Free Brand Radar for AI Visibility Tracking in LLMs
Track your brand visibility across LLMs like ChatGPT, Perplexity, Grok, Claude and Gemini.
Paste any LLM answer (ChatGPT / AI Overviews / Perplexity / Claude output) and this free brand visibility tracker will detect brand mentions, competitors, and basic sentiment. For automated llm brand monitoring across prompts + daily alerts, use the app.
Tip: test a “money prompt” without your brand name (e.g. “best X tools”, “alternatives to X”, “X vs Y”).
Want automated llm brand monitoring?
This is a one-time ai visibility checker. In Arvow, you can track prompts daily across multiple LLMs, store history, compare competitors, and get alerts when your visibility changes.
We detect brand mentions (brand + domain), competitors, and estimate sentiment near those mentions.
What is AI visibility tracking in LLMs?
AI visibility tracking is the process of monitoring whether large language models mention (or recommend) your brand for the prompts that drive customers — “best tools”, “alternatives”, “X vs Y”, and “how to” queries.
This page includes an ai visibility checker (manual snapshot). If you need ongoing ai visibility tracking, you’ll want automated llm brand monitoring — because answers can change over time, across models, and even across small prompt variations.
H2: How to use this free Brand Radar
This free brand radar is a lightweight free brand visibility tracker:
Choose a non-branded prompt you care about (don’t include your brand name).
Run it in an LLM (ChatGPT / AI Overviews / Perplexity / Claude, etc.).
Paste the response above.
The ai visibility checker detects:
your brand/domain mentions
competitor mentions
basic sentiment around mentions
If you want to track brand mentions in LLMs automatically (daily checks, prompt history, alerts), use the workflow inside app.arvow.com.
H2: Why LLM answers change (and why monitoring matters)
Even if you test the same prompt, results can change due to:
model updates
different retrieval/citation behavior
new content being published (or competitors updating their pages)
prompt phrasing differences
That’s why a one-time check is useful — but real ai visibility tracking requires repeated monitoring.
H2: Manual check vs automated LLM brand monitoring
Manual tools like this are great for a quick snapshot. Automated llm brand monitoring is what you use when you care about consistency across prompts and time.
Manual (this page): single pasted response, quick validation
Automated (Arvow): daily tracking, history, alerts, competitor comparison, multi-LLM monitoring
3) FAQ
Does this tool work as an AI visibility checker?
Yes — this free Brand Radar is an ai visibility checker that analyzes a pasted LLM answer and detects brand mentions, competitor mentions, and basic sentiment.
Is this a free brand visibility tracker?
It’s a free brand visibility tracker in “manual mode” (you paste an output). For automated tracking over time, use the Arvow app.
What is AI visibility tracking?
AI visibility tracking is monitoring whether LLMs mention your brand for important prompts (best/alternatives/vs/how-to) — and whether that visibility improves or declines over time.
What is LLM brand monitoring?
LLM brand monitoring means continuously checking multiple LLMs for the prompts you care about, saving history, and getting alerts when things change.
How do I track brand mentions in LLMs?
Use this page for a quick manual check. For systematic monitoring (daily checks, prompt sets, and change alerts), track prompts in Arvow.
Why shouldn’t I include my brand name in the prompt?
Because then you’re testing recall, not discovery. The valuable test is whether the model recommends you without being prompted to.
Why does my competitor show up but not me?
Usually because the sources LLMs rely on (listicles, comparisons, directories, how-to guides) include them and don’t include you — or your positioning isn’t clear enough for the model to map you to that category.
Is the sentiment detection accurate?
It’s a fast heuristic. It’s useful as a directional signal, not a perfect classifier.
How often should I do AI visibility tracking?
If AI visibility matters to revenue, weekly is the minimum. Daily monitoring is best when you’re actively trying to improve inclusion.
What do I do after I find I’m not mentioned?
Find the sources being cited and get included (or publish better comparison/listicle content) — then monitor whether your visibility changes over time.
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