AnnounceMate ‑ Explified

Develop by Shopify

Free plan available

Automate announcement banners to boost engagement and streamline merchant communication.

Real-time updates

Customizable design

Automated banners

Gemini ai suggestions

About AnnounceMate ‑ Explified

Launched Nov 06, 2025

Built by Shopify

Address

Janoskova 4, Bratislava, 83103, SK

Website Support Portal Privacy policy Tutorial FAQ Document

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Description

Create and embed custom banners and popups with an AI assistant powered by Gemini or GPT or Grok

The app automates the creation and display of announcement banners, saving merchants time and effort. It helps store owners easily communicate sales, shipping updates, or promotions without editing code. By keeping customers informed with timely messages, it improves engagement, enhances the overall shopping experience, and allows merchants to focus more on growing their business effectively. Also provided the merchants with different LLM options to choose and get assistance from them.

Instantly creates announcement banners based on your inputs
Adjust banner text, colors, and placement to match your store’s branding
Edit or remove active banners anytime without affecting your store’s performance
Use Gemini or GPT or Grok assistant to suggest color palettes and taglines
Use multiple LLM for chat assistance with your keys securely saved on you device

Pros

Automates the creation and display of announcement banners, saving time and effort for merchants.
Allows for easy communication of sales, shipping updates, or promotions without the need for coding.
Improves customer engagement and enhances the overall shopping experience.
Enables customization of banner text, colors, and placement to match store branding.
Allows for the editing or removal of active banners without affecting store performance.
Includes a Gemini assistant to suggest color palettes and taglines, enhancing creativity and efficiency.

Cons

Limited information on potential drawbacks such as pricing or integration issues.
No detailed user feedback provided to assess real-world application challenges or bugs.