Available with the following plans:
Copper GPT helps you explore your CRM data using natural language — so instead of building reports or clicking through filters, you can ask questions and get real answers in seconds.
This guide will walk you through:
What Copper GPT is best used for
Real examples of questions you can ask
How to get more accurate results
What to keep in mind while using it
Resources:
What Copper GPT is best at
Copper GPT is designed to help you:
Understand what’s happening in your pipeline
Pull specific data points quickly
Compare performance across timeframes or segments
Identify trends and patterns
Generate summaries and next steps
It works by interpreting your question and deciding whether to:
Retrieve data from your CRM
Aggregate and calculate results
Analyze patterns
Ask for clarification if your request is too broad
Common use cases
1. Checking pipeline status
Get a quick snapshot of what’s happening right now.
Try asking:
What open opportunities are currently in the High Touch pipeline?
Which opportunities are expected to close this month?
How many opportunities are in Negotiation right now?
2. Finding gaps or risks
Identify where opportunities may be stalled or need attention.
Try asking:
Which opportunities haven’t had any activity in the last 14 days?
Do I have late-stage opportunities with no recent emails or calls?
Which opportunities are sitting in the same stage the longest?
3. Pulling numbers and lists
Get counts or filtered datasets without building a report.
Try asking:
How many open opportunities are owned by [owner] across revenue pipelines?
List opportunities won last month for companies in Canada
Show me opportunities above $25,000 in the High Touch pipeline
4. Understanding trends and performance
Move beyond lists to insights and patterns.
Try asking:
Are opportunities taking longer to close this quarter compared to last quarter?
Which stage has the highest drop-off rate?
Are expansion opportunities contributing more revenue than new business?
5. Exploring insights and summaries
Let Copper GPT surface takeaways for you.
Try asking:
What trends do you see in opportunities we won vs. lost last month?
What’s changed in our pipeline performance this quarter?
Where are we losing the most opportunities and why?
How to get better answers
Copper GPT works best when your question mirrors how your CRM is structured.
Be specific
Include details like:
Pipeline name
Timeframe
Owner
Stage
Activity type
Example:
Instead of:
“What’s going on with our pipeline?”
Try:
“Which opportunities in High Touch haven’t had activity in the last 14 days?”
Start simple, then build
Begin with a focused question, then layer in complexity.
First: “How many open opportunities are in High Touch?”
Then: “How many of those are expected to close this month?”
Then: “Are those opportunities progressing slower than last quarter?”
Keep one topic per chat
Copper GPT uses conversation context when responding.
Follow-up questions → stay in the same chat
New topic → start a new chat
Use exact names when possible
Copper GPT matches based on how your data is stored.
“Acme Inc.” will work better than “Acme”
Use full names for companies, pipelines, and users when possible
What to expect
Copper GPT is designed to give structured, data-backed answers — but like any AI system, results may vary depending on how questions are phrased.
Here’s what to keep in mind:
Broad questions may result in clarification prompts
Very large or complex queries may require narrowing your scope
Relative timeframes (like “this quarter”) may occasionally need clarification
Cross-record queries work best with standard fields
If something doesn’t look right, try:
Rephrasing your question
Adding more detail
Starting a new chat
Why this matters
Copper GPT changes how you interact with your CRM.
Instead of:
Building reports
Applying filters
Manually analyzing data
You can:
Ask questions
Explore patterns
Get answers instantly
The more clearly you ask, the more valuable the answers become.
Start exploring
If you’re already using Copper GPT, try starting with one of the questions above and build from there. Not sure where to begin? Start simple and then follow your curiosity.