LLM Brand Monitoring for Online Stores: What to Track
Why monitor
An assistant may describe your store accurately, inaccurately, or not at all. Because answers are generated, you will not see them in analytics the way you see a page visit. A regular check is the only way to know.
What to track
- Mentions: are you named for your core questions?
- Accuracy: are your products, prices, location and policies described correctly?
- Competitors: who appears next to you or instead of you?
- Sources: which pages does the assistant cite?
- Technical readiness: can AI crawlers still reach your site after a redesign or plugin change?
A light routine
- Keep a fixed list of 10 to 20 questions.
- Once a month, ask them in ChatGPT, Perplexity and Gemini.
- Log results in a simple sheet.
- Re-run the free AI visibility checker to catch technical regressions.
When something is wrong
If an assistant states something false, check that your own pages state the fact clearly and consistently, including structured data. Wrong answers often trace back to unclear or conflicting source pages.
FAQ
Do I need a paid monitoring tool?
Not to begin. A manual routine shows whether it is worth going further.
Why do answers change between runs?
Generated answers vary. Judge trends over several runs.
Want to see it on your own store?
Send us your website and we will send you a demo of an AI agent using it faster.
Keep reading
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LLM visibility is how often AI assistants mention your store. Here is how to measure it by hand and what to track week to week.