How to track your brand in ChatGPT, Perplexity, Google AI Overviews & Google AI Mode

To track your brand in ChatGPT, Perplexity, and Google AI Mode, define high-intent prompts, assign each to a target country, run them on a schedule through local browser sessions, and score visibility, position, and sentiment over time. Manual spot-checks do not scale; scheduled collection does.

This playbook walks through setup for marketing teams in Asian markets.

Which platforms should you track first?

Platform	Why it matters in Asia
ChatGPT	Highest consumer and enterprise awareness; strong for category discovery
Perplexity	Live web citations; highly sensitive to country IP
Google AI Mode	Integrated into search behaviour; critical for intent-heavy queries
Google AI Overviews	Appears on traditional Google searches; separate collection from AI Mode
Gemini	Growing in Android and Google Workspace markets
Microsoft Copilot	Enterprise buyer exposure in office environments

Start with ChatGPT + Perplexity + Google AI Mode in your primary market. Add others as you scale.

Step 1: Build your prompt library

Organize prompts into three buckets:

Category discovery — “best [category] for [audience] in [country]”

Comparison — “[your brand] vs [competitor]”

Brand-specific — “is [your brand] good for [use case]”

Write prompts in the language your buyer uses. Japanese buyers often ask in Japanese even when your product is English-first.

Target: 15–30 prompts per market to start.

Step 2: Assign countries

Each prompt maps to one country. A prompt about Singapore SMEs should be collected from a Singapore residential IP — not a global default.

Quratic supports: Singapore, Japan, South Korea, Malaysia, Indonesia, and Hong Kong.

Step 3: Add competitors

List brands that appear when AI answers your prompts. SOV and position metrics require a defined competitive set.

Update competitors when you enter new segments or markets.

Step 4: Choose models per project

Not every project needs all six models. Match models to buyer behaviour:

• B2B SaaS in Japan: ChatGPT + Perplexity + Google AI Mode
• Consumer fintech in SG: add Google AI Overviews
• Enterprise in HK: add Copilot for office-worker exposure

Step 5: Set refresh cadence

Plan tier	Typical cadence
Starter	Weekly
Growth	Weekly
Pro	Every 48 hours
Advanced / Agency Pro	Daily

Faster cadence catches competitive moves sooner. Start weekly if budget-conscious; increase when SOV becomes a reported KPI.

Step 6: Review the dashboard

Each collection run scores:

• Visibility — were you mentioned?
• Position — first, second, or third brand named?
• Sentiment — positive, neutral, or negative framing?
• Citations — which domains influenced the answer?

Filter by model, country, prompt, and date range. Export trends for monthly reporting.

Common mistakes to avoid

1. Checking once manually — AI answers change weekly
2. US-only collection for Asian markets — wrong competitive set
3. Ignoring citations — mentions follow sources; fix sources to fix mentions
4. One global prompt list — language and competitors differ by country
5. Tracking rankings instead of answers — SEO position ≠ AI mention

FAQ

Can I track branded prompts only?

Yes, but category prompts reveal discovery opportunities where you are not yet on the buyer’s radar. Balance both.

How do I know which prompts to prioritize?

Use search volume signals and sales team input: what questions do prospects ask before they book a demo?

Do I need engineering resources?

No. Platforms like Quratic handle collection, storage, and scoring. You provide prompts, countries, and competitors.

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