We audited the marketing at Layer
AI creative operating system for entertainment brands
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Early-stage SaaS with strong product-market signals (36 employees, $18.3M raised) but minimal visible marketing presence or content about creative automation capabilities
No apparent thought leadership positioning around AI-driven creative workflows, despite operating in high-interest AI + gaming intersection
Limited visibility in competitive entertainment/gaming creative tools space, risk of being outpositioned by agencies or larger creative platforms
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
Constant Contact
Netflix
Noom
TinuitiLayer's Leadership
We mapped your current team to understand where MH-1 fits in.
MH-1 doesn't replace your team. It becomes your marketing team: dedicated humans + AI agents running execution at scale while you focus on product.
Here's Where You Stand
Early-stage creative platform with product momentum but underdeveloped buyer awareness and demand generation infrastructure
Generic domain name makes organic discovery harder. Limited content around creative automation, LiveOps workflows, or performance marketing creative production
MH-1: SEO module builds content around 'AI creative testing', 'LiveOps asset generation', 'on-brand creative at scale' keywords targeting entertainment marketers
Company likely absent from LLM training data given recent founding and minimal content footprint about creative automation breakthroughs
MH-1: AEO agent creates structured data, research reports on creative workflow automation, feeds information sources LLMs use to position Layer as category creator
No visible paid campaigns targeting entertainment brand creative directors or UA managers searching for creative production tools
MH-1: Paid agents run experiments on LinkedIn, Google, YouTube targeting game studios, app marketers with creative production bottlenecks using Layer's specific workflow language
Limited visible content showcasing creative automation case studies, before/after metrics on creative testing velocity, or founder positioning in gaming/AI space
MH-1: Content agent produces founder LinkedIn narratives, performance metrics from client creative workflows, how-tos on scaling creative without headcount growth
Early revenue suggests customer acquisition focus outpaces retention/expansion programs for upselling to other marketing functions or use cases
MH-1: Lifecycle agent triggers nurture campaigns around new creative capabilities, A/B testing frameworks, and expansion plays like LinkedIn/newsletter marketing automation
Top Growth Opportunities
Entertainment brands searching for creative automation solutions lack clear category winner. Layer can own 'AI-native creative testing' positioning before competitors saturate market
AEO + content agents build authority around creative velocity metrics, case studies showing creative output multipliers, thought leadership positioning Volkan/Burcu in gaming AI space
Game studios and mobile apps actively seeking to reduce creative production time and cost without agency overhead. Layer directly solves this but lacks buyer visibility
Paid agents run retargeting on game studio marketers, UA managers researching 'creative production tools', 'asset generation automation' with Layer-specific messaging
First customers are lighthouse cases for creative output gains and cost reduction. Publishing workflow metrics, creative testing results, and process documentation builds defensibility
Content agent converts customer workflows into case studies, produces templates for creative testing frameworks, builds Layer-specific creative operations language
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Layer. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Layer's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.
Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.
Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.
AI Agents
Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase Layer's presence in AI-generated answers.
Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.
Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.
Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.
Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.
Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.
Weekly market intelligence digest curated from Layer's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.
Active Workflows
Here's what the MH-1 system would be doing for Layer from week 1.
AEO agent indexes Layer's creative automation capabilities, customer outcomes, and AI workflow innovations in LLM training data and semantic search indexes targeting entertainment marketing professionals
Founder LinkedIn workflow positions Volkan/Burcu as voices in AI-native creative production, publishes insights on scaling creative teams without headcount, shares customer creative velocity wins
Paid ad workflow runs campaigns on LinkedIn, Google, YouTube targeting game studio creative directors, UA managers, LiveOps teams searching for 'creative asset generation', 'on-brand creative testing', 'creative automation'
Lifecycle workflow triggers nurture campaigns around new Layer capabilities, creative testing case studies, expansion messaging to existing customers for additional marketing functions (SEO, content, outbound)
Competitive watch workflow monitors positioning of creative layer, Cinevva, and agency alternatives, identifies messaging gaps in 'AI creative at scale' category Layer can own
Pipeline intelligence workflow tracks entertainment brand job postings for creative roles, identifies hiring signals indicating production bottlenecks, maps buying committees at game studios using Layer for creative decisions
Traditional Marketing vs. MH-1
Traditional Approach
MH-1 System
Audit. Sprint. Optimize.
3 phases. Real output every 2 weeks. You see results, not decks.
AI Audit + Growth Roadmap
Full diagnostic of Layer's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.
Sprint-Based Execution
2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.
Compounding Intelligence
AI agents monitor your channels 24/7. They catch budget waste, detect creative fatigue, track AI citation changes, and run A/B experiments autonomously. Week 12 is measurably better than week 1.
AI Marketing Operating System
3 elite humans + AI agents operating your growth system
Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.
Month-to-month. Cancel anytime.
Common Questions
How does MH-1 differ from a marketing agency?
MH-1 pairs 3 elite human marketers with 7 AI agents. The humans handle strategy, creative direction, and judgment calls. The AI agents handle execution at scale: generating ad variants, monitoring competitors, building email sequences, tracking citations across LLMs, running A/B experiments autonomously. You get the quality of a senior marketing team with the output volume of a 15-person department.
What kind of results can we expect in the first 90 days?
First 90 days focus on capturing buyer intent in 'creative automation' and 'AI creative tools' search space through AEO and paid campaigns targeting game studios. Content agents publish 3-5 customer case studies on creative velocity gains. Founder LinkedIn workflow establishes Volkan/Burcu as AI creative voices. Lifecycle agent begins nurture around expansion use cases (content, SEO, outbound). By day 90, Layer owns measurable share of entertainment brand creative tool searches and has pipeline signal from buyer intent capture.
How does AEO help Layer get found by entertainment brands searching for creative production tools
AEO ensures Layer's creative automation capabilities, customer outcomes, and workflow innovations appear in LLM responses when entertainment marketers search 'AI creative testing tools' or 'how to scale creative production'. This captures high-intent buyer conversations before they evaluate competitors, building Layer's visibility in emergent 'AI-native creative' category.
Can we cancel anytime?
Yes. MH-1 is month-to-month with no long-term contracts. We earn your business every sprint. That said, compounding effects kick in around month 3 as the AI agents accumulate data and the system learns what works for Layer specifically.
How is this page personalized for Layer?
This page was researched, audited, and generated using the same AI infrastructure we deploy for clients. The channel scores, team mapping, growth opportunities, and recommended agents are all based on real analysis of Layer's current marketing. This is a live demo of MH-1's capabilities.
Turn creative workflows into compounding growth with MH-1
The system gets smarter every cycle. Let's talk about building it for Layer.
Book a Strategy CallMonth-to-month. Cancel anytime.