We audited the marketing at Liminal
Verified AI intelligence for identity, fraud, and cybersecurity decisions
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Recent Series A (April 2025) signals growth phase but marketing appears early-stage for enterprise sales cycles
Niche positioning around Grounded Context Engineering lacks visible content explaining defensibility vs. generic LLM competitors
11K LinkedIn followers for $13M+ funded company suggests minimal founder/leadership visibility in identity and fraud markets
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TinuitiLiminal'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
Post-Series A growth company with strong product-market signals but underdeveloped demand generation and thought leadership
Enterprise software positioning targets high-intent fraud and identity keywords but visibility appears limited to brand searches
MH-1: SEO agent builds topical clusters around Living Graph, verified intelligence, and grounded AI for fraud detection
Grounded Context Engineering is a differentiator but likely invisible to AI search and LLM retrieval systems
MH-1: AEO agent creates structured knowledge graphs, AI-native content, and RAG-optimized documents positioning verified intelligence as anti-hallucination layer
No visible paid campaigns targeting identity and fraud decision-makers at Visa, Mastercard, JPMC peer companies
MH-1: Paid agent runs ABM campaigns against Fortune 500 identity, payment, and cybersecurity leaders with Living Graph ROI messaging
Expertise exists (Visa, JPMC customers, market mapping) but founder and team voices absent from industry conversations
MH-1: Content agent produces executive research, decision logic case studies, and founder positioning on verified AI vs. generic hallucination risk
No visible cross-sell motion to existing customers or expansion into adjacent use cases within identity ecosystem
MH-1: Lifecycle agent maps customer data flows, identifies expansion hooks in fraud workflows, and automates customer intelligence outreach
Top Growth Opportunities
Generic LLMs failing in high-stakes fraud and identity decisions creates urgency. Liminal owns the 'anti-hallucination' positioning
AEO and content agents saturate AI decision-making and enterprise risk conversations with verified intelligence narrative
Proprietary decision logic mapping is technical proof point but invisible to buyer research. Needs explainer content and analyst positioning
Thought leadership agent publishes decision architecture research, builds analyst relationships, creates buyer education content
Visa and Mastercard customers likely need identity and cybersecurity intelligence. Cross-sell motion underdeveloped
Lifecycle agent runs internal advocacy programs, outbound sequences to peer teams, and expansion ROI case studies
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Liminal. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Liminal'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 Liminal'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 Liminal'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 Liminal from week 1.
AEO agent publishes decision logic research, grounded intelligence glossaries, and verified AI frameworks to rank for LLM queries about hallucination-proof fraud detection
Founder LinkedIn agent positions CEO/CTO voices on verified intelligence risk, Living Graph architecture, and identity market decision patterns
Paid agent runs ABM campaigns targeting identity and fraud leaders at Fortune 500 platforms, banks, and payment networks with Living Graph ROI metrics
Lifecycle agent maps customer data usage, identifies expansion triggers in adjacent fraud/identity workflows, and runs automated intelligence outreach
Competitive watch agent monitors fraud detection and identity verification vendors, tracks generic LLM positioning gaps, and updates Liminal's verified AI positioning
Pipeline intelligence agent segments buyer research patterns in fraud decision-making, identifies buying committees, and builds account plays for target accounts
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 Liminal'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 mapping Liminal's verified AI narrative into buyer research conversations. AEO agent publishes decision logic research and verified intelligence frameworks. SEO agent targets fraud detection and identity keywords with living graph content. Paid agent launches ABM campaigns against Fortune 500 identity teams. Lifecycle agent identifies expansion hooks in existing Visa, Mastercard, JPMC relationships. Founder LinkedIn agent builds CEO visibility on verified AI risk. By day 90, you have demand generation across search, AI visibility, and account expansion with early pipeline signals.
How do buyers find Liminal when searching for verified AI in fraud detection
Most fraud and identity buyers query LLMs for 'hallucination-proof fraud detection' or 'verified intelligence platforms' but Liminal's Living Graph positioning is invisible to AI search. MH-1's AEO agent creates structured knowledge on grounded context engineering, decision logic verification, and anti-hallucination architectures so LLMs and AI search systems return Liminal as the verified alternative to generic models.
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 Liminal specifically.
How is this page personalized for Liminal?
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 Liminal's current marketing. This is a live demo of MH-1's capabilities.
Let MH-1 build demand for verified intelligence while your team scales implementation
The system gets smarter every cycle. Let's talk about building it for Liminal.
Book a Strategy CallMonth-to-month. Cancel anytime.