AI prompt to write a client newsletter

Consistent, helpful content keeps an agency visible in its community and builds trust before anyone needs a quote. AI drafts posts, emails, videos and web copy quickly, so an agent can publish regularly without a marketing team.

Below is a ready-to-copy prompt to write a client newsletter, a detailed version that asks you clarifying questions first, and 2 specialized AI tools (HubSpot and Jasper) with instructions for this task. It also works in ChatGPT, Claude, Gemini or Copilot.

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The prompt

Write a monthly client newsletter for an insurance agency: one seasonal safety tip, one coverage explainer, one agency update placeholder, and a soft review invitation. Under 300 words, no price or guarantee claims.

Detailed version (asks clarifying questions first)

Act as an experienced assistant to a licensed insurance agent. Before answering, ask me up to 3 clarifying questions (the audience, the channel and your agency's voice). Then complete this task, and finish with a short checklist of statements I should verify with my compliance team.

Task: Write a monthly client newsletter for an insurance agency: one seasonal safety tip, one coverage explainer, one agency update placeholder, and a soft review invitation. Under 300 words, no price or guarantee claims.

What a good result looks like

A good monthly newsletter is under 300 words with one seasonal tip, one coverage explainer, one agency update and a soft review invitation. It's easy to scan and worth opening.

Common mistakes and watch-outs

Avoid price and guarantee claims, include your physical address and opt-out (CAN-SPAM), and send only to clients who agreed to emails. Check facts in AI drafts from Jasper before sending. HubSpot can handle the list; Grammarly can polish the text.

How to adapt the prompt

Change the seasonal tip and explainer each month (see the newsletter topics page). Ask for a subject line and preheader to match.

EXAMPLE output (placeholder data, not a real client)

[Agency Name] Newsletter - [Month]

Seasonal tip: test your smoke detectors when the clocks change.

Coverage explainer: what's loss of use? If a covered loss makes your home unlivable, this part of your policy can help with temporary living costs. Details depend on your policy.

Agency update: [Agency News].

It's been a while? Book a quick coverage review: [Booking Link]

[Address] | Unsubscribe: [Link]

How to use it

Copy the prompt. Copy the short prompt above, or the detailed version if you want the AI to ask clarifying questions first.
Add your details. Add the details for your situation (line of business, audience, tone). Keep it de-identified; never paste client personal information.
Run it in the right tool. Paste it into ChatGPT, Claude, Gemini or Copilot, or use HubSpot and Jasper as described below.
Review before you use it. Marketing emails need a working opt-out and your physical address (CAN-SPAM). Check every fact, name and number yourself.
Take the next step. Next, see: Create social media posts for the agency.

Best AI tools for this task

Specialized tools first, ordered by fit for this task (never by payout), then any general AI assistant.

HubSpot site ↗

CRM and marketing platform with AI features.

How to use it

Send the newsletter as a HubSpot marketing email to your client list, using contact tokens for first name.

Jasper site ↗

AI marketing content platform with agents for end-to-end marketing workflows.

How to use it

Have Jasper draft the newsletter sections in your agency's brand voice, then edit for accuracy.

Any AI assistant

ChatGPT Claude Google Gemini Microsoft Copilot

Paste the prompt above (short or detailed) into any of these.

Before you use it

Marketing emails need a working opt-out and your physical address (CAN-SPAM).
No guarantees, price claims or misleading superlatives.
Run regulated content through your compliance process before publishing.
Never paste client personal information (names, policy numbers, health or financial details) into AI tools your agency hasn't approved.
Review every AI output for accuracy and compliance before you use it.

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