rivals, and ones you never flagged.
Measure each brand's share and prominence per prompt.
Rank you head-to-head against each competitor.
Flag the gaps to target and the new rivals to watch.
Scattered answers in. A live, ranked picture of your whole category out.
Tracking competitors sounds simple until you realize the list is not fixed. The same recognition that finds your brand in an answer has to find every other brand too, including ones you never entered. We spot product and company names in ordinary text, tie their variants together, and tell a genuine competitor apart from a word that only looks like one.
Then, for each prompt, we measure not just who is named but how prominently and how often across repeated runs and every engine. Because the answers vary from run to run, a single reply is not a verdict. Sampling and smoothing are what turn a noisy set of mentions into a share of voice you can trust and act on.
An overall visibility number hides the matchups that matter. So we break it down to the prompt level: on each question your buyers ask, who gets cited, in what order, and whether you are there at all. Side by side, the pattern is impossible to miss.
At the top sits your share of voice, your slice of the whole conversation against each named rival. Below it, the prompt-by-prompt board shows exactly which questions you own and which a competitor has taken.
Once you can see where a rival owns the answer and you are absent, the to-do list writes itself. We rank those gaps by how much demand sits behind each prompt and how firmly a competitor holds it, so you spend effort where it changes the score the most.
No more spreading content thin across everything. You get an ordered set of winnable prompts, each one a place a competitor is beating you in front of real buyers right now.
Most tools only watch the competitors you type in, so your view slowly drifts out of date as the market moves. Radar works the other way. It watches for any brand that keeps turning up beside you in answers, decides whether it is really a competitor in your category, and surfaces it the moment it appears.
You hear about an emerging rival from the models themselves, while it is still emerging, instead of discovering it a year later when it is already on every shortlist. Your competitive set stays current with no manual upkeep.
Discovering a competitor nobody told us about is harder than tracking one we were given. Radar reads the brands that co-occur with you across thousands of answers, judges whether each is a real player in your category rather than a stray noun or an unrelated company, merges its name variants, and ranks it by how often and how prominently it shows up beside you. That is unsupervised discovery with a high bar for relevance, which is what keeps the alerts meaningful instead of noisy.
| Single-brand tracking | Competitor LLM Monitoring |
|---|---|
| Reports your visibility alone | Benchmarks you head-to-head against rivals |
| One blended number | Share of voice, prompt by prompt |
| Cannot show where a rival wins | Marks the exact prompts you are missing from |
| Leaves you to prioritize by gut | Ranks the gaps worth closing first |
| Tracks only the rivals you enter | Discovers new ones automatically with Radar |
| Goes stale as the market shifts | Stays current with no manual upkeep |
Two jobs that get sharper the moment you can see the whole field, not just yourself.
"We were competing against Okta and WorkOS on ads with no results. GrackerAI flipped our strategy, and prospects now arrive already knowing why we are the right fit."
When you can see the whole field inside AI answers, competitive strategy stops being guesswork. You know who owns each prompt, exactly where to take share, and who just entered the race — all from the same place your buyers are getting their advice.
Find the sources a rival uses to win a prompt, so you can earn a place in the same answers.
Turn your ranked competitive gaps into a prioritized plan of exactly what to fix and publish.
The answers behind every share-of-voice score come from monitoring across all eight engines.
Get your free AI Visibility Score in about a minute. See exactly where you stand, where competitors are beating you, and the ranked fixes to get into the answer. No credit card, no commitment.
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