Skip to main content
temp_preferences_customTHE FUTURE OF PROMPT ENGINEERING

Cold Email Audit: Score and Rewrite Your Own Outreach

Submit your current cold email for a structured audit — receiving a 10-point diagnostic score with specific improvement recommendations and a fully rewritten version addressing all identified weaknesses.

terminalclaude-sonnet-4-20250514trending_upRisingcontent_copyUsed 460 timesby Community
cold-email-auditemail-rewritequality-scorecold-emailimprovement
claude-sonnet-4-20250514
0 words
System Message
You are a cold email performance auditor with a 10-dimension scoring framework. When submitted an email for review, you evaluate it across 10 criteria, provide a score and diagnosis for each, and then produce a fully rewritten version that addresses all identified weaknesses. **Your 10 audit dimensions:** 1. Subject line (open-rate potential) 2. Opening line (personalization depth) 3. Pain clarity (specificity and resonance) 4. Solution positioning (clarity and relevance) 5. Social proof (credibility and relevance) 6. Word count (length discipline) 7. CTA clarity (friction level) 8. Tone (peer vs. vendor) 9. AI/template detection (how human does it sound?) 10. Inbox survival (spam risk and deliverability) **Scoring:** 1–10 per dimension. Total: /100. After scoring, provide a fully rewritten email that addresses all dimensions scoring below 7.
User Message
Audit and rewrite this cold email: **Email to Audit:** Subject: {&{SUBJECT_LINE}} Body: {&{EMAIL_BODY}} **Context:** - Target Persona: {&{PERSONA}} - Product/Service: {&{PRODUCT}} - Desired CTA: {&{CTA}} **Output:** - 10-dimension score table with dimension, score, and one-line diagnosis per row - Overall score (/100) with grade - Top 3 priority improvements - Fully rewritten email with subject line - Diff annotation: For each major change in the rewrite, a brief note explaining why

About this prompt

## Overview Submit your current cold email for a structured audit — receiving a 10-point diagnostic score with specific improvement recommendations and a fully rewritten version addressing all identified weaknesses. ## Use Cases - SDR managers running team cold email quality reviews before sequence launch - Founders auditing their own outreach templates before scaling outbound efforts - Sales consultants providing structured cold email coaching with diagnostic frameworks ## Why This Prompt Works This prompt is engineered for professional outreach that converts. It follows the APEX structure — defining a hyper-specific persona, a singular task, clear context, numbered instructions, and strict quality rules — ensuring consistent, high-quality output across GPT-4, Claude, and Gemini. ## Key Variables All variables use the `{&{VARIABLE}}` format for easy substitution. Replace each variable with your specific context before using.

When to use this prompt

  • check_circleSDR managers running team cold email quality reviews before sequence launch
  • check_circleFounders auditing their own outreach templates before scaling outbound efforts
  • check_circleSales consultants providing structured cold email coaching with diagnostic frameworks
signal_cellular_altadvanced

Latest Insights

Stay ahead with the latest in prompt engineering.

View blogchevron_right
Getting Started with PromptShip: From Zero to Your First Prompt in 5 MinutesArticle
person Adminschedule 5 min read

Getting Started with PromptShip: From Zero to Your First Prompt in 5 Minutes

A quick-start guide to PromptShip. Create your account, write your first prompt, test it across AI models, and organize your work. All in under 5 minutes.

AI Prompt Security: What Your Team Needs to Know Before Sharing PromptsArticle
person Adminschedule 5 min read

AI Prompt Security: What Your Team Needs to Know Before Sharing Prompts

Your prompts might contain more sensitive information than you realize. Here is how to keep your AI workflows secure without slowing your team down.

Prompt Engineering for Non-Technical Teams: A No-Jargon GuideArticle
person Adminschedule 5 min read

Prompt Engineering for Non-Technical Teams: A No-Jargon Guide

You do not need to know how to code to write great AI prompts. This guide is for marketers, writers, PMs, and anyone who uses AI but does not consider themselves technical.

How to Build a Shared Prompt Library Your Whole Team Will Actually UseArticle
person Adminschedule 5 min read

How to Build a Shared Prompt Library Your Whole Team Will Actually Use

Most team prompt libraries fail within a month. Here is how to build one that sticks, based on what we have seen work across hundreds of teams.

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?Article
person Adminschedule 5 min read

GPT vs Claude vs Gemini: Which AI Model Is Best for Your Prompts?

We tested the same prompts across GPT-4o, Claude 4, and Gemini 2.5 Pro. The results surprised us. Here is what we found.

The Complete Guide to Prompt Variables (With 10 Real Examples)Article
person Adminschedule 5 min read

The Complete Guide to Prompt Variables (With 10 Real Examples)

Stop rewriting the same prompt over and over. Learn how to use variables to create reusable AI prompt templates that save hours every week.

pin_invoke

Token Counter

Real-time tokenizer for GPT & Claude.

monitoring

Cost Tracking

Analytics for model expenditure.

api

API Endpoints

Deploy prompts as managed endpoints.

rule

Auto-Eval

Quality scoring using similarity benchmarks.