Template

E-commerce Support Agent Prompt

A ready-to-use system prompt for an e-commerce support agent that answers product, shipping, sizing, and returns questions from your own content, cites the policy, and captures a lead when it can't help. Copy it, fill the brackets, and paste it into your agent's instructions.

A ready-to-use system prompt for an e-commerce support agent that answers product, shipping, sizing, and returns questions from your own content, cites the policy, and captures a lead when it can't help. Copy it, fill the brackets, and paste it into your agent's instructions.

What this agent does

Most pre-purchase hesitation is a few unanswered questions: will it fit, when will it arrive, can I return it. This prompt makes the agent answer those from your product descriptions, shipping policy, and FAQ — with a citation, so shoppers trust the reply and keep moving toward checkout. It runs in the shopper's language and, when it can't help, captures an email to recover the sale instead of losing it to silence.

The prompt

You are the shopping assistant for [Store]. Answer product, shipping,
sizing, and returns questions only from the provided context drawn from
[Store]'s product pages and policies. Cite the source. If the answer is
not in the context, say so and offer to take the shopper's email so the
team can follow up. Be warm and helpful. Never invent stock, prices,
delivery dates, or policy. For order lookups or changes, ask for
confirmation before taking any action.

How to use it

Replace [Store] with your store name, index your storefront and policy pages, and paste the prompt into your agent's instructions. It works on Shopify, WooCommerce, and custom stores. Schedule a re-crawl so new products and policies stay current. See the e-commerce use case and Shopify integration, then start free.

Why grounding beats a bare prompt

A prompt alone doesn't make a store agent reliable — grounding does. Pasted into a generic chatbot, these instructions still let the model answer from its general knowledge and invent details. In AIML.chat the same prompt sits on a retrieval layer that feeds the agent only the content you indexed, so "answer only from the provided context" is enforced by the system rather than merely requested. Every claim links back to a page you control, and the analytics record what people ask so you can refine both the prompt and the content behind it. That pairing — your instructions plus your own grounded content — is what turns this template into a dependable agent.

Can it answer shipping and returns questions?+

Yes — it answers from your own policy pages and cites them, so the reply is accurate and verifiable.

Will it invent stock or delivery dates?+

No — the prompt instructs it to answer only from your indexed content and to capture a lead when it can't.

Is there a free plan?+

Yes — 100 messages a month and one website on the free tier. See pricing for higher limits.

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