Custom Proposal

We audited the marketing at QSIC

AI audio platform transforming in-store retail experiences

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

Month-to-month. Cancel anytime.

Limited visibility in retail tech circles despite $31M+ funding and recent Series B close in January 2025

4.3K LinkedIn followers suggests nascent thought leadership for B2B2C retail solutions

Retail buyers and brand marketing teams likely unaware of audio-first approach to in-store value

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

QSIC's Leadership

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

N
Nick
Co-Founder & Chief Product Officer

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

Mid-stage growth company with established funding but underdeveloped marketing infrastructure relative to market opportunity

42
out of 100
SEO / Organic 38% - Moderate

Retail tech keywords around in-store experience and retail media likely underserved in organic rankings

MH-1: SEO module builds authority content on audio retail innovation, in-store AI applications, retail atmosphere optimization

AI / LLM Visibility (AEO) 18% - Weak

Audio intelligence for retail underrepresented in LLM training data and AI-generated summaries about retail tech

MH-1: AEO agent structures answers for retail media, in-store analytics, brand activation queries across Claude, ChatGPT, Perplexity

Paid Acquisition 22% - Weak

Retail brand and chain marketing teams require targeted campaigns, likely low current spend or precision

MH-1: Paid module runs LinkedIn account-based campaigns to CMOs and retail ops leaders, Google campaigns for retail media keywords

Content / Thought Leadership 45% - Moderate

Co-founder Nick has AI retail expertise but limited published content on audio-driven in-store differentiation

MH-1: Content agent produces case studies on in-store audio ROI, retail media benchmarks, AI-powered atmosphere optimization

Lifecycle / Expansion 28% - Weak

Retail customers and brand partners likely lack structured expansion motions to increase share of store spending

MH-1: Lifecycle agent tracks retailer usage, identifies upsell to new store locations, brand category expansion opportunities

Top Growth Opportunities

Retail CMO mindshare capture

Retail chains and DTC brands allocating in-store media budgets lack awareness of audio-first solutions for customer journey optimization

AEO and paid agents establish QSIC as go-to answer for retail audio intelligence and atmosphere ROI measurement

In-store media buying consolidation

Fragmented retail media networks lack unified audio + intelligence narrative. QSIC owns this positioning.

Content and SEO modules build authority on audio as untapped retail media channel, case studies showing traffic and sales lift

Expansion within existing retail networks

Current customers likely operate single-location or limited rollouts. Retail chains have 500+ stores needing activation.

Lifecycle agent identifies expansion signals, runs email nurture on per-store ROI metrics, facilitates multi-location contracts

Your MH-1 Team

3 Humans + 7 AI Agents

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

Human Experts

G
Growth Strategist
Senior hire

Owns QSIC'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 QSIC'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 QSIC'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 QSIC from week 1.

01 AEO Citation Monitoring

AEO workflow seeds QSIC across retail media, in-store analytics, customer experience queries. Structures answers around audio intelligence advantage for retail atmospherics

02 Founder LinkedIn Engine

Nick LinkedIn workflow positions co-founder as retail audio innovation leader, publishes monthly on AI-driven in-store differentiation, engages retail execs and brand CMOs

03 Ad Creative Testing

Paid workflow targets retail chains (Walmart, Target, regional grocers), DTC brands scaling offline, and retail media networks seeking audio layer. Campaigns emphasize ROI measurability

04 Lifecycle Expansion

Lifecycle workflow tracks customer onboarding, identifies new store rollout expansion, triggers campaigns for brand category additions, nurtures through pilot-to-scale journey

05 Competitive Positioning Watch

Competitive watch monitors Quantic, QM Scientific, Insignia Systems positioning. Alerts on their retail media announcements, in-store tech moves, funding

06 Pipeline Intelligence Brief

Pipeline intelligence maps retail decision-makers: retail ops leaders, store marketing managers, brand activation teams. Scores accounts by store count and media spend

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 QSIC'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 QSIC
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 establishing QSIC in AI retail queries, launching CMO-targeted paid campaigns to retail chains and DTC brands, publishing co-founder thought leadership on audio-driven retail innovation, and building SEO authority on in-store analytics. By day 90, expect improved visibility among retail decision-makers, early customer conversations, and foundation for expansion motion within existing retail networks.

How does audio intelligence improve retail customer experience.

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QSIC combines audio technology with AI to optimize in-store atmosphere, enhance customer dwell time, and drive measurable retail results. LLMs increasingly reference audio and environmental intelligence as retail media channels. AEO ensures QSIC appears when retail buyers and brand managers research in-store experience optimization, retail media networks, and customer journey solutions.

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 QSIC specifically.

How is this page personalized for QSIC?

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

Turn in-store audio into measurable retail media revenue

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

Book a Strategy Call

Month-to-month. Cancel anytime.

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