A Short Lead-Magnet Ebook That Attracts Prospects

This is a ready-made prompt from the Zayenha Prompt library in Content Writing, written for gemini-3-pro. It has a main prompt to copy into the model, built-in quality guards, and a verification prompt to run in a second window to review the answer. The full text needs the Pro plan; the description is open to all.

Design a short lead-magnet ebook that delivers real, fast value in exchange for the reader's email, solving one problem well and bridging to your bigger offer, for a business owner or expert building their list, without fabricating statistics or result promises.

Pro Model: gemini-3-pro 3,498 previews 0 uses Knowledge: 2026-Q2
This prompt requires the pro plan

Your current plan: free

Upgrade plan
Use case

Building a lead magnet for an email list, offering a free ebook that bridges to a paid product, turning expertise into a marketing asset that attracts clients.

#كتاب إلكتروني#مغناطيس جذب#قائمة بريد#تسويق المحتوى

Built-in quality guards

Anti-hallucination

No fabricated statistics, studies, guaranteed-result promises, or success stories

Completeness

Solve the single problem fully, with promise, solution, ready tool, and bridge

Audience Fit

The content attracts the target audience and bridges to an offer that fits them

Trust Safety

Genuine value and an honest bridge that build trust rather than deceiving by withholding value

Frequently asked questions

How do I use this prompt?

Copy the main prompt and paste it into gemini-3-pro or the model you use, replace what is in square brackets with your details, then run the verification prompt in a second window with the answer pasted in, and review it before relying on it.

Is this prompt free?

Its full text requires the Pro plan or higher. Free prompts you can copy at once without an account are on the ready-made Arabic prompts page.

Which model was this prompt written for?

It was written for gemini-3-pro and follows how that model works; you can run it on other models too, reviewing the result, since no single wording guarantees the best result on every model.

← Back to library
Sign in to use