Right now, someone is asking ChatGPT about your industry. The question is: is ChatGPT recommending your brand?
If you don't know, you're flying blind. Here's how to find out.
Why track ChatGPT specifically
Three reasons:
- AI shapes the consideration set. When someone asks for a recommendation, they get 2-4 brand names - not links to explore. If you're not named, you're not considered.
- Responses aren't static. "Best invoicing tool" and "best billing software for small teams" can yield different brands. You need to track the variations that matter.
- Each platform differs. ChatGPT, Perplexity, and Claude recommend different brands 67% of the time. ChatGPT is the largest, so start there.
Method 1: Manual tracking (free)
Build your prompt list
Think about what your customers would ask:
- Category: "What's the best [your category]?"
- Use-case: "Best [category] for [specific need]?"
- Comparison: "[Your brand] vs [competitor]"
- Problem: "How do I [problem your product solves]?"
Start with 10-15 prompts. Cover your main category, your top use cases, and your key competitor matchups.
Test and document
For each prompt in ChatGPT, record:
- Are you mentioned? (Yes/No)
- What position? (1st, 2nd, 3rd)
- What's the sentiment? (Positive, neutral, with caveats)
- Who else is mentioned?
A simple spreadsheet works. The goal is a baseline you can compare against later.
Repeat regularly
ChatGPT's answers shift with model updates, training data refreshes, and query phrasing. A single test is a snapshot, not a strategy. Set a weekly reminder for your top 10 prompts at minimum.
The limitation: Manual tracking works for a handful of prompts. It doesn't scale to 50+ prompts across 5 platforms, and it's the first thing that gets dropped when you're busy.
Method 2: Automated tracking
AEOscope automates what manual tracking can't sustain:
- Daily monitoring across ChatGPT, Perplexity, Claude, Gemini, and Grok
- Position and sentiment tracking for every prompt
- Competitor analysis - who appears alongside or instead of you
- Trend detection - visibility changes over days, weeks, and months
- Alerts when your visibility shifts significantly
You add your prompts, set your brand and competitors, and get a dashboard that updates daily.
What to do with the results
Tracking is only useful if it drives action:
Not mentioned at all? Your brand signals are too weak for that query. Focus on reviews, media coverage, and content that directly addresses what the prompt asks.
Mentioned but ranked low? Analyze what top-ranked competitors have that you don't. Often it's stronger reviews, more specific positioning, or more recent coverage.
Rankings declining? Something changed - a competitor's PR campaign, a model update, or negative sentiment surfacing. Investigate and respond.
Strong on ChatGPT but weak on Perplexity? Each platform weighs signals differently. Perplexity leans heavily on current web content; ChatGPT blends training data with web search. Adjust your strategy per platform.
The goal isn't a one-time audit. It's a feedback loop between AI visibility data and marketing action.
AEOscope runs your prompts daily across ChatGPT, Perplexity, Claude, and more - so you always know where you stand.
