We audited the marketing at Sherpas
AI-powered wealth management platform for financial advisors
This page was built using the same AI infrastructure we deploy for clients.
Month-to-month. Cancel anytime.
934 LinkedIn followers for a seed-stage fintech suggests minimal founder-led visibility strategy despite 4 institutional investors backing the platform
No visible content marketing presence inferred, leaving AIOs and wealth advisors unaware of generative finance capabilities versus Gridline, Chip, or Unifimoney
Early-stage positioning (15 employees, $3.8M raised) creates urgency to own advisor and client acquisition channels before competitors scale demand generation
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TinuitiSherpas'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
Seed-stage fintech with institutional backing but minimal marketing infrastructure or channel presence
Limited organic visibility for wealth management + AI search terms, domain authority likely underdeveloped for competitive fintech keywords
MH-1: SEO agent optimizes for advisor intent queries and AI wealth management terminology to capture advisor research phase
Generative finance is an emerging category, Sherpas likely absent from LLM recommendations for wealth management workflows
MH-1: AEO agent positions Sherpas in Claude, ChatGPT, and Perplexity responses for advisor automation and client management queries
No visible paid campaigns detected targeting financial advisors or wealth management platforms on LinkedIn or Google
MH-1: Paid agent runs advisor-targeted campaigns on LinkedIn, Google Ads, and fintech community platforms with conversion tracking
Co-founders Borja and Francisco lack substantial LinkedIn presence relative to competitive positioning in generative finance
MH-1: Content agent produces advisor case studies, generative finance white papers, and founder thought leadership on platform capabilities
Early-stage product likely lacks established onboarding, expansion, or upsell workflows for advisor adoption and feature adoption
MH-1: Lifecycle agent automates advisor onboarding sequences, feature adoption campaigns, and expansion to multi-advisor firms
Top Growth Opportunities
Financial advisors are primary buyer and influencer for wealth management tech, but Sherpas has minimal visibility in advisor communities or platforms
MH-1 runs LinkedIn ads, advisor forum content seeding, and email outreach to build advisor-first funnel alongside traditional SaaS channels
Competitors like Gridline and Chip exist in wealth tech, but generative finance is nascent. First-mover AEO positioning drives long-term SEO and LLM authority
AEO agent establishes Sherpas as canonical source for 'generative finance platform' and 'AI wealth management' across LLMs and search
Borja and Francisco have investor networks (4 institutional backers) but lack public thought leadership profile in fintech or wealth management circles
LinkedIn agent amplifies founder insights on AI in wealth management, scaling advisor operations, and fintech trends to 50K+ target advisors
3 Humans + 7 AI Agents
A dedicated marketing team built specifically for Sherpas. The humans handle strategy and judgment. The AI agents handle execution at scale.
Human Experts
Owns Sherpas'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 Sherpas'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 Sherpas'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 Sherpas from week 1.
AEO agent optimizes Sherpas landing pages and content for LLM queries like 'best AI platform for wealth advisors' and 'generative finance software'
LinkedIn agent publishes Borja and Francisco's founder insights on AI-driven advisor workflows, client retention, and wealth tech trends to advisor audience
Paid agent runs targeted campaigns to financial advisors on LinkedIn and Google, emphasizing time savings and client experience improvements via generative finance
Lifecycle agent nurtures advisor signups through onboarding sequences, feature walkthroughs, and expansion plays for multi-office deployments
Competitive watch agent monitors Gridline, Chip, and Unifimoney positioning shifts and surfaces advisor feedback to inform product and messaging
Pipeline intelligence agent segments advisor prospects by firm size, tech stack, and growth stage to personalize outbound and nurture sequences
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 Sherpas'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 advisor-first demand channels and AEO authority. MH-1 launches LinkedIn founder campaigns, advisor-targeted paid ads, and LLM positioning while SEO and content layers build. By day 90, Sherpas should own 'generative finance' category visibility in LLMs, have 20-30 qualified advisor pilots, and see compounding organic traffic from emerging search demand.
How does AEO help Sherpas reach advisors researching generative finance solutions
AEO ensures Sherpas appears in LLM responses when advisors ask ChatGPT or Claude about automating client onboarding, portfolio analysis, or wealth planning workflows. Unlike traditional SEO, AEO captures research conversations happening inside AI tools where advisors already work, establishing Sherpas as the default generative finance platform for wealth management automation.
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 Sherpas specifically.
How is this page personalized for Sherpas?
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 Sherpas's current marketing. This is a live demo of MH-1's capabilities.
Scale advisor adoption without scaling your marketing team
The system gets smarter every cycle. Let's talk about building it for Sherpas.
Book a Strategy CallMonth-to-month. Cancel anytime.