Layers
Layers AI Inc. · Coding
Layers is an AI marketing automation platform built for app and software builders who need users, not another dashboard. It reads your code and product materials, then runs research, content generation, social publishing, paid media, and measurement as one connected loop. The pitch is simple. You keep building. Layers handles the marketing work that usually sits undone.
About Layers
What Is Layers
Layers is a code-aware marketing platform that connects to your GitHub repo and studies what you built, who it's for, and how you talk about it. It's marketing automation for app developers who would rather approve a plan than write one. From there it recommends a set of marketing actions instead of a vague strategy deck, then executes them with your permission. The company behind it, Layers AI Inc., is based in Calabasas, California, and was founded by a team with roots at Snap and earlier ad tech companies.
The core problem it targets is familiar to anyone who has shipped a product: building is comfortable. Marketing isn't. Developers finish a launch, wait, and hear nothing. Layers treats marketing as a department of coordinated AI agents rather than a pile of disconnected tools, so content, ads, and measurement feed each other.
The biggest limitation is scope and control. It runs a full stack of campaigns, which means budget, platform integrations, and publishing all route through its system. If you want granular, hands-on control of every post and every dollar by hand, that's a different kind of tool. Layers also meters work in credits, so heavy usage has a real cost ceiling to watch, and that ceiling arrives faster than most teams expect once ad spend and content volume climb together.
Getting Started
- Create an account at layers.com and start the Pro plan for $9, which covers your first week with 1,000 credits that you can spend on real content and posts.
- Connect your GitHub repository (optional but powerful) so Layers can read your code, tone, and target customer.
- Review the recommended stack of marketing actions and approve what you want it to run.
- Let the agents generate content, distribute it to TikTok and Instagram, and manage paid media on Apple, Meta, and TikTok.
- Track results through the SDK, which ties reach back to installs, trials, and revenue so you can steer the next round.
Product Information
A quick look at Layers's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Indie app developers
- Small product teams
- Solo founders with a launched product
Tasks
- Generating social content
- Running paid media
- Tracking installs
- Category research
Scenarios
- The week after a quiet launch
- Scaling a hook that works
- Ongoing social cadence
Key features
Code-Aware Marketing Automation
Code-aware marketing automation is the part that stands out. Layers reads your GitHub repository and product materials to understand what you built, who it's likely for, and how you describe it. That context shapes every recommendation and every piece of content, so output sounds like your product instead of generic marketing copy. It's the feature that separates it from tools that start from a blank calendar.
Scroll-Stopping Content Generation
The platform handles AI content generation for hooks, scripts, visuals, ad creative, and creator briefs across the languages your market speaks. Content comes from what's trending rather than a fixed template, which matters if your audience moves fast. You review and approve before anything ships.
Agentic Paid Media
Winning organic posts get recycled into paid campaigns on Apple, Meta, and TikTok, with spend shifting as performance and creative fatigue change. That's paid media management that adjusts on its own rather than waiting for you to notice a creative has stopped working and pause it manually. Pro includes agentic paid media across three brand projects, and Ultra removes the limits. The goal is compounding channels instead of campaigns that end.
Install-Level Attribution via SDK
A single SDK drop ties every post to the installs, trials, and revenue it produced, which closes the loop between reach and money in a way most social tools leave open. Ultra includes enterprise controls like SSO, SLA, and audit logs. That's the real difference.
Always-On Category Intelligence
Creator programs, competitor accounts, rising topics, and the conversation around alternatives are tracked continuously. So what's the payoff? Your recommendations update as the market moves, instead of going stale the week after you set them up. It's less a one-time audit and more a running feed.
Managed Social Distribution
Layers schedules and publishes to TikTok and Instagram, with more channels on the roadmap. Think of it as social media automation with a human review step. It also handles comment replies in your brand voice and can manage UGC programs as a paid add-on. Bottom line: your accounts stay active even when you don't touch them.
Custom Brand-Voice Training
Ultra adds custom brand-voice training so generated content matches how your product actually sounds. Consistency slips once you publish at volume. This fixes that. Pro relies on the repo and product context for tone.
Pros and cons
Pros
- Connects code context to marketing output, so recommendations reflect what you actually built.
- Runs content, social, paid media, and attribution as one loop instead of separate point tools.
- Install-level attribution via SDK links posts to real installs, trials, and revenue.
- Nothing ships or spends without your approval, and you can steer from high level down to specific headlines.
- API access and webhooks are available on Pro for teams that want to build on top.
Cons
- No free plan, so you can't test it without paying the $9 first week.
- Credits meter everything the agents do, which means heavy usage adds cost on top of subscription and ad spend.
- Pro caps you at 3 brand projects and 3 seats, so growing teams hit the ceiling fast.
- Publishing focuses on TikTok and Instagram right now, so other channels may not be covered yet.
Frequently asked questions
Layers runs your marketing as a set of coordinated AI agents. It researches your category, generates content, posts to social channels, manages paid media, and measures the results install by install. You set the goal and approve the work.
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