How to Track Brand Mentions in AI Answers with Peec AI

Peec AI is a brand-monitoring platform for AI search. It asks the same questions a buyer would ask to tools like ChatGPT, Perplexity, and Gemini, then tracks whether your brand comes up, how it is described, and which competitors get named instead.

If you have ever wondered why a competitor keeps appearing when someone asks an AI for recommendations, this is the tool built to answer that.

What is Peec AI?

It is an analytics dashboard for generative engine visibility. You enter your brand and the topics or prompts you care about, and Peec runs those prompts across multiple AI models on a schedule, recording mentions, sentiment, and citation sources.

It reports on the models it supports — the major assistants — and shows you the sources the AI leaned on, which is often more actionable than the mention count itself.

How do you set it up step by step?

1. Create an account and add your brand, including common misspellings and product names.
2. Add your competitors, so the dashboard has a baseline to compare against.
3. Define the prompts you care about — the real questions buyers ask, not keyword fragments.
4. Choose the AI models to monitor and how often to check.
5. Set alerts for new mentions or sudden drops.
6. Review the source list weekly and act on it.

The prompt list is the part people rush. Ten realistic buyer questions beat a hundred synthetic keywords, because the tool is only as useful as the questions you feed it.

What do the metrics actually tell you?

Three things worth tracking: mention rate (how often you appear at all), share of voice versus competitors, and citation sources. The third is the one that drives action. If the AI keeps citing a review site you are absent from, you know where to spend effort next.

Sentiment matters too, but treat it as a rough signal. AI descriptions of brands are short and often neutral, so sentiment swings on thin evidence.

What are the limits?

AI answers are non-deterministic. The same prompt can produce different results across runs, so a single snapshot is noisy — you need trends over weeks, not a day. Coverage depends on which models the tool queries; a model it does not track is invisible to your dashboard. And a mention does not mean a click, so pair this with your normal referral analytics.

Who is it for?

Marketing teams at brands that already get recommended offline and want to know if AI search says the same thing. Agencies pitching generative engine optimisation to clients. It is a poor fit for very small businesses with no search footprint yet — fix your fundamentals before tracking visibility in a category you are not in.

Key Takeaways

• Peec AI tracks brand mentions across major AI assistants on a schedule.
• It reports mention rate, share of voice versus competitors, and citation sources.
• Citation sources are the most actionable metric — they tell you where to invest.
• AI answers vary run to run, so read trends, not snapshots.
• Best for established brands and agencies; small players should fix fundamentals first.