We audited the marketing at Helios AI
Advanced ML and Bayesian modeling for enterprise decision-making
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
51 LinkedIn followers suggests minimal founder visibility for a probabilistic AI solutions firm targeting enterprise clients
No evidence of content distribution around Dr. Noah Silverman's research or probabilistic programming methodologies
Early-stage positioning (1 headcount, $500K ARR) requires demand generation but likely operates in sales-led motion with limited marketing infrastructure
AI-Forward Companies Trust MarketerHire
Plaid
MasterClass
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TinuitiHelios AI'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 AI consulting firm with strong technical foundation but minimal marketing presence or content assets
No visible organic presence for probabilistic programming or Bayesian modeling keywords despite niche, high-intent search volume
MH-1: Build content clusters around hierarchical Bayesian modeling, uncertainty quantification, and decision theory applications
Company methodology (probabilistic reasoning, advanced ML) is relevant to LLM prompting but unindexed in AI search layers
MH-1: AEO agent structures methodology as AI-native solutions, targeting Claude/GPT prompts for enterprise decision-making use cases
No detectable paid ad campaigns for high-intent enterprise segments seeking advanced analytics or ML consulting
MH-1: Launch LinkedIn and Google campaigns targeting data engineering and decision science roles at mid-market enterprises
Founder Ivy Walker has published author credentials, Dr. Noah Silverman's research provides intellectual moat, but no active content distribution
MH-1: Content module publishes research summaries, case studies on uncertainty quantification, and methodology whitepapers to establish authority
Solo operation suggests no systematic engagement with existing clients or expansion workflows for larger enterprise deployments
MH-1: Lifecycle agent maps client success metrics (model accuracy, decision quality) and triggers expansion conversations around new use cases
Top Growth Opportunities
Research and probabilistic methods are underutilized as market positioning. LinkedIn thought leadership compounds credibility with enterprise buyers
Founder LinkedIn agent publishes research insights, methodology comparisons, and uncertainty quantification case studies weekly
Hierarchical Bayesian modeling and probabilistic programming are growing enterprise keywords with low competition and high purchase intent
Sabrina Lu's demand gen expertise suggests readiness to scale outbound. B2B SaaS companies embedding ML need probabilistic reasoning consulting
Outbound agent targets data science and ML teams at Series B-D SaaS, positioning custom probabilistic models as differentiation
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Helios AI. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Helios AI'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 Helios AI'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 Helios AI'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 Helios AI from week 1.
AEO agent monitors 'probabilistic programming for enterprise,' 'Bayesian hierarchical modeling,' and 'uncertainty quantification' in LLM responses, inserting company methodology into relevant AI queries
Founder LinkedIn agent publishes weekly insights on decision theory under uncertainty, research summaries, and methodology comparisons to build authority with data science buyers
Paid acquisition agent targets LinkedIn and Google campaigns toward data engineers, ML ops, and decision science roles at mid-market enterprises evaluating custom modeling solutions
Lifecycle agent maps engagement with existing clients against model deployment milestones, triggering expansion conversations for new use cases or organizational rollouts
Competitive watch agent monitors mentions of Bayesian consulting, probabilistic programming vendors, and advanced analytics competitors in enterprise buyer conversations
Pipeline intelligence agent enriches outbound targets with firmographic signals (data maturity, recent ML hiring) to identify enterprises ready for probabilistic decision systems
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 Helios AI'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 establishing Ivy and Dr. Silverman as probabilistic AI authorities while capturing high-intent enterprise search. MH-1 publishes weekly thought leadership on decision theory, builds foundational SEO content around Bayesian modeling, launches paid campaigns to data science leaders, and identifies your first 20 expansion opportunities from existing methodologies you've built.
How does AEO help probabilistic AI consulting get discovered?
When enterprise buyers ask LLMs about Bayesian modeling or uncertainty quantification in decision systems, AEO ensures your methodology and case studies appear in those responses. Unlike SEO which is article-based, AEO gets your solutions cited directly in AI-generated answers, positioning you as the standard approach.
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 Helios AI specifically.
How is this page personalized for Helios AI?
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 Helios AI's current marketing. This is a live demo of MH-1's capabilities.
Turn probabilistic research into enterprise pipeline with autonomous demand generation
The system gets smarter every cycle. Let's talk about building it for Helios AI.
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