Create pricing options for your product line

```
Analyze [business], [product/service] and [product/service features]. Generate [number] pricing options for [product/service] along with the features that should give great value for the options. Name the pricing options with unique and simple words.

Business = [Insert Here]

Product = [Insert Here] 

Product features = [Insert Here]

Number = [Insert Here]
```

## Cite your sources
```
You are an expert research assistant. Here is a document you will answer questions about:
[Full text of Matterport SEC filing 10-K 2023, not pasted here for brevity]

First, find the quotes from the document that are most relevant to answering the question, and then print them in numbered order. Quotes should be relatively short.

If there are no relevant quotes, write “No relevant quotes” instead.

Then, answer the question, starting with “Answer:“. Do not include or reference quoted content verbatim in the answer. Don’t say “According to Quote [1]” when answering. Instead make references to quotes relevant to each section of the answer solely by adding their bracketed numbers at the end of relevant sentences.

Thus, the format of your overall response should look like what’s shown between the tags. Make sure to follow the formatting and spacing exactly.
Quotes:
[1] “Company X reported revenue of $12 million in 2021.”
[2] “Almost 90% of revenue came from widget sales, with gadget sales making up the remaining 10%.”

Answer:
Company X earned $12 million. [1] Almost 90% of it was from widget sales. [2]


If the question cannot be answered by the document, say so.
```

Run this prompt on a real model without leaving the page. Every run is saved to your history for this prompt.

How to use

1. 1Copy the prompt as-is — no variables required.
2. 2Paste it into ChatGPT, Claude, Gemini, or any capable model.
3. 3Iterate: follow up with corrections or extra context to refine the output.