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Guide

AI Email Marketing Tools: What Actually Works in 2025

Discover which AI email marketing tools deliver real results. We separate hype from reality and show you what AI can actually do for your campaigns.

Olivia Kim

Olivia Kim

Guest Contributor

6 min read

AI email marketing tools promise to revolutionize how you create and send emails. But with every platform slapping "AI-powered" on their features, it's hard to know what's real and what's marketing hype.

This guide separates genuine AI capabilities from buzzwords. We'll show you exactly what AI can do for email marketing today, which tools deliver, and how to use them effectively.

What AI Actually Does in Email Marketing

AI in email marketing falls into distinct categories. Understanding these helps you evaluate tools:

1. Content Generation

AI writes email copy, subject lines, and complete campaigns.

What works well:

  • Subject line generation and optimization
  • First-draft email copy
  • Variations for A/B testing
  • Product descriptions from data

What still needs humans:

  • Brand voice perfection
  • Strategic messaging decisions
  • Sensitive or nuanced content
  • Final approval and editing

2. Complete Email Generation

More advanced AI creates entire emails—design, copy, and structure.

Current capabilities:

  • Full email generation from prompts
  • Brand-consistent designs
  • Mobile-responsive layouts
  • Template-free creation

Leader in this space: Brew generates complete, on-brand emails from simple descriptions.

3. Send Time Optimization

AI analyzes when individual subscribers engage and optimizes delivery.

Typical results: 10-20% improvement in open rates

How it works: Machine learning models predict optimal send times per subscriber based on historical engagement.

4. Predictive Analytics

AI predicts subscriber behavior: who will buy, churn, or engage.

Use cases:

  • Target high-value prospects
  • Prevent churn before it happens
  • Personalize based on predicted interests
  • Optimize segment targeting

5. Subject Line Optimization

AI predicts which subject lines will perform best.

Typical results: 5-15% open rate improvement

How it works: Models trained on performance data score subject lines before sending.

AI Email Marketing Tools Compared

Brew: Full Email Generation

Brew offers the most comprehensive AI approach. Describe what you want, get a complete email.

AI capabilities:

  • Complete email generation from prompts
  • Brand voice learning and consistency
  • Automatic mobile optimization
  • Automation workflows from natural language
  • Design and copy in one step

What makes it different: Other tools offer AI assistance. Brew offers AI creation—the AI does the work, you review.

Pricing:

  • Free: 200 credits
  • Starter: $49/month (1,000 contacts, 500 credits)
  • Pro: $199/month (10,000 contacts, 10,000 credits)

Best for: Teams wanting to eliminate manual email creation entirely.

Jasper: AI Copywriting

Jasper focuses on generating email copy rather than complete designs.

AI capabilities:

  • Email copy generation
  • Subject line creation
  • Tone adjustment
  • Multiple content types

Limitations: Generates text only—you still need to design emails separately.

Best for: Writers wanting AI assistance with copy, not design.

Phrasee: Enterprise Subject Lines

Phrasee uses AI specifically for subject lines and email copy at enterprise scale.

AI capabilities:

  • Subject line optimization
  • Performance prediction
  • Language generation at scale
  • Brand voice learning

Limitations: Enterprise pricing, focused narrowly on copy optimization.

Best for: Large enterprises with high email volumes and big budgets.

Seventh Sense: Send Time AI

Seventh Sense optimizes when to send emails to each subscriber.

AI capabilities:

  • Individual send time optimization
  • Engagement prediction
  • Email fatigue detection
  • Throttling to prevent overload

Limitations: Only optimizes timing—doesn't help with content.

Best for: Companies with large lists wanting better timing.

Platform-Native AI (Mailchimp, Klaviyo, etc.)

Most major platforms now include AI features:

Typical capabilities:

  • Subject line suggestions
  • Send time optimization
  • Basic content suggestions
  • Predictive segmentation

Limitations: Usually surface-level AI, not transformative.

What AI Features Actually Matter

Based on real-world impact, here's what moves the needle:

High Impact

  1. Complete email generation — Saves 80%+ of creation time
  2. Subject line optimization — 10-30% open rate improvement
  3. Send time optimization — 10-20% engagement improvement

Medium Impact

  1. Copy suggestions — Good starting points, needs editing
  2. Predictive segmentation — Better targeting
  3. A/B test analysis — Faster optimization cycles

Lower Impact (Currently)

  1. Content personalization AI — Still developing
  2. Fully autonomous campaigns — Needs human oversight
  3. Creative optimization — Inconsistent results

How to Evaluate AI Email Tools

When evaluating AI claims, ask:

1. What Specifically Does the AI Do?

"AI-powered" is meaningless. Ask: Does it write? Design? Optimize timing? Predict behavior?

2. Can You See Examples?

Request sample outputs. Quality varies dramatically between tools.

3. How Much Human Work Remains?

AI that saves 20% of time is different from AI that saves 90%.

4. Does It Learn From Your Data?

Generic AI vs. AI trained on your brand and audience—significant difference.

5. What's the Quality Level?

Some AI output needs heavy editing. Some is ready to send. Understand which you're getting.

Implementing AI in Your Email Marketing

Step 1: Identify Your Biggest Time Sink

Where do you spend the most time?

  • Writing copy → Jasper or Brew
  • Designing emails → Brew
  • Optimizing send times → Seventh Sense
  • Everything → Brew

Step 2: Start With One AI Feature

Don't try everything at once. Master one capability, measure results, then expand.

Step 3: Maintain Quality Control

AI isn't perfect. Build review processes:

  • Human review before sending
  • Brand voice checklist
  • Error catch workflow

Step 4: Measure the Impact

Track:

  • Time saved per email
  • Performance changes (opens, clicks, conversions)
  • Total campaigns sent (velocity often increases)

The Future of AI in Email Marketing

We're seeing rapid advancement:

  • Visual generation: AI creating custom images and graphics
  • Hyper-personalization: Unique content for each subscriber
  • Autonomous optimization: Self-improving campaigns
  • Cross-channel AI: Unified intelligence across email, SMS, ads

Within 2-3 years, manual email creation will feel as outdated as hand-coding HTML emails does today.

Getting Started With AI Email Marketing

If You're New to AI

Start with Brew's free tier—experience full email generation without commitment. Create a few emails, evaluate quality, decide if AI fits your workflow.

If You Already Use an ESP

Most platforms offer AI features. Enable what's available, measure impact. If results are limited, consider dedicated AI tools.

If You're Ready for Full AI

Brew offers the most complete AI email experience. Describe what you want, get professional emails in seconds.

Ready to Try AI-Powered Email?

The gap between AI-created and manually-created emails has closed. What took hours now takes seconds—without sacrificing quality.

Try Brew free and create your first AI-generated email in under 60 seconds.

Start creating with AI →

Olivia Kim

Written by Olivia Kim

Guest Contributor

Passionate about helping businesses grow through smarter email marketing.

Ready to transform your email marketing?

Brew creates professional, on-brand emails in under 60 seconds. No design skills required.

Try Brew Free
AI Email Marketing Tools: What Actually Works in 2025