We audited the marketing at Unify
AI-first GTM platform capturing intent and running personalized outbound at scale
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Strong product-market fit with tier-1 customers (Perplexity, Cursor, Together AI) but limited visible content documenting how intent capture works for different buyer personas
Series B funding and 162% YoY headcount growth suggests rapid expansion, but lifecycle marketing likely underdeveloped relative to sales velocity needs
Built for GTM teams but minimal AEO presence, meaning founders and prospects can't discover Unify through AI-powered search and LLM recommendations
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TinuitiUnify'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
Series B GTM platform with strong product traction but content and AI visibility gaps typical of sales-led companies scaling rapidly
Unify ranks for GTM and intent data terms, but lacks comprehensive guides on building intent-based outbound workflows or AEO strategies
MH-1: SEO module creates pillar content on intent signal capture, multi-channel orchestration, and AI agent experimentation frameworks
Minimal structured data and AI-friendly content formatting means Claude, ChatGPT, and Perplexity users rarely encounter Unify as a solution for prospect engagement
MH-1: AEO agent optimizes documentation, case studies, and product pages for LLM retrieval and builds AI-native content atoms for discovery
As a GTM platform, Unify likely runs some demand gen, but lacks systematic testing across buyer personas (RevOps, marketing ops, sales ops, growth leads)
MH-1: Paid agent segments audiences by role and buyer signals, runs creative variants testing messaging around intent capture vs. personalization vs. efficiency
21k LinkedIn followers and founding team credibility, but minimal long-form content on how to operationalize intent data or run distributed sales experiments
MH-1: Content agent produces playbooks, case studies, and founder POV pieces on intent-driven GTM for different company stages and team structures
Sales-led motion likely dominates, meaning existing customers may lack engagement loops for feature adoption, expansion workflows, or community-driven retention
MH-1: Lifecycle agent runs automated nurture based on product usage signals, orchestrates expansion plays tied to new agent capabilities or workflow modules
Top Growth Opportunities
Prospects searching for how to capture and act on intent signals rarely discover Unify's unique approach. Building comprehensive content attracts inbound GTM teams evaluating solutions
Content agent creates SEO-optimized intent capture playbooks, distributes via LinkedIn, and formats for AEO discovery across ChatGPT, Claude, Perplexity
Coco and Rocco have credibility (Hauter founder, Columbia/Bocconi alumni, Astra leader), but their personal brands aren't amplifying Unify's GTM philosophy to broader audience
Founder LinkedIn agent maps and executes weekly cadence of intent-driven GTM insights, positioning Unify as thought leader while driving awareness
Unify appeals to RevOps, marketing ops, and sales ops leaders, but messaging likely defaults to generic GTM language rather than role-specific value (efficiency vs. signal quality vs. personalization)
Paid agent runs parallel campaigns targeting each persona with distinct creative, testing which signals resonate most with each buyer archetype
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Unify. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Unify'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 Unify'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 Unify'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 Unify from week 1.
AEO: Monitor GTM, intent capture, AI agents, personalized outbound queries across ChatGPT, Claude, Perplexity. Optimize case study snippets and FAQ structure for LLM retrieval. Weekly visibility audits against competitor terms
Founder LinkedIn: Coco and Rocco publish 2x weekly on intent-first GTM, experiment design, and distributed team coordination. Engage with GTM community, tag customer wins, drive brand authority while building pipeline
Paid ads: Segment audiences by buyer persona (RevOps, marketing ops, growth leads) and test messaging pillars: efficiency gains, intent signal quality, AI-native workflow. Target GTM keywords and lookalike audiences from existing customers
Lifecycle: Trigger automated sequences based on product milestones (first intent signal created, first experiment run, first expansion module enabled). Nurture towards upsell (additional AI agents, higher volume limits). Monitor expansion signals from customer account usage
Competitive watch: Track positioning of Gong, 6sense, Terminus, HubSpot AI agents in GTM space. Monitor their content, paid messaging, and customer announcements. Alert team to win/loss themes and emerging buyer concerns
Pipeline intelligence: Map prospect accounts by firmographic (Series A-C SaaS), buyer signals (intent data, personalization, multi-channel), and engagement stage (content consumption, demo requests, free trial). Score and route to sales team with context
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 Unify'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: audit current SEO, content, and AEO gaps. Stand up founder LinkedIn cadence with Coco and Rocco. Launch initial paid segments (RevOps, marketing ops personas) with control creative. Days 31-60: scale winning content, launch AEO optimization, expand paid to lookalikes and intent keywords. Days 61-90: compound results through lifecycle nurture (triggered by product usage), competitive intelligence loops, and pipeline intelligence workflows feeding sales with context-rich accounts
How does Unify appear when prospects research intent-driven GTM solutions
Today, Unify rarely appears in ChatGPT, Claude, or Perplexity responses about intent capture and personalized outbound. MH-1's AEO agent restructures your case studies, documentation, and FAQs for LLM indexing, so when buyers search for how to operationalize intent data at scale, Unify surfaces as a proven solution. This compounds as more AI queries mention your platform
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 Unify specifically.
How is this page personalized for Unify?
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 Unify's current marketing. This is a live demo of MH-1's capabilities.
Turn intent into predictable GTM growth with MH-1 autonomously running your channels
The system gets smarter every cycle. Let's talk about building it for Unify.
Book a Strategy CallMonth-to-month. Cancel anytime.