# What is grounding in AI? > Grounding ties an AI's answer to facts you provide or a trusted source. What it means, a real tax-firm email example, and how to check that it worked. Source: https://learn.ynteractive.com/content/glossary/grounding · Updated 2026-10-01 · Free from Stepthrough (https://learn.ynteractive.com) [AI basics](https://learn.ynteractive.com/content/glossary#topic-ai-basics) · [AI glossary](https://learn.ynteractive.com/content/glossary) Updated October 1, 2026 · By [Robert Breen](https://learn.ynteractive.com/content/about) Grounding means tying an AI model's answer to specific, trusted information, such as facts you provide, a document or search results, so it states what the source supports instead of what merely sounds right. A grounded answer can be checked claim by claim against its source. ## Why it matters for a small business An ungrounded model writes from general patterns. Asked when a client's tax refund will arrive, it may offer a reassuring "by the end of October" because that is what helpful replies tend to say. A grounded model writes from your facts, and if the facts say no one can promise a date, neither does the reply. For any message a customer or client will rely on, grounding is the difference between a draft you can send after a quick read and a draft you have to rewrite. It also gives you a way to check the work: every claim should point back to a fact. Anything that does not is a red flag. ## In a real lesson: Reply Faster to Clients Chasing Their Refund: ChatGPT for Tax and Bookkeeping Firms In the [tax firm reply lesson](https://learn.ynteractive.com/content/chatgpt-reply-client-refund-emails-accounting), Greg Alvarez wants a refund date from Northgate Tax & Bookkeeping, a made-up firm, but two forms are still missing. After pasting his thread, you click **Paste facts**: eight numbered facts, including what arrived on Sep 13, the 1099-INT and consolidated 1099 still outstanding, the policy of finishing within 5 business days of getting every document, and fact 5, that the firm cannot promise a refund date because the IRS decides. The instructions add the grounding rule: "Don't invent details or promise anything that isn't in the facts." Even so, the first draft promises a refund by the end of October. **Paste check** asks for a table of every claim and the fact behind it. Five of seven match; the refund date does not, and neither does a line saying the return will be filed within 5 business days, since filing waits until Greg and Lena e-sign. **Paste fix** swaps in wording the facts support. The numbering is what makes grounding checkable: each sentence in the reply can be traced to fact 1 through 8. [Try this lesson free](https://learn.ynteractive.com/modules/accounting-reply-faster) or [read the step-by-step guide](https://learn.ynteractive.com/content/chatgpt-reply-client-refund-emails-accounting). ## Common confusions ### Grounding vs RAG Grounding is the goal: answers tied to trusted sources. [RAG](https://learn.ynteractive.com/content/glossary/rag) is one way to get there, by retrieving documents automatically. Pasting a numbered facts list, as in the reply lessons, is grounding done by hand. ### Grounded vs guaranteed correct Grounding narrows what the model draws on, but it can still misstate a fact or stretch one. That is why the lessons add a check step and a final human read. ## Tips - Number your facts so each claim can be traced to one. - Include the things you cannot promise as facts too, like "We can't promise a refund date." - Ask for a claim-by-claim check table before you send anything important. ## Related terms [Hallucination](https://learn.ynteractive.com/content/glossary/hallucination) · [Retrieval-augmented generation (RAG)](https://learn.ynteractive.com/content/glossary/rag) · [Self-check prompt](https://learn.ynteractive.com/content/glossary/self-verification) · [Prompt constraints](https://learn.ynteractive.com/content/glossary/prompt-constraints) · [Knowledge base](https://learn.ynteractive.com/content/glossary/knowledge-base) ## Where you use it: free lessons - [Reply Faster to Clients Chasing Their Refund: ChatGPT for Tax and Bookkeeping Firms](https://learn.ynteractive.com/content/chatgpt-reply-client-refund-emails-accounting) (ChatGPT, 10 min) - [Reply Faster: Turn a Messy Customer Email Thread into a Clear, Friendly Reply](https://learn.ynteractive.com/content/chatgpt-reply-to-customer-emails) (ChatGPT, 9 min) - [Reply Faster to Claim-Status Emails: ChatGPT for Independent Insurance Agencies](https://learn.ynteractive.com/content/chatgpt-reply-claim-status-emails-insurance-agency) (ChatGPT, 10 min) ## Prompt templates that use it [Appointment reschedule reply prompt](https://learn.ynteractive.com/content/prompts/appointment-reschedule-reply-prompt) · [Billing question reply prompt](https://learn.ynteractive.com/content/prompts/billing-question-reply-prompt) · [Blog post to social posts prompt](https://learn.ynteractive.com/content/prompts/repurpose-blog-into-social-posts-prompt) · [Buyer inquiry reply prompt](https://learn.ynteractive.com/content/prompts/buyer-inquiry-reply-prompt) ## Visual guides Grounding in a few slides, with the same guide written out as text. - [5 Steps to Answer a Claim-Status Email Without Overpromising](https://learn.ynteractive.com/content/visual/5-steps-claim-status-email-reply): A visual guide for insurance agencies: answer a client's claim-status email with ChatGPT, then check every claim against your facts before you send. - [5 Steps to Turn a Messy Email Thread into a Clear Reply](https://learn.ynteractive.com/content/visual/5-steps-reply-to-a-messy-customer-thread): A visual guide: paste a customer thread with numbered facts, check every promise in ChatGPT's draft, fix it and send it from Gmail. - [Mistake to Avoid: Promising a Date Nobody Confirmed](https://learn.ynteractive.com/content/visual/mistake-a-date-nobody-confirmed): A visual tip for late orders: give the AI only timing you have confirmed. If there is no date yet, say when you will update the customer. [All visual guides](https://learn.ynteractive.com/content/visual) ## Frequently asked questions **How do I ground ChatGPT in my own facts?** Paste a short numbered list of what is true and what you can promise, tell it not to go beyond those facts, and ask it to check its draft against the list. **Is grounding only for customer emails?** No. It helps anywhere accuracy matters: summaries that should use only the transcript, estimates that should use only your price list, and agents that should answer only from your documents. [All AI glossary terms, A to Z](https://learn.ynteractive.com/content/glossary) · [Free prompt templates](https://learn.ynteractive.com/content/prompts)