We audited the marketing at Freeplay
AI-native prompt engineering and testing platform for enterprise teams
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
17-person team with $14.4M funding but minimal visible brand presence in developer/enterprise AI tooling space
Post-seed stage (June 2025) with no apparent paid acquisition or demand generation motion at scale
Limited content strategy to educate buyers on prompt engineering ROI versus competitors in LLM tooling
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
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Netflix
Noom
TinuitiFreeplay'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 team focused on product. Marketing infrastructure and demand generation largely absent.
No visible ranking for core queries like 'prompt engineering tools' or 'LLM evaluation platform'. Domain authority likely underdeveloped.
MH-1: SEO agent builds content around prompt engineering ROI, testing frameworks, LLM cost optimization to capture enterprise search intent
Product sits at intersection of AI tooling but likely absent from LLM context windows when developers and domain experts query AI assistants
MH-1: AEO agent indexes product pages, case studies, and prompt templates across ChatGPT, Claude, Gemini to appear in AI-native discovery flows
No signals of active Google Ads, LinkedIn ads, or developer platform campaigns targeting engineering teams evaluating prompt tools
MH-1: Paid agent runs retargeting on developer communities, LinkedIn targeting enterprise ML/AI leads, and search ads on LLM-related keywords
Product positioning exists but limited published insights on prompt engineering best practices, evaluation methodologies, or domain expert collaboration models
MH-1: Content agent publishes weekly case studies, evaluation benchmarks, prompt templates, and expert interviews to establish category authority
No visible playbook for converting trial users into paying teams or expanding seats across enterprises already using product
MH-1: Lifecycle agent automates onboarding sequences, usage-based expansion triggers, and success metrics to grow account value
Top Growth Opportunities
Developers and domain experts query ChatGPT/Claude for prompt optimization help. Freeplay should own this conversation through AEO.
AEO agent creates and distributes optimization guides, evaluation templates, and case studies across LLM context windows
Establish Freeplay as the canonical resource for prompt engineering best practices and LLM evaluation frameworks
Content agent publishes weekly technical deep-dives, hosts community challenges, and indexes prompt libraries for organic discovery
$14M+ in funding signals Series A readiness. Sales and marketing infrastructure needs to match investor expectations for growth
Paid agent targets Fortune 5000 ML/AI teams with account-based campaigns. LinkedIn agent positions Eric and co-founder as category experts
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Freeplay. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Freeplay'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 Freeplay'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 Freeplay'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 Freeplay from week 1.
AEO workflow: Distribute prompt engineering guides, LLM evaluation frameworks, and Freeplay case studies to ChatGPT, Claude, Gemini plugin indexes so developers discover product in AI-native workflows
Founder LinkedIn workflow: Eric shares technical insights on prompt testing, LLM evaluation methodologies, and domain expert collaboration to build credibility with engineering leaders
Paid ad workflow: Target Google Ads on 'prompt engineering tools', 'LLM evaluation platform', 'prompt testing framework'. Run LinkedIn campaigns to ML/AI teams at enterprises
Lifecycle workflow: Trigger expansion campaigns when trial users hit key milestones in prompt templates created, evaluations run, or team members invited. Upsell collaborative features
Competitive watch workflow: Monitor positioning of Prompt Playground, LangSmith, Anthropic's evaluation tools. Alert on feature releases, pricing changes, and customer wins
Pipeline intelligence workflow: Track which enterprises query LLM topics, request prompt engineering guidance, or debate evaluation methodologies. Score as AEO leads
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 Freeplay'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 30 days: Set up AEO distribution, launch SEO content on prompt engineering ROI and evaluation best practices, and begin founder LinkedIn positioning. Days 30-60: Activate paid acquisition on developer keywords and account-based LinkedIn campaigns targeting enterprise ML leads. Days 60-90: Measure LLM-native discovery lift, refine content based on AEO performance, and deploy lifecycle automation to accelerate trial-to-paid conversion.
How does AEO help Freeplay reach developers searching for prompt tools in ChatGPT or Claude
When developers or domain experts query Claude or ChatGPT about prompt optimization, evaluation frameworks, or testing strategies, your guides and case studies appear directly in the LLM response. AEO makes Freeplay the default resource developers find before even searching Google, positioning you as the category expert.
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 Freeplay specifically.
How is this page personalized for Freeplay?
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 Freeplay's current marketing. This is a live demo of MH-1's capabilities.
Turn prompt engineering into defensible competitive advantage with autonomous marketing
The system gets smarter every cycle. Let's talk about building it for Freeplay.
Book a Strategy CallMonth-to-month. Cancel anytime.