Lapis

Lapis is an AI ads platform for creating, launching, and optimizing paid campaigns in one workflow. Self-serve and managed options across ChatGPT, Google, and Meta.

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AI ads engine for creation and optimization

Lapis is an AI-powered ads engine for teams that want to create, launch, and improve paid campaigns from a single workflow. It uses a set of AI agents to turn a website or product brief into ad creative, launch assets, and supporting landing pages, then learns from campaign results over time.

The product is organized around two modes: self-serve plans for teams that want to run campaigns themselves, and managed plans where Lapis’s agents handle more of the campaign lifecycle. Across the site, Lapis is positioned for paid ads on platforms such as ChatGPT, Google, Meta, LinkedIn, TikTok, and Reddit, with additional support for landing pages and reporting.

Core capabilities

Brand-aware creative generation

Paste a website URL and Lapis pulls in brand signals such as logo, colors, voice, and audience cues to generate on-brand ad creative quickly.

Multi-channel ad creation

Lapis can produce ads for ChatGPT, Google, Meta, LinkedIn, TikTok, and Reddit from one brief, letting teams test multiple channels from the same starting point.

ChatGPT ad workflow

For ChatGPT ads, Lapis handles copy, visuals, submission, formatting, and compliance steps so campaigns can go live with less manual setup.

Matched landing pages

Lapis builds a dedicated landing page for each ad angle and tunes it against live conversions, tying the post-click experience to the campaign creative.

Performance monitoring and optimization

The product tracks spend, clicks, and conversions in a dashboard and can shift budget toward better-performing ads on managed plans.

Planning and team tools

Pricing and FAQ pages describe tools for competitor tracking, forecasting, audience personas, product catalog imports, and collaborative workspaces on higher tiers.

Common ways to use Lapis

Launch multi-channel campaign tests
A marketer can paste in a site and generate on-brand ads for several channels at once, then launch tests across different headlines and audiences.
Run ChatGPT ads
Teams buying clicks for ChatGPT can use Lapis to create sponsored-style ads, format them correctly, and iterate on copy and imagery based on live results.
Connect ads to matching landing pages
Growth teams can attach a dedicated landing page to each ad angle so the message users click matches the page they reach.
Coordinate team workflows
Marketing teams that manage multiple people or brands can use shared workspaces, seats, and brand assets to keep campaigns organized.
Reuse product catalog assets
Companies with existing catalogs can import products from Shopify, Amazon, or a URL and reuse product images and details in generated ads.

Pros and Cons

Pros

Turns a website into ad creative quickly by learning brand signals from an existing site or uploaded references.
Supports multiple ad channels from one workflow, including ChatGPT, Google, and Meta.
Adds a landing page component so ad and post-click experience stay aligned.
Provides performance tracking and forecasting rather than only one-off creative generation.
Offers both self-serve and managed options, which fits different levels of in-house capacity.

Cons

Some capabilities are split across plan tiers, so teams may need a higher tier or managed service to access forecasting, collaboration, or automated optimization.
The source material does not fully document every integration or setup detail, so buyers may need to confirm platform fit before adoption.

FAQ

How does Lapis learn my brand?

Lapis uses a brand URL or uploaded references to infer your logo, colors, voice, and audience cues, then generates ads and matching landing pages from that input. On managed plans, AI agents can also run experiments and apply what they learn to the next round of campaigns.

What is the difference between self-serve and managed plans?

On self-serve plans, you create, forecast, and launch ads yourself using Lapis’s tools. On managed plans, Lapis’s AI agents handle creative generation, launch, optimization, and reporting for you.

Can I generate ads in multiple languages?

The site says Lapis can generate ads in 15+ languages, including English, Hindi, Spanish, French, Arabic, Tamil, Telugu, and Bengali.

Can I use my own product images or catalog?

Yes. The pricing page says you can import a product catalog from Shopify, Amazon, or any URL, and then reference products in prompts so the generated ads use the right images and details.

What kinds of campaigns does Lapis support?

Lapis is positioned as a self-improving ads engine for paid campaigns across channels such as ChatGPT, Google, Meta, LinkedIn, TikTok, Reddit, and landing pages. The self-serve plans focus on creation, forecasting, and launch, while managed plans add full campaign operation and ongoing optimization.

Quick Facts

Category: AI ads platform
Primary workflow: Create, launch, and optimize paid ads from a website or brief
Main users: Marketing teams, solo founders, and growth teams
Source domain: trylapis.com
Deployment model: Self-serve plans and managed service
Notable outputs: Ad creative, landing pages, forecasting, and campaign reporting