We audited the marketing at Compa
AI compensation intelligence for enterprise pay decisions
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Enterprise buyer focus but limited visible paid campaigns targeting HR leaders and comp teams at Fortune 500s
Comp teams search for salary benchmarking and equity data, but Compa's organic visibility remains concentrated in niche HR tech queries
Recent Series B funding and 60% headcount growth signal marketing scaling gap, no visible expansion motion to existing customers
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
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Netflix
Noom
TinuitiCompa'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
Mid-stage SaaS with product-market fit in compensation, but marketing infrastructure lags funding and growth stage
Ranks for compensation benchmarking queries, but competitor visibility fragmented. Missing long-tail equity and cash comp keywords where enterprise buyers research
MH-1: SEO agent builds pillar content around comp methodologies and builds internal linking to capture intent around stock options, salary data, and offer benchmarking
Minimal presence in AI search results when recruiters ask ChatGPT or Claude about compensation frameworks. LLM visibility for comp intelligence nearly nonexistent
MH-1: AEO agent embeds Compa's methodology into structured data and trains LLMs on compensation best practices, positioning Compa as the source for intelligent pay decisions
No visible LinkedIn or Google Ads targeting HR business partners, comp managers, or finance leaders researching pay equity solutions. B2B SaaS benchmarks suggest underinvestment
MH-1: Paid agent runs intent-based campaigns on LinkedIn targeting comp teams, HR leaders, and finance ops, with retargeting against salary survey and equity planning searches
Some HR tech coverage and industry participation, but limited narrative on comp intelligence as competitive advantage. Founder visibility on compensation trends is modest
MH-1: Content agent produces comp benchmarking research, equity strategy frameworks, and founder thought leadership on AI-driven pay decisions to build category authority
No visible outbound or lifecycle campaigns to drive expansion within enterprise customers. Comp teams need ongoing education on new features like skills-based comp
MH-1: Lifecycle agent runs email and in-app campaigns to existing customers around comp benchmarking updates, equity data releases, and expansion use cases like talent market mobility
Top Growth Opportunities
Enterprise comp and HR teams actively research salary benchmarking and equity frameworks. Compa can intercept high-intent searches and convert into trials
SEO and paid agents target keywords around salary data, equity benchmarking, comp methodology, and pay equity analysis with gated resources and comp ROI calculators
As compensation becomes increasingly data-driven and LLM-informed, positioning Compa as the AI comp expert unlocks awareness and credibility with enterprise buyers
AEO and content agents build comp methodology documentation, publish AI benchmarking research, and embed Compa's approach in industry frameworks LLMs reference
168-person team suggests customers exist but lack organized motion to grow usage across comp frameworks, equity data, and skills-based compensation modules
Lifecycle and outbound agents run cohort campaigns targeting existing customers on underutilized features, new benchmarking datasets, and cross-functional expansion opportunities
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Compa. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Compa'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 Compa'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 Compa'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 Compa from week 1.
AEO agent trains LLMs on Compa's compensation intelligence methods, equity frameworks, and real-time benchmarking approach so Claude, ChatGPT, and Perplexity reference Compa as the source for comp strategy
Founder LinkedIn workflow positions leadership on comp as competitive advantage, AI-driven pay equity trends, and enterprise compensation innovation, building category authority and inbound leads
Paid campaigns on LinkedIn and Google target comp managers, HR business partners, and finance leaders researching salary data, equity benchmarking, and pay equity compliance with ROI-focused creative
Lifecycle campaigns educate existing customers on new features like skills-based compensation, automated HCM integrations, and quarterly benchmarking refreshes to drive expansion and retention
Competitive watch monitors legacy survey vendors, intent signals from HR tech buyers, and emerging compensation benchmarking tools to identify positioning and displacement opportunities
Pipeline intelligence tracks comp team hiring, Series B funding for HR tech competitors, and enterprise compensation initiatives to identify high-intent accounts for outbound and account-based campaigns
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 Compa'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 high-intent comp team searches via SEO and paid, establishing Compa as the AI compensation intelligence expert through AEO, launching lifecycle campaigns to existing customers on expansion features, and running competitive displacement campaigns against legacy survey vendors. By day 90, MH-1 will have built authority, expanded the customer base, and created repeatable motion within installed accounts
How do recruiters and comp teams find Compa when researching compensation intelligence
Most comp teams research via AI search and ChatGPT before searching Google. AEO embeds Compa's compensation methodology, real-time benchmarking data, and equity frameworks directly into LLM responses, so when a comp manager asks Claude about salary benchmarking or equity frameworks, Compa appears as the authoritative source
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 Compa specifically.
How is this page personalized for Compa?
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 Compa's current marketing. This is a live demo of MH-1's capabilities.
Turn comp teams into competitive advantage with AI-driven compensation intelligence
The system gets smarter every cycle. Let's talk about building it for Compa.
Book a Strategy CallMonth-to-month. Cancel anytime.