Back up your price with a research report clients trust
A real estate agent uses this exact two-step flow when a seller wants a higher price than the comparable sales support.
A sketch of what you'll get back.
Your prompt
Fill in your details. Skip any you like.
ChatGPT and Claude open with your prompt already typed in. It's copied too, just in case.
The prompt that gets copied
I'm a [YOUR ROLE, e.g. real estate agent] and my client wants [CLIENT'S PRICE, e.g. to list at $650,000], but I believe [MY RECOMMENDATION, e.g. $615,000 will sell faster]. The details: [KEY FACTS, e.g. 3-bed, updated kitchen, busy street]. Research the market behind this decision. Find recent comparable sales or deals, how long similar items took to sell at different prices, current demand, and anything that pushes the price up or down. Cite every source. Then write it up for my client in plain words: 1. A one-paragraph summary of what the market is saying. 2. The three strongest pieces of evidence. 3. Two paths: price at their number versus price to compete, with the likely trade-offs of each. 4. A respectful closing that leaves the final call with them. Keep it factual and calm. Flag anything you couldn't confirm.
Run a deep research report on the market behind your price, then have Claude turn it into a short, client-ready PDF that explains your reasoning.
Step by step
- Turn on deep research in ChatGPT and paste the prompt with your client's situation.
- Copy the finished report into a new Claude chat.
- Ask Claude for a 2-page client report with a summary, the evidence and two price options.
- Check every number against your own data before you send it.
What you'll get
A sourced market write-up turned into a polished client report that shows two pricing paths and the evidence behind your recommendation.
Deep research has usage limits that vary by ChatGPT plan.
- Made for
- Small business owners, Consultants
- Works in
- ChatGPT, Claude
