Marketing & sales
$99

Lapis

Design ads that align with your brand for platforms like Meta, Google, LinkedIn, and others using your brand assets.

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LAPIS — AI-ASSISTED ON-BRAND AD CREATION PLATFORM

Overview

Lapis is an innovative ad creative platform that leverages artificial intelligence to facilitate the rapid generation of image ads that align with brand identity. This AI-driven solution is designed for freelancers, in-house marketing teams, and agencies that require consistent and scalable creative assets across various advertising channels, including Meta, Google, LinkedIn, TikTok, WhatsApp, and Instagram, as well as conversational platforms like ChatGPT. The platform focuses on an asset-driven onboarding process, user-friendly editing capabilities, multi-platform export options, and product catalog synchronization, all aimed at automating and expediting the ad production process.

Key Features

Brand Onboarding and Asset Learning

Lapis begins by allowing users to upload essential brand assets such as logos, color palettes, and reference images. The platform utilizes these materials to understand and learn a brand’s visual identity and voice, ensuring that subsequent ad creations maintain a consistent look and feel. Additionally, users can create custom references and templates, which can be stored for future campaigns, further enhancing brand consistency.

Natural-Language Editing and Variant Generation

One of Lapis's standout features is its Campaign Studio, which enables users to edit any ad using simple, plain English commands. For example, users can instruct the platform to “make the headline bolder,” “change the background to blue,” or “use a single-line CTA” without the need to navigate through complex design controls. This intuitive approach allows for the automatic generation of multiple ad variants with different hooks, styles, and layouts while maintaining brand consistency—an invaluable tool for A/B testing and creative rotation.

Multi-Platform Export and Sizing

Lapis simplifies the ad creation process with its one-click export feature, which automatically resizes creatives for various supported platforms, including the Meta family, Google, LinkedIn, and TikTok. This capability eliminates the tedious manual resizing and formatting steps that often hinder campaign efficiency.

Product Catalog Sync and Dynamic Product References

For e-commerce teams, Lapis offers the ability to import product catalogs from platforms like Shopify and Amazon, keeping them synchronized in real-time. Users can reference specific items in prompts using a handle, such as @product-name, allowing Lapis to automatically pull the correct images and metadata. This feature is particularly beneficial for running dynamic product ads, ensuring that creatives reflect live inventory accurately.

Localization and Language Support

Lapis supports the generation of creatives in over 15 languages, including Hindi, Tamil, Telugu, and Spanish. This multi-language capability streamlines the process of expanding into new markets, eliminating the need to rebuild campaigns from scratch for different regions.

Templates, Content Calendar, and Campaign Organization

The platform includes a library of curated templates designed for various marketing initiatives, such as launches, sales, and seasonal promotions, which accelerates the campaign initiation process. Additionally, Lapis features a centralized dashboard that stores all ads and past campaigns, allowing users to browse, iterate, and create variations based on previous work. Built-in content calendar and marketing agent functionalities further assist users in planning and coordinating campaigns over time.

Integrations and Operational Features

Lapis offers native integrations with platforms like LinkedIn and Shopify, along with the ability to ingest catalogs via CSV or URL. The platform also includes competitor tracking features, enabling users to analyze competitor creatives and ad activities for strategic insights. Advanced capabilities such as custom aspect ratios, audience targeting, and 4K image output for high-fidelity assets enhance the platform's versatility. Notably, Lapis utilizes an internal creative model referred to as the “Nano Banana 3,” and provides users with direct access to founders via Slack for support and feedback.

Strengths

Lapis excels in several key areas:

  • Brand Fidelity: Its asset-driven training approach ensures that generated creatives closely align with the brand’s identity, avoiding generic outputs.
  • Speed and Iteration: The natural-language editing and rapid variant generation significantly reduce the time spent in back-and-forth communication with designers.
  • Multi-Platform Readiness: The automatic export sizing and catalog synchronization streamline workflows, particularly for e-commerce applications.
  • Localization: Built-in multi-language support is a major advantage for teams looking to target international markets effectively.
  • Centralized Workflow: The combination of Campaign Studio, dashboard, and template library creates a cohesive workflow for ad creative management.

Limitations and Considerations

Despite its strengths, Lapis does have some limitations:

  • Newer Company/Early Stage: As a relatively new startup, Lapis is still in its early stages, which may result in rapid feature development but also potential instability or shifting roadmaps.
  • Learning Curve for Brand Learning: To achieve optimal results, brands must invest in high-quality reference assets; inadequate inputs may lead to less accurate brand representations.
  • Credit Model and Seat Limits: The platform operates on a monthly ad credit system and tiered user seats, necessitating careful mapping of expected throughput to avoid constraints.
  • Platform Coverage: While Lapis supports many major ad platforms, some niche networks or specialized ad placements may still require manual adjustments.

Who Should Consider Lapis

Lapis is particularly well-suited for:

  • Small marketing teams and freelancers seeking consistent, rapid creative output without in-house design capabilities.
  • E-commerce teams aiming for dynamic product ads with real-time catalog synchronization.
  • Agencies that need to scale variations and localization for multichannel campaigns without significantly increasing design hours.

Verdict

Lapis emerges as a specialized tool for organizations prioritizing brand consistency, speed, and scalability in image ad production. By focusing on learning visual identity from uploaded assets and enabling intuitive natural-language editing, Lapis effectively addresses two critical pain points: achieving on-brand creativity and facilitating rapid iteration across multiple platforms. For teams that regularly produce ad content, particularly in the e-commerce and performance marketing sectors, Lapis can significantly reduce production bottlenecks and enhance multi-platform workflows. Early adopters should consider the platform’s evolving nature and ensure that the credit and seat configurations align with their campaign needs. Overall, Lapis presents a compelling option for modern ad operations looking to streamline their creative processes.