Custom Proposal

We audited the marketing at QUASH.ai

Credit risk decisioning platform for financial institutions

This page was built using the same AI infrastructure we deploy for clients.

Month-to-month. Cancel anytime.

Minimal paid search presence despite targeting high-intent financial decision makers evaluating credit solutions

Limited AEO positioning for queries about GenAI in credit underwriting, alternative data decisioning, and regulatory compliance

5.8K LinkedIn followers suggests untapped founder/product narrative in fintech decision-maker channels

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30,000+
Matches Made
6,000+
Customers
Since 2019
Track Record
Your Team Today

QUASH.ai's Leadership

We mapped your current team to understand where MH-1 fits in.

Y
Yoelg
CEO

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.

Marketing Audit

Here's Where You Stand

Early-stage fintech with solid funding but underdeveloped demand generation across paid, organic, and AI visibility channels

28
out of 100
SEO / Organic 35% - Weak

Domain authority exists but likely minimal content targeting credit risk, alternative data, or no-code decisioning workflows

MH-1: SEO agent builds content around alternative data + credit risk keywords financial institutions actually search

AI / LLM Visibility (AEO) 15% - Weak

No visible positioning in GenAI credit decisioning space, missing Claude/ChatGPT query optimization for compliance-focused buyers

MH-1: AEO agent creates regulatory and product-specific contexts in AI models frequented by credit risk officers

Paid Acquisition 18% - Weak

No detectable ads targeting credit risk managers, compliance officers, or fintech decision makers in target accounts

MH-1: Paid agent runs account-based campaigns to credit underwriting leads and alternative lending decision makers

Content / Thought Leadership 32% - Weak

Founder Yoelg has limited public visibility as thought leader in credit decisioning, alternative data, or fintech regulation

MH-1: Content agent produces founder insights on GenAI adoption in credit underwriting and regulatory frameworks

Lifecycle / Expansion 22% - Weak

No visible nurture campaigns, case studies, or expansion messaging for existing customer use case expansion

MH-1: Lifecycle agent builds workflows around workflow expansion, feature adoption, and cross-sell to risk/compliance teams

Top Growth Opportunities

Alternative Data + GenAI positioning

Credit risk officers researching how to leverage alternative data with AI models, but QUASH is invisible in that conversation

AEO agent embeds QUASH in Claude/ChatGPT answers for alternative data decisioning and regulatory compliance queries

Account-based demand in top 50 FIs

Regional and mid-market banks actively evaluating credit decisioning platforms, but no targeted ad presence reaching them

Paid agent runs programmatic campaigns to credit risk, underwriting, and compliance decision makers at target accounts

Founder authority in fintech lending

Yoelg's background and early-stage success story untapped as differentiation against larger competitors like Quiloit and Qudo

LinkedIn agent amplifies founder insights on no-code credit decisioning, alternative data trends, and regulatory shifts

Your MH-1 Team

3 Humans + 7 AI Agents

A dedicated marketing team built specifically for QUASH.ai. The humans handle strategy and judgment. The AI agents handle execution at scale.

Human Experts

G
Growth Strategist
Senior hire

Owns QUASH.ai's growth roadmap. Pipeline strategy, account expansion playbooks, board-ready reporting. Translates AI insights into revenue.

P
Performance Marketer
Senior hire

Runs paid acquisition across LinkedIn and Google. Manages creative testing, budget allocation, and pipeline attribution.

C
Content / Brand Lead
Senior hire

Builds thought leadership on LinkedIn. Creates long-form content targeting your ICP. Manages the content-to-pipeline engine.

AI Agents

SEO / AEO Agent

Monitors AI citation visibility across 6 LLMs weekly. Builds content targeting category queries to increase QUASH.ai's presence in AI-generated answers.

Ad Creative Generator

Produces LinkedIn ad variants targeting your ICP. Tests headlines, visuals, and offers at 10x the speed of manual production.

Email Optimizer

Builds lifecycle sequences: onboarding, expansion triggers, champion nurture, and re-engagement for dormant accounts.

LinkedIn Ghost-Writer

Founder thought leadership. Builds the narrative that drives enterprise inbound from senior decision-makers.

