Podcast: Web3 CMO Stories
Host: Joeri Billast
Guest: Matt Wilkinson (AI Marketing Strategist, Founder of Strivenn, PersonaAI Creator)

Episode Overview

This episode explores how modern marketing teams lose connection with their buyers, why organizational gravity weakens messaging, and how synthetic customers (PersonaAI) can help marketers maintain true customer alignment across strategy, content, and sales.

Key themes include:

Customer presence vs customer data
AI in marketing and B2B buying journeys
Synthetic customers and PersonaAI
Trust and authority in an AI-driven world
Marketing for both humans and AI agents

Why Buyers Disappear Inside Organizations

Joeri Billast:
We had some great conversations around AI marketing and human connection. Is there anything that changed your thinking?

Matt Wilkinson:
Companies don’t have a customer understanding problem. They have a customer presence problem.

Most organizations collect customer data:

Voice of Customer (VOC)
CRM insights
Research reports

But this data:

sits in folders
lives in systems
rarely influences decisions across the full process

The key issue is:

The people approving messaging often have the least direct insight into the customer.

As a result:

messaging gets softened
claims are adjusted
internal priorities take over

Outcome: messaging drifts away from what the buyer actually needs.

Organizational Gravity: Why Messaging Becomes Average

Matt introduces the concept of organizational gravity.

Definition:

Organizational gravity is the force that pulls messaging away from customer truth and toward internal consensus.

What happens in practice:

Messaging becomes safe
Language becomes generic
Internal alignment replaces customer relevance

Analogy:

Launching messaging is like sending a rocket to the moon:

You need escape velocity
Without it, gravity pulls you back

Most marketing never escapes “low orbit”
It stays safe, internal, and invisible to customers

Early Warning Signs Your Marketing Is Drifting

Key signals:

Strong research → weak campaign output
Sales teams stop using marketing materials
Low engagement and conversion rates
Misalignment between marketing and sales

Core issue:
Marketing builds for the customer
Organization edits for itself

PersonaAI: Keeping the Buyer in the Room

Matt explains how generative AI changed everything.

Before:

Static personas
Hard to use in real-time
Often ignored

Now:

With tools like GPT-4:

Personas become interactive
You can “talk” to your buyer
AI acts as a continuous feedback layer

PersonaAI enables:

Real-time validation of messaging
Buyer feedback during approval processes
Continuous alignment with customer needs

Instead of losing the buyer after research
You keep the buyer present throughout execution

Synthetic Customers Explained

A synthetic customer is:

An AI-based representation of a buyer, built from real data, used to simulate responses and test messaging.

Two types:

1. Ungrounded synthetic customers

Based on general AI training
Generic responses

2. Grounded synthetic customers

Built from:
- Interviews
- Sales calls
- Social data
- Brand sentiment
Reflect your actual buyers

Goal:
Create a context-rich model that mirrors real buyer thinking.

Real Use Case: 44% Engagement Rate

Matt shares a case:

Account-based marketing campaign
Cold outreach
PersonaAI-driven messaging

Results:

44% engagement rate
High volume of qualified leads

Key reason:
Messaging was tailored to:

specific personas
real buyer questions
real objections

Iteration Is Critical

Synthetic customers are not static.

Best practice:

Test messaging with AI
Validate with real customers
Feed new data back into the system

Outcome:
Better models over time
Better marketing decisions

Risks: AI Sycophancy and Overreliance

Two major risks:

1. AI Sycophancy

AI may:

agree too easily
validate weak ideas

Solution:
Ask better questions
Challenge outputs

2. Overreliance on AI

Danger:

replacing real customer input
trusting AI too much

Principle:
AI should enhance, not replace, customer understanding

Modeling Complex B2B Buying Groups

B2B buying is complex:

7–12 stakeholders (sometimes more)

Instead of modeling individuals:

Focus on roles:

Users
Decision makers
Procurement
Finance

Key insight:

Deals often fail at procurement stage

Why?

unanswered objections
missing information
friction in process

Solution:
Design messaging for each role in the buying group

Marketing for AI + Humans

Modern buying includes AI:

~90% of B2B buyers use AI
AI creates shortlists
AI compresses results

New reality:

fewer visible brands
no “page 2”

Concept: Citation Compression

What marketers must do:

1. Be machine-readable

structured content
clear messaging

2. Build authority

strong brand presence
trusted signals

3. Design for AI + human journeys

Trust in an AI-First World

Matt emphasizes:

People still buy from people they trust.

Key principles:

Personal branding matters
In-person connection is increasing in value
AI should support, not replace human interaction

Warning: The “AI Wall”

Users get stuck in chatbot loops
No resolution
Frustration increases

Solution:

Easy access to humans
AI as support layer, not endpoint

Key Takeaway: AI Is Additive, Not Replacement

AI improves processes
AI increases efficiency
AI enhances insight

But:

Trust, relationships, and human understanding remain central.

About Matt Wilkinson

Matt Wilkinson is:

AI Marketing Strategist
Founder of Strivenn
Creator of PersonaAI
Specialist in life sciences marketing and B2B demand generation

Connect with Matt:

LinkedIn
Website: https://strivenn.com

Final Thoughts

This episode highlights a critical shift:

From customer data → to customer presence
From static personas → to dynamic AI-driven buyer models
From human-only marketing → to human + AI decision ecosystems

The future of marketing is not more content
It is better alignment with how buyers actually think and decide

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More episodes coming soon on AI, Web3, and the future of marketing leadership.

Why Buyers Disappear Internally (Transcript)