As of 13 August 2026, AI can create good, better and best pricing options for your proposal.

Most people should hand this to a purpose-built tool.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsThe available tool data does not give a price for a human pricing or proposal service.

If this goes wrong: the customer chooses a poorly positioned option, or you accept work at a margin you cannot sustain.

What to actually do

Use a tool built for this
The route this page recommends
One pick for this task
Copy.ai
Copy.ai is a purpose-built AI copy and go-to-market content workflow tool that can help turn approved pricing structures into consistent proposal content.

Do it yourself

Second choice

A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

How to actually do it

Open your current price list, costing sheet and proposal template, then copy the relevant figures, deliverables, margins, payment terms and limits into a working document.
Write down the customer's stated needs, buying context, budget signals, decision criteria and any scope that is still uncertain.
Paste the collected information into the prompt, replacing every bracketed section and leaving unknown items marked as unknown rather than guessing.
Paste the completed prompt into a chatbot and ask it to produce the three options, the calculation checks, the comparison table and the unanswered questions.
Compare every drafted price and margin calculation with your costing sheet, and compare each inclusion, exclusion and delivery limit with the scope you can actually fulfil.
Change any unsupported claim or assumption, choose the option structure you can deliver, then paste the approved wording into your proposal template before sending it.

Prompt

Create three pricing options for this proposal: Good, Better and Best.

Customer and situation:
[customer type, needs, buying context and any stated budget]

Scope and deliverables:
[what will be included in the work]

My commercial inputs:
- Direct costs: [costs]
- Required minimum margin or markup: [rule]
- Capacity or delivery constraints: [constraints]
- Current price list or comparable packages: [details]
- Contract, payment and revision limits: [details]

Use only the facts I provide. Do not invent costs, results, discounts, guarantees or customer requirements. If a necessary input is missing, state the assumption clearly and show what I need to confirm.

For each option, provide:
1. A short name and one-sentence positioning
2. Price and payment structure, using my figures and currency
3. Included deliverables, limits and exclusions
4. Delivery timeframe, only if supplied by me
5. The customer's practical benefit, without unsupported claims
6. The difference from the option below it
7. Any risks, assumptions or margin concerns

Make Good viable but limited, Better the likely choice, and Best a credible premium option. Do not make Better or Best artificially attractive by weakening Good. Show the arithmetic behind each price, check it against my minimum margin rule, and flag any calculation you cannot verify.

Finish with a concise comparison table and a list of questions I must answer before sending the proposal. Write in plain British English and do not use hype.

Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

Hand it to a person
The distant third
A person who owns the outcome does this end to end, worth it when the failure is dear.

What it gets wrong

AI cannot know the customer's real budget, internal politics or willingness to pay unless those facts are supplied.
AI cannot decide whether a lower entry option will open the account or anchor the customer below a sustainable price.
AI cannot validate your costs, delivery capacity, tax treatment or contractual obligations from incomplete information.
AI cannot carry responsibility if the chosen package loses the deal or creates work at an unacceptable margin.

Even on a YES, the friction has a name: judgement under ambiguity and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

Axis	Score (0–2)
Output	2
Inputs	2
Verification	1
Liability	2
Effort delta	2
Total	9 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT create good, better and best pricing options?: Yes. Give it your scope, costs, margin rules, limits and customer context, and it can draft three differentiated packages with pricing logic and proposal wording. You still need to approve the commercial judgement and check the figures.
How do I structure good, better and best pricing?: Make Good a viable, limited solution, Better the clearest fit for the customer's main need, and Best a credible premium option with additional value. Keep the differences in scope, access, speed, support or risk reduction clear rather than simply changing the price.
Can AI decide how much I should charge?: It can organise your costs, margin rules, existing prices and customer information into options, but it cannot reliably know what this customer will pay. Treat its price as a structured draft and make the final decision using your commercial knowledge.
What information does AI need to create pricing packages?: Provide the deliverables, direct costs, minimum margin or markup, delivery limits, payment terms, revision limits, comparable prices and what the customer values. Also provide any budget signal or buying constraint, and ask the model to label missing information instead of inventing it.

Nearby answers

All Proposals & quotes rulings

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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