Company description for ChatGPT: what to write

Start your company description for ChatGPT with a short list: your offer, buyers, evidence, language, boundaries and an owner for each fact. Pick one real task to test the description. Once it works, turn it into maintained company context for AI.

Why the output sounds like every other SaaS company

A request such as “write a product page for our platform” defines an activity while leaving the business largely blank. The model has seen familiar patterns for describing software: streamlined work, seamless collaboration, better productivity and faster growth. It has no access to your qualification rules, implementation boundaries, buying process or approved evidence unless you provide them.

The result can be fluent and structurally sound while remaining interchangeable with a competitor’s copy. Repeatedly asking for a more specific answer may change the wording. It cannot supply company facts that were absent from the input.

OpenAI’s prompt engineering guidance recommends clear, specific instructions with enough context for the model to understand the request. It also treats prompting as iterative: review the response, then clarify, add context or simplify the task. That approach becomes much more useful when the company maintains a reusable source of context that it reuses in every chat.

A short checklist for one task

Choose a task, such as drafting a response to a product question. Put the following points in a document your team can review and update. Agree on access rules before entering confidential information into a tool.

1. Offer: what you sell, who it helps, what is included and what is excluded.
2. Buyer: the problem they describe and their questions before purchase.
3. Evidence: approved features, projects and materials you can share. Record a question for an expert if proof is missing.
4. Language: product names, tone and examples that fit your brand.
5. Boundaries: prices, timelines, outcome promises and decisions a person must approve.
6. Owner: who confirms and updates each fact when the offer changes.

OpenAI recommends clear instructions and enough context. For a draft customer response, select only what that task needs. Anthropic also describes selecting a small, useful set of context.

An example to fill in

We sell: [product and buyer]. We help solve: [specific problem]. The scope includes: [confirmed capabilities]. Do not promise: [boundaries]. Use these sources: [links]. If a fact is missing, ask: [information owner].

Fill in the fields from your documents and check them with the owners before using the description in a tool.

Check one answer

Ask the tool to perform the chosen task. Check the offer, buyer, evidence and boundaries. If it invents a feature, add a rule or source and try again. After this first check, the company context guide shows how to maintain sources, ownership and updates.

Frequently asked questions

Can we paste our website into a chat and use that as context?

The website is a useful source of public facts. It rarely contains qualification rules, exceptions, approval requirements or internal boundaries. Use it as input to an edited context package.

Do we need a separate company description for every AI tool?

A shared core can support multiple tools. Each implementation receives the section relevant to its task, permissions and technical interface. Keep company knowledge separate from provider-specific instructions where practical.

Can the model prepare the context document for us?

It can extract candidate facts, identify contradictions, ask structured questions and prepare a draft. Accountable people in the business approve facts, decisions, usage rights and boundaries.

When is the first version ready?

It is ready when the selected task can be completed without guessing critical facts, missing information remains visible and the output passes the agreed review criteria. Complete documentation of every business process is unnecessary at this stage.

Your next step

Choose a real task and record the basic facts needed to answer it. For the wider structure of sources, ownership and maintenance, read the guide to building company context for AI. If the knowledge is fragmented or nobody owns the process, explore our company knowledge base for AI and agents service.