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Email Marketing Genie

Write high-converting email sequences, newsletters, and drip campaigns with subject line A/B tests.

A custom GPT by @emailgenie for marketing & seo tasks. Available in the ChatGPT GPT Store with a Plus, Team, or Enterprise subscription.

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Email Marketing Genie is a custom GPT built by @emailgenie for write high-converting email sequences, newsletters, and drip campaigns with subject line a/b tests. It is available in the ChatGPT GPT Store under the Marketing & SEO category and requires a ChatGPT Plus subscription to access.

About this GPT

Email Marketing Genie is part of the Marketing & SEO category in OpenAI's GPT Store. Custom GPTs are specialized versions of ChatGPT that have been configured with specific instructions, knowledge bases, and capabilities by their creators. This GPT was designed by @emailgenie to help users with write high-converting email sequences, newsletters, and drip campaigns with subject line a/b tests.

Unlike prompting a general-purpose ChatGPT, this GPT comes pre-configured with the context, tone, and expertise needed for marketing & seo-related tasks. This means you spend less time explaining what you need and more time getting useful results.

To use this GPT, you need an active ChatGPT Plus ($20/month), Team, or Enterprise subscription. Once subscribed, you can find it by searching for "Email Marketing Genie" in the GPT Store or browsing the Marketing & SEO category.

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Marketing & SEOBy @emailgenieChatGPT GPT Store

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FAQ

Common questions about Email Marketing Genie and how to use it effectively.

01

How does it think about welcome sequences — is it just 'thanks for signing up'?

It treats the welcome sequence as the highest-leverage email automation you will ever build because it goes to people at peak interest with open rates often exceeding 50-60%. The sequence design is multi-email: Email 1 delivers the promised lead magnet or confirms the subscription within 60 seconds. Email 2 (24 hours later) provides unexpected additional value — a tip, resource, or story that deepens the relationship. Email 3 (day 3-5) introduces your core product or offering framed as the natural next step for someone who found value in emails 1 and 2. Each email earns permission for the next one rather than assuming it.

02

Can it write plain-text emails that outperform designed HTML templates?

It writes plain-text emails that leverage the format's strengths: they feel personal, render perfectly on every device, bypass the 'images off' problem, and often land in the primary inbox when HTML-heavy emails get routed to promotions. The writing style for plain text is distinct — shorter paragraphs, strategic whitespace, no visual crutches — and the GPT applies that style intentionally. For sales and relationship-building sequences, plain-text often outperforms designed emails by 20-40%, and the GPT knows when to recommend the plain-text approach.

03

How does it handle re-engagement sequences for subscribers who have gone cold?

It designs re-engagement as a multi-stage campaign with clear off-ramps. Stage one (1-2 emails) is the 'we noticed you have been gone, here is what you missed' approach — no guilt, just a highlight reel of value they have not seen. Stage two (1 email) is the direct check-in — 'is this still relevant to you? Reply and let us know.' Stage three (1 email) is the sunset — 'we will stop emailing unless you tell us otherwise.' Subscribers who do not engage by stage three are suppressed from future sends. The GPT treats list hygiene as a deliverability strategy, not a growth metric sacrifice.

04

Can it help with holiday and seasonal email planning across the full year?

It builds an annual email calendar that maps promotional moments to your specific business cycle rather than a generic retail calendar. A B2B SaaS company might anchor around budget cycles, conference seasons, and end-of-quarter urgency. An e-commerce brand layers Black Friday, post-holiday gift-card redemption, and summer slow-season nurturing. The GPT maps the full year, identifies gaps where no promotional campaign is planned, and fills them with value-driven content so subscribers are not only hearing from you when you want money.

05

What about accessibility — does it design emails that screen readers can parse?

It incorporates accessibility into email design as a core requirement, not an afterthought. It uses semantic HTML structure with proper heading hierarchy, descriptive alt text for all images (not just 'image' or the filename), sufficient colour contrast ratios for text, and readable font sizes. It also flags common accessibility violations: image-only emails with no live text, 'click here' links with no context, and low-contrast text on background images. An accessible email reaches more people and performs better for everyone.

06

How does it approach abandoned-cart emails without sounding desperate or pushy?

It designs the abandoned-cart sequence as helpful service rather than desperate recovery. Email 1 (1 hour after abandon) is purely functional — 'you left something behind, here is a link to pick up where you left off' — framed as convenience, not pressure. Email 2 (24 hours) adds social proof — reviews, testimonials, or usage stats about the abandoned product. Email 3 (48-72 hours) is the last call, potentially with a small incentive if margins allow, and a clear 'we will not email you about this again.' The tone throughout is helpful rather than urgent, suggesting rather than insisting.

07

Can it help with list segmentation strategy beyond the basics?

It designs advanced segmentation that goes beyond demographics and purchase history. Behavioural segmentation groups subscribers by engagement recency, content preferences (what topics they click on), and purchase cycle timing (when they are statistically due for a repurchase). Lifecycle segmentation maps where each subscriber is in their relationship with you — new, active, at-risk, lapsed — and prescribes different content strategies for each stage. The GPT helps you build the segmentation logic and then writes distinct email sequences for each segment.

08

What is the single email type that most businesses underinvest in?

The post-purchase email. Most businesses pour resources into acquisition and abandon the customer the moment the credit card clears. The GPT advocates for a robust post-purchase sequence that confirms the purchase (transactional), sets expectations for delivery or onboarding (functional), provides tips for getting the most out of the product (educational), and — crucially — asks for feedback at the moment of peak satisfaction (relational). Post-purchase emails have the highest open rates after welcome emails, and the ROI on improving them is dramatically higher than squeezing another fraction of a per cent out of acquisition campaigns.