We audited the marketing at Abacum
AI-native FP&A platform automating financial planning and scenario modeling
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
Limited presence in AI/LLM search results despite positioning as AI-native, missing visibility when prospects search for AI FP&A solutions
No apparent paid search or display campaigns targeting mid-market finance leaders researching FP&A automation tools
Minimal thought leadership content from Jorge and leadership team on financial planning trends, despite strong product differentiation in multi-dimensional modeling
AI-Forward Companies Trust MarketerHire
Plaid
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TinuitiAbacum'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 SaaS with funded growth showing moderate marketing maturity, but underinvesting in AI visibility and founder-led demand gen
Ranking for core FP&A terms but losing ground to generalist finance tools. Limited keyword expansion into scenario modeling, revenue forecasting, headcount planning verticals
MH-1: SEO module builds content clusters around specific use cases (revenue forecasting for SaaS, OPEX planning for growth) targeting mid-market CFO search behavior
Not appearing in LLM responses for 'AI FP&A' or 'automated financial planning' queries. Missing optimization for AI agent discovery and comparison queries
MH-1: AEO agent structures content and web properties for LLM retrieval, ensuring Abacum surfaces in AI purchasing workflows where prospects explore alternatives
No visible LinkedIn ads, Google search campaigns, or display retargeting targeting finance leaders or companies post-Series B funding rounds
MH-1: Paid campaigns target high-intent signals, job changes (new CFO hires), and funding announcements at mid-market companies evaluating FP&A tools
Product-focused content exists but minimal founder voice from Jorge on topics like modern financial planning trends, multi-dimensional modeling, or business partnering frameworks
MH-1: Content agent produces weekly LinkedIn posts from Jorge on FP&A challenges, scenario planning best practices, and operational metrics for growth companies
No visible expansion campaigns targeting existing customers to adopt additional modules (lifecycle, content, AEO) or land new use cases within their finance teams
MH-1: Lifecycle agent identifies cross-sell opportunities among Strava, BetterUp, Aiven customer base by monitoring usage patterns and triggering feature adoption campaigns
Top Growth Opportunities
Prospects searching 'best AI financial planning tools' or 'automated revenue forecasting' don't see Abacum. This is core to your positioning but invisible to AI purchasing workflows
AEO agent optimizes website structure and content for LLM retrieval, ensuring Abacum appears in comparison queries alongside generalist tools and financial platforms
As COO/CFO co-founder, Jorge has credibility on financial operations and business partnering. This untapped resource can reach mid-market finance leaders at scale
LinkedIn agent produces and amplifies weekly content from Jorge on multi-dimensional modeling, scenario planning, and how fast-growing companies structure financial planning
Your ideal customers (Kajabi, Abridge, Factorial) are post-Series A growth companies. No visible campaigns targeting companies by funding stage or metrics milestones
Paid agent runs targeted campaigns to CFOs and controllers at companies raising Series A/B, with messaging around scaling financial planning before it becomes broken
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Abacum. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Abacum'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 Abacum'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 Abacum'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 Abacum from week 1.
AEO agent optimizes Abacum's web presence and content for LLM queries like 'AI financial planning tool' and 'automated revenue forecast software', ensuring visibility in AI purchasing workflows
LinkedIn agent amplifies Jorge's voice on financial operations, multi-dimensional modeling, and business partnering, reaching CFOs and controllers evaluating FP&A automation
Paid agent targets high-intent audiences, Series A/B-funded companies, and job changes (new CFO hires) with messaging around scaling financial planning and scenario modeling
Lifecycle agent identifies expansion opportunities within Strava, BetterUp, and Aiven accounts by monitoring module usage and triggering feature adoption campaigns
Competitive watch agent monitors Lumberfi, Excel-based workflows, and legacy FP&A tools to identify positioning gaps and prospect switching signals
Pipeline intelligence agent maps finance decision committees at target accounts, tracks engagement, and identifies readiness signals from CLM activity and headcount planning cycles
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 Abacum'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?
Month 1 focuses on AEO optimization and Jorge's LinkedIn launch, establishing your AI-native positioning. Month 2 runs paid experiments targeting Series A/B funded companies and new CFO hires with scenario modeling messaging. Month 3 identifies expansion opportunities in customer accounts and launches lifecycle campaigns. By month 3, you'll see LLM mentions increasing, founder-led engagement growing, and paid efficiency improving as we identify your highest-value customer profiles.
How does AEO help FP&A platforms like Abacum reach finance leaders searching for AI solutions
When finance leaders ask ChatGPT or Claude 'what's the best AI tool for financial planning' or 'how do I automate revenue forecasting', Abacum isn't appearing. AEO optimizes your content, website structure, and thought leadership so LLMs recommend you as the AI-native alternative to legacy FP&A tools. This captures demand from prospects already sold on AI-driven finance.
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 Abacum specifically.
How is this page personalized for Abacum?
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 Abacum's current marketing. This is a live demo of MH-1's capabilities.
Scale FP&A demand with MH-1's AI-native operating system for B2B SaaS
The system gets smarter every cycle. Let's talk about building it for Abacum.
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