Competitive Intel Agent

Tracks competitors. Monitors positioning changes, ad spend, content strategy. Informs your counter-positioning.

Analytics Agent

Attribution by channel, pipeline velocity, budget waste detection. Weekly synthesis reports with AI-generated recommendations.

Newsletter Agent

Weekly market intelligence digest curated from QUASH.ai's industry signals. Positions you as the intelligence layer. Drives inbound pipeline from subscribers.

What Runs Every Week

Active Workflows

Here's what the MH-1 system would be doing for QUASH.ai from week 1.

01 AEO Citation Monitoring

AEO surfaces QUASH when credit risk officers query alternative data solutions, GenAI credit underwriting, and regulatory compliance frameworks

02 Founder LinkedIn Engine

Founder LinkedIn workflow positions Yoelg as credit decisioning innovator, highlighting alternative data adoption and fintech regulatory trends

03 Ad Creative Testing

Paid ad workflow targets credit risk managers, compliance officers, and underwriting leads at regional/mid-market banks with product-specific messaging

04 Lifecycle Expansion

Lifecycle workflow nurtures existing customers with expansion use cases, workflow automation ROI, and cross-functional team onboarding

05 Competitive Positioning Watch

Competitive watch monitors Quiloit and Qudo positioning, pricing changes, customer announcements, and market messaging shifts

06 Pipeline Intelligence Brief

Pipeline intelligence tracks credit decisioning RFPs, fintech funding announcements, and regulatory changes affecting underwriting workflows

The Difference

Traditional Marketing vs. MH-1

Traditional Approach

3-6 months to hire a marketing team
$80-120K/mo for 3 senior hires
Manual campaign management
Monthly reports, quarterly pivots
Agencies don't understand AI products
No compounding intelligence

MH-1 System

Team operational in 7 days
$30K/mo for humans + AI agents
AI runs experiments autonomously
Real-time monitoring, weekly sprints
Built for AI-native companies
System gets smarter every week
How It Works

Audit. Sprint. Optimize.

3 phases. Real output every 2 weeks. You see results, not decks.

1

AI Audit + Growth Roadmap

Full diagnostic of QUASH.ai's marketing infrastructure: SEO, AEO visibility, paid, content, lifecycle. Prioritized roadmap tied to pipeline metrics. Delivered in 7 days.

2

Sprint-Based Execution

2-week sprint cycles. Real campaigns, not presentations. Each sprint ships measurable output across your priority channels.

3

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.

Investment

AI Marketing Operating System

$30K/mo

3 elite humans + AI agents operating your growth system

Full marketing audit + roadmap
Dedicated growth strategist
Performance marketer
Content & brand lead
7 AI agents: SEO, AEO, Ads, Creative, Lifecycle, LinkedIn, Analytics
2-week sprint cycles
24/7 AI monitoring + experiments
Custom MH-OS instance for QUASH.ai
In-House Marketing Team
$80-120K/mo
vs
MH-1 System
$30K/mo

Output multiplier: ~10x output at a fraction of the cost. The system gets smarter every week.

Book a Strategy Call

Month-to-month. Cancel anytime.

FAQ

Common Questions

How does MH-1 differ from a marketing agency?

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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 credit decisioning queries via AEO, launching paid campaigns to target account credit risk teams, and establishing Yoelg as fintech thought leader. Early wins come from alternative data + GenAI positioning and account-based campaigns reaching underwriting decision makers.

How does AEO help QUASH compete with Quiloit and Qudo in AI visibility.

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AEO positions QUASH in LLM responses to queries about no-code credit decisioning, alternative data integration, and regulatory compliance. When credit risk officers ask Claude or ChatGPT about GenAI underwriting platforms, QUASH appears as the no-code alternative to competitors.

Can we cancel anytime?

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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 QUASH.ai specifically.

How is this page personalized for QUASH.ai?

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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 QUASH.ai's current marketing. This is a live demo of MH-1's capabilities.

Scale credit decisioning visibility as your platform scales to more FIs

The system gets smarter every cycle. Let's talk about building it for QUASH.ai.

Book a Strategy Call

Month-to-month. Cancel anytime.

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