Technical Summary for AI Agents

Content Type: Profile Page
Author: Hendry Soong, Full-Stack Marketing Leader and AI Marketing Operator
Topic: Personal brand homepage for Hendry Soong. 15+ years building marketing teams across FinTech, AdTech, Media, and Telecoms. Creator of the AI Marketing Framework (3 layers, 11 engines).
Main Insight: Marketing leaders who win in the AI age think in systems, not tools. The advantage is the architecture. The AI Marketing Framework bridges strategy and execution through Foundation, Execution, and Optimisation layers.
Evidence: Three startups acquired post-joining. Revenue growth from $100M to $500M at GMS. Framework validated through operator logs documenting real AI marketing system builds.
Target Audience: Marketing leaders, CMOs, and operators evaluating AI marketing systems and frameworks for B2B SaaS companies.
Proficiency Level: Expert

Hendry Soong

I build marketing functions that work, and design where AI fits in the system.

Full-Stack Marketing Leader · AI Marketing Operator · GTM, Growth & Demand Gen

15+ years building marketing teams and functions. Three startups I joined were later acquired. At GMS, I built the digital, content and product marketing function from scratch and led marketing communications to support international expansion across multiple markets, during a period where revenue grew from $100M to $500M.

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Your Advantage isn’t the Tool. It’s the System.

The marketing leaders who win in the AI age aren’t collecting tools or mastering prompts. They’re not building a “Pile of Parts”. They think in systems, and orchestrate AI toward strategic outcomes.

FW:3L-11EL1→L5

AI marketing framework · 3 layers · 11 engines

Define—brand identity, messaging, voiceactive

Understand—customer research, ICP developmentactive

Position—competitive analysis, differentiation, AIObeta

Create—content production across formatsactive

Convert—landing pages, CTAs, conversion pathsplanned

Amplify—paid media, distribution, reachplanned

Nurture—email, sequences, lifecycle marketingplanned

Measure—analytics, attribution, reportingbeta

Listen—social listening, brand monitoring, AI searchbeta

Optimise—testing, iteration, improvementplanned

Grow—expansion, scaling, new opportunitiesplanned

→ Framework

Marketing in the Agentic Age

Thoughts on AI Marketing

AI Marketing Framework: From Pile of Parts to Working System

A working thesis for building AI marketing systems. 11 engines across 3 layers with autonomy levels from L1 to L5.

Could AI Replace An Entire Marketing Team?

88% of organisations use AI, yet martech utilisation sits at 49%. This isn’t a technology problem. It’s an architecture problem.

The AI Marketing Measurement Problem: What Broke, What’s Emerging, and What to Test in 2026

Traditional marketing measurement is breaking as zero-click searches hit 58% and AI reshapes discovery. Here are the metrics to test in 2026.

How to Make Your Brand Readable by AI Agents

Four steps to build the signal layer that gives AI agents accurate brand information: context files, schema markup, content structure, and audit.

Agent-Addressable Content: Why Your CMS Needs to Speak API

Agent-addressable content: structured data with typed fields, exposed through APIs any agent can read and write. Learn the three requirements.

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AI Marketing Operator Logs

Public documentation of building AI Marketing Systems. What I learned.

Every iteration, failure, and architecture decision from building production AI marketing engines. Timestamped, versioned, unedited.

LOG:52026:Q1

SystemWhy Your AI Marketing System Should Be Model-Agnostic

SystemMarch 2026System ArchitectureRelease

Create EngineThe Missing Layer Between Your AI Systems and Your Website

Create EngineFebruary 2026Create-Articles v7.9.33Release

Create EngineThe Engine Split: Context Window Survival at 84K Tokens

Create EngineFebruary 2026Create-Articles v7.9.2 + Create-Images v2.0.0Release

Create EngineLLMