Alternatives
Everyone else sells you content. We sell you a growth strategy.
There's no shortage of ways to get an app growing: build the muscle yourself, hire an agency, plug in an AI content tool, or hand it to another holistic AI marketing tool. Here's an honest look at all four, and where Layers fits.
Four ways to grow, compared
We grouped the landscape into four buckets. Pick the one closest to what you're currently doing (or considering) to see the honest tradeoffs.
AI UGC & content tools
AI UGC & short-form content tools
Fastlane, Arcads, Creatify, MakeUGC, ReelFarm, Genviral and the rest of the AI-actor/UGC category. Fast at making video. Their idea of a strategy is usually scraping your category or your competitors' ads and remixing them.
Do it yourself
Doing growth yourself
You or a teammate running content, ads, and ASO, often with Claude or ChatGPT doing some of the drafting. Full control and low tool spend, at the cost of your time, your test cadence, and re-explaining context every session.
Growth marketing agency
A growth marketing agency
Senior strategic judgment and hands-off execution, AI-augmented internally like most agencies now are, for a retainer. Slower to ramp, and the institutional knowledge leaves when the contract ends.
Holistic AI marketing tools
Other holistic AI marketing tools
Helena from Enrich Labs and Okara are the closest comparisons to Layers: capable, multi-channel AI marketing agents. The difference is what feeds the strategy, and what “done” gets measured against.
At a glance
Where each path is strong
A rough sense of where each approach carries the work, and where it leans on you (or someone else) to fill the gap.
AI UGC / content tools
Decides what to test
You bring the angle
Makes the content
Yes, at volume
Runs paid ads
Rarely, mostly export-only
Ties results to installs
Rarely built in
Compounds over time
No, each generation stands alone
Doing it yourself
Decides what to test
You, from instinct
Makes the content
Manually, slowly
Runs paid ads
Manually, if at all
Ties results to installs
Spreadsheets, if maintained
Compounds over time
Only as fast as you can learn
Growth agency
Decides what to test
A strategist, on a reporting cycle
Makes the content
Yes, via their team
Runs paid ads
Yes, for a fee
Ties results to installs
Usually, with lag
Compounds over time
Resets if you leave
Holistic AI marketing tools
Decides what to test
The tool, from site and ad data
Makes the content
Yes, across channels
Runs paid ads
Sometimes optimizes, rarely launches
Ties results to installs
Traffic and engagement, not installs
Compounds over time
Somewhat, per channel
Layers
Decides what to test
Yes, from your code, store, ad and social signals
Makes the content
Yes, across formats
Runs paid ads
Yes, launches and self-optimizes spend
Ties results to installs
Yes, install-level, via SDK
Compounds over time
Yes, every result feeds the next test
Four ways to fill a feed · One way to close the loop
Frequently asked questions
Isn't Layers just another AI content tool?
No. Content is one of eight agents (Content, Ads, Social, ASO, Listening, Measurement, Research, Strategy). The content agent exists, but it sits downstream of a strategy layer that reads your product and account signals first. Tools built purely for AI UGC generation don't have that layer; you decide what to make, they make it.
We already use an AI UGC tool. Do we need Layers too?
Depends on the gap. If you have a working strategy process and just need more video volume, a dedicated UGC tool can be the cheaper, faster choice for that one job. If nobody's deciding what to test next, or you can't trace a video back to installs and revenue, that's the gap Layers closes.
We're pre-revenue. Should we DIY growth or use a tool?
Early on, doing it yourself has real value: you build product intuition that's hard to outsource. The tradeoff is speed and coverage, since one person can't run content, paid, and ASO at the same cadence a connected system can. Many teams DIY the first few tests, then bring in Layers once there's a signal worth compounding.
What does Layers do that a growth agency can't?
Nothing an agency's strategists can't think of. The difference is speed and data access. An agency works from what you report to them, on a retainer cycle. Layers reads your GitHub, App Store Connect, ad accounts, and SDK events directly, so a shipped feature or a winning hook gets acted on the same day, not at the next monthly review.
How is Layers different from Helena (Enrich Labs) or Okara?
Both appear genuinely capable on paper, and they're the closest category to Layers. It's worth noting these are early-stage products; a stated feature list isn't the same as a proven track record of delivering it. The differences we can compare today: Layers is built around a product-level signal set (App Store Connect, SDK install/trial/revenue events, GitHub) rather than site analytics alone, and it launches and self-optimizes real ad spend rather than mainly drafting content for approval. See the full comparison for specifics.
Start with one link
Drop in your app's site or store page. Layers reads it and gets to work.