We audited the marketing at Optimal Dynamics
AI optimization platform for logistics fleet planning and operations
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Series C company with $95M+ funding shows minimal paid search presence despite $10M+ ARR in capital-intensive logistics market
Princeton-backed IP and 40-year research foundation underutilized in thought leadership and industry positioning versus competitors
No visible content strategy targeting fleet operators, brokers, and capacity planners searching for network optimization solutions
AI-Forward Companies Trust MarketerHire
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TinuitiOptimal Dynamics'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 strong fundamentals but underdeveloped demand gen relative to market opportunity and funding level
Ranks for branded terms and basic logistics keywords, but lacks content depth on fleet optimization, network planning, and driver utilization use cases
MH-1: SEO agent builds pillar content around 'what if' simulation scenarios and optimization ROI metrics specific to private fleet operations
Minimal presence in AI tool directories and LLM responses for logistics AI and fleet optimization queries despite core product being High-Dimensional AI
MH-1: AEO agent submits CORE.ai to logistics AI indexes, optimizes for 'AI fleet optimization' and 'logistics simulation' LLM queries
Limited Google Ads and LinkedIn presence for high-intent logistics buyer keywords despite enterprise SaaS pricing model
MH-1: Paid agent runs experiments on carrier operations managers, fleet directors, and brokerage leaders searching optimization and capacity solutions
Co-founder has strong Princeton credentials but limited visible content on network profitability, asset utilization, or real-world optimization case studies
MH-1: Content agent distributes W. Powell's research-backed insights on fleet optimization, economics of driver efficiency, and network design decisions
No visible customer success content, expansion playbooks, or ROI measurement frameworks to support post-sale growth and upsell to new divisions
MH-1: Lifecycle agent automates expansion campaigns to existing customers targeting new carrier divisions, brokerage arms, and optimization use cases
Top Growth Opportunities
Fleet operators, brokers, and 3PLs researching network optimization and asset utilization solutions represent high-intent buyers with long sales cycles
Paid and SEO agents target 'fleet optimization software', 'network planning tools', and 'asset utilization platform' with case studies showing cost reduction
Principal Logistics, Optiyol, and others lack academic foundation. CORE.ai's Princeton research and High-Dimensional AI are defensible differentiators
Content and outbound agents position CORE.ai as research-backed alternative, emphasizing simulation depth and driver efficiency outcomes versus competitors
Growing search volume for AI-driven logistics and fleet optimization. CORE.ai underrepresented in AI tool recommendations and LLM responses
AEO agent optimizes for 'best AI for fleet planning', 'logistics simulation software', and 'network optimization AI' across ChatGPT, Perplexity, and industry guides
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Optimal Dynamics. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Optimal Dynamics'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 Optimal Dynamics'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 Optimal Dynamics'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 Optimal Dynamics from week 1.
AEO workflow indexes CORE.ai across ChatGPT logistics tool recommendations, Perplexity AI logistics guides, and industry-specific LLM queries for fleet optimization and network planning
W. Powell LinkedIn workflow surfaces Princeton research on fleet optimization, network design economics, and driver utilization to logistics operators and industry contacts monthly
Paid acquisition workflow tests Google Ads against 'fleet optimization software', 'network planning tool', and 'capacity planning platform' with emphasis on ROI and simulation depth
Lifecycle workflow automates expansion outreach to existing customers targeting new carrier divisions, brokerage operations, and advanced simulation use cases based on adoption signals
Competitive watch workflow monitors Principal Logistics, Optiyol, and emerging competitors for product releases, messaging, and positioning to surface Optimal Dynamics differentiation
Pipeline intelligence workflow tracks logistics operators, brokers, and 3PLs discussing network inefficiency, asset utilization challenges, and optimization investments on LinkedIn and industry forums
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 Optimal Dynamics'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 logistics buyers. AEO agent submits CORE.ai to AI directories and optimizes for LLM visibility. Paid agent runs experiments against fleet operator keywords. SEO agent builds content on network optimization ROI and simulation use cases. Outbound agent identifies fleet directors and brokers researching capacity planning. By day 90, you have baseline conversion data and optimized campaigns ready for scale.
How does MH-1 help CORE.ai get found by logistics buyers using AI tools
MH-1's AEO agent submits CORE.ai to ChatGPT's knowledge base, Perplexity's logistics guides, and industry AI indexes. When fleet operators ask 'What AI tools optimize my network' or 'Best logistics simulation software', CORE.ai appears in LLM responses. This captures high-intent buyers earlier in research than traditional search.
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 Optimal Dynamics specifically.
How is this page personalized for Optimal Dynamics?
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 Optimal Dynamics's current marketing. This is a live demo of MH-1's capabilities.
Get CORE.ai in front of fleet operators searching for network optimization solutions
The system gets smarter every cycle. Let's talk about building it for Optimal Dynamics.
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