ChatGPT bid writing works when you use it to analyse the tender, plan answers and edit drafts built from your own evidence. It wrecks tenders when you let it invent facts, write generic answers or handle confidential documents carelessly. Check every claim, adapt every answer, and be ready to explain your AI use if a public buyer asks under PPN 017.
What UK bidders need to know about AI
PPN 017
AI transparency
Disclosure may be requested
Public buyers can ask suppliers how AI was used to prepare bids.
GOV.UKProcurement Act 2023
Most advantageous tender
Evaluators score content against criteria, whoever or whatever drafted it.
legislation.gov.ukUK GDPR
Applies to AI use
Personal data in CVs or case studies needs a lawful basis before you paste it into any AI tool.
ICONCSC guidance
LLM risks
Be careful what information you share with public AI services.
NCSCCan you use ChatGPT for bid writing?¶
Yes. Nothing in the Procurement Act 2023 prevents suppliers from using generative AI for bid writing, and many bid teams now use ChatGPT, Claude, Copilot or specialist tools every day. But the buyer scores what you submit, not how you produced it, and evaluators are quick to spot answers that are fluent but empty. PPN 017, published by the Cabinet Office in 2025, lets public buyers ask suppliers to disclose how they used AI in preparing a bid, and some tenders now include that question. Treat ChatGPT as a fast, tireless assistant, never as the author.
Where ChatGPT helps and where it hurts¶
| Task | Good use of AI? | Why |
|---|---|---|
| Summarising a long specification | Yes, with checking | Quick overview; verify against the source |
| Building a compliance matrix | Yes, with checking | Extracts questions and requirements fast; AI can miss items in appendices |
| Breaking a question into sub-points | Yes | Helps you plan a complete answer |
| Outlining an answer from your notes | Yes | Structure from your own facts |
| Editing to a word limit | Yes | Good at tightening prose; check nothing important is cut |
| Plain English and readability | Yes | Removes jargon and long sentences |
| Writing an answer from nothing | No | Produces generic text with no evidence, which scores poorly |
| Generating case studies or statistics | Never | Invented facts in a bid can be misrepresentation |
| Pricing | No | Needs your costs and judgment |
The three ways AI wrecks a tender¶
1. Invented facts
Large language models can produce convincing but false details: an accreditation you don't hold, a statistic with no source, a regulation that doesn't say what the answer claims. In a tender that isn't just embarrassing. Your bid becomes part of the contract, false statements can lead to exclusion, and under the Procurement Act 2023 misrepresentation is a discretionary exclusion ground. Every fact in an AI-assisted answer must be checked against your own records.
2. Generic answers
Ask a general chatbot to "write a mobilisation plan for a cleaning contract" and you get something that sounds right and scores badly: no named people, no timescales linked to the buyer's start date, no reference to their sites, no evidence. Evaluators read many answers to the same question, and frankly they can tell a pasted chatbot answer from a real plan within a few lines. When several bidders submit similar AI-written text, the ones with specific, evidenced content stand out, and the generic ones sink.
3. Confidentiality and data leaks
Tender documents are often confidential, and your bid contains commercially sensitive pricing, staff details and client information. Before pasting anything into a public AI service, check the tender's confidentiality terms, your own data protection obligations under UK GDPR, and the AI tool's data settings. Consumer versions of some AI services may use your conversations to improve their models unless you change the settings, while business plans generally offer stronger data controls. Read the current terms of the specific tool you use, and never paste personal data such as CVs without a lawful basis.
How to use ChatGPT for tenders, step by step¶
A safe ChatGPT tender writing workflow
Step 1
Check the rules
Read the tender's confidentiality terms and any AI disclosure question, and confirm your AI tool's data settings.
Step 2
Analyse the question
Ask the AI to break the question into sub-points and list what evidence a top score would need.
Step 3
Gather your own evidence
Collect your real case studies, data, processes and named roles. This is the part AI can't do for you.
Step 4
Draft from your facts
Give the AI your notes and evidence and ask for a structured draft using the question's sub-points as headings.
Step 5
Verify every claim
Check each fact, number and commitment against your records and delete anything you can't prove.
Step 6
Adapt and add specifics
Add the buyer's name, sites, KPIs and priorities, and your win themes.
Step 7
Human review and record
Have a colleague score the answer against the criteria, and keep a note of how AI was used for PPN 017.
ChatGPT prompts for bid writing that actually help¶
Good prompts give the AI context, your own facts and a clear task, and tell it not to invent anything. These examples use placeholders in square brackets. Replace them with your real information.
- Question analysis: "Here is a tender question and its scoring criteria: [paste]. List every sub-point the answer must address and the evidence an evaluator would expect for a top score. Do not write the answer."
- Compliance matrix: "From this tender instruction document [paste non-confidential extract], list every mandatory requirement, deadline, word limit and document to submit in a table."
- Structured draft: "Using only the facts below, draft a [500]-word answer to this question: [question]. Use the sub-points as headings. Do not add any facts, figures or claims that are not in my notes. Facts: [your notes]."
- Gap check: "Here is my draft answer and the scoring criteria. Which sub-points are missing or weakly evidenced? Which sentences are generic?"
- Editing: "Cut this answer to [450] words without removing any numbers, names or commitments. Use plain UK English and the active voice."
- Evaluator view: "Act as a public-sector evaluator using this 0 to 5 scale [paste]. Score this answer and explain what would move it up one mark."
Weak vs strong: what AI-written answers look like¶
How will you ensure continuity of service during the first month of the contract?
In the first month, continuity rests on three measures. First, all 14 transferring staff keep their current rounds and supervisors, so residents see familiar faces. Second, our Contract Manager, who led our 2024 mobilisation for a neighbouring council, is on site daily for weeks 1 to 4 and holds a 15-minute call with your contract officer every Monday and Thursday. Third, a relief team of three staff covers any absence within two hours. We will report daily completion rates against the specification for the first four weeks, moving to monthly reporting from week 5.
Why it scores
- Specific measures with numbers
- Named role with relevant experience
- Clear reporting
- Written from real facts, possibly AI-edited, then verified
Illustrative example. The strong answer could be AI-assisted, but every fact comes from the supplier.
How to edit AI drafts so they sound like you¶
Even when the facts are right, AI drafts often carry a recognisable voice: long sentences, stacked adjectives and phrases such as 'we pride ourselves', 'holistic approach' or 'at the heart of everything we do'. Evaluators don't mark down AI as such, but they do mark down answers that say little. Edit every draft with three passes.
- Substance pass: underline every claim and check that each has a number, name, date or piece of evidence next to it. Delete or fix those that don't.
- Buyer pass: check the buyer's name, sites, KPIs, service users and priorities appear where relevant, and that the vocabulary matches their specification.
- Style pass: cut filler words, split long sentences, switch passive to active voice, and read it aloud. If a sentence could appear in any company's bid, rewrite it.
PPN 017: disclosing AI use in public tenders¶
PPN 017 sets out how public buyers can improve transparency about AI use in procurement. Buyers may include questions asking whether and how suppliers used AI to prepare their bids, and may consider how AI is used in delivering the contract itself. It doesn't ban AI in bid writing. Answer any disclosure question honestly and specifically. A clear, factual description, such as 'we used a generative AI tool to summarise the specification and edit draft answers written from our own evidence; every answer was reviewed and approved by our bid manager', is far better than a vague denial or an unexplained yes. Buyers are mainly concerned about accuracy, confidentiality and whether you can really deliver what the bid describes.
- Keep a short record for each bid: which tools you used, for which tasks, and who reviewed the output.
- Be able to confirm that all facts, figures and commitments were checked by a person.
- Explain how confidential and personal data were protected.
- If you use a freelance bid writer, ask how they use AI, because the disclosure applies to your bid.
Write a simple AI policy for your bid team¶
If more than one person writes your bids, agree a one-page AI policy. It keeps quality consistent, protects your data and makes PPN 017 questions easy to answer. It doesn't need to be complicated.
- Approved tools: which AI services staff may use for bid work, and on which account type.
- Data rules: what may never be pasted in, such as personal data, pricing, client names or documents marked confidential.
- Permitted tasks: analysis, outlining, editing and drafting from supplied facts; never inventing evidence.
- Verification: every AI-assisted answer is fact-checked and signed off by a named person.
- Record keeping: a short note per bid of tools and tasks, for disclosure if asked.
- Review: revisit the policy when tools, tender terms or guidance change.
Using ChatGPT on specific question types¶
| Question type | Where AI helps | What you must supply |
|---|---|---|
| Method statements | Structuring steps, checking all sub-points are covered | Your actual processes, resources, timings and evidence |
| Social value | Mapping commitments to the buyer's chosen outcome and metrics | Commitments you can deliver, costs, partners and past results |
| Mobilisation | Turning a task list into a clear timeline | Real dates, named roles, TUPE numbers and risks |
| Case studies | Tightening wording to a consistent format | Verified client details, values and outcomes |
| Quality management | Linking your process to the buyer's KPIs | Your audit regime, reporting and performance data |
Notice the pattern. In every case, AI adds value by organising and polishing information you already hold. The marks come from the specific facts in the right-hand column, and no language model can supply those for you. Teams that get the most from ChatGPT tender writing spend the time they save on gathering better evidence and doing a proper review.
General chatbot vs specialist AI tender software¶
| General chatbot (e.g. ChatGPT) | Specialist AI tender software | |
|---|---|---|
| Source of content | Your prompt plus general training data | Your company profile and evidence library |
| Tender awareness | Only what you paste in | Reads tender packs, questions and weightings |
| Finding tenders | No | Often includes UK tender feeds and alerts |
| Bid/no-bid | Manual prompting | Built-in fit scoring in many tools |
| Output | Chat text to copy | Structured answers, often exported to Word |
| Best for | Ad hoc analysis and editing | Regular bidding where consistency matters |
Common mistakes when using AI for tenders¶
| Mistake | Fix |
|---|---|
| Pasting the whole tender and asking for 'the bid' | Work question by question from your own evidence |
| Leaving AI tone in: 'seamless', 'robust', 'leverage' | Edit into plain, specific UK English |
| Trusting AI-cited regulations or statistics | Check the original source every time |
| Uploading confidential documents to a consumer account | Check tender terms and tool data settings first |
| Using the same AI draft for several buyers | Adapt each answer to the buyer and specification |
| No record of AI use | Keep a simple log for PPN 017 questions |
Tools that help¶
Compare dedicated tools in our guides to AI bid writing software, AI tender software and AI proposal software.
Related guides: How to write a bid · How to improve bid writing · How to answer tender questions · Bid writing examples · How to win tenders
Sources
FAQs
Frequently asked questions
- Yes. No UK rule bans it, but you must check every fact, adapt answers to the buyer and protect confidential data. Public buyers may ask you to disclose AI use under PPN 017.
- It's good at analysing questions, structuring answers, editing and plain English. It's poor at writing answers from scratch, because it has no knowledge of your business and can invent facts.
- Only if the buyer asks, but under PPN 017 public buyers can include questions about AI use. Answer honestly and keep a record of how you used AI and who checked the output.
- Evaluators score content, not authorship, but unedited AI text tends to be generic and full of stock phrases, which scores poorly regardless. Specific, evidenced answers score well however they were drafted.
- Check the tender's confidentiality terms, your data protection obligations and the tool's data settings first. Avoid pasting personal data or commercially sensitive pricing into consumer AI accounts.
- For occasional analysis and editing, a general chatbot can help. For regular UK public-sector bidding, specialist tools that draft from your own evidence and understand tender structure are usually more reliable. See our AI bid writing software comparison.
- It means using large language models to help produce bid content: summarising tenders, planning and drafting answers, and editing. It speeds up work but needs human verification and tailoring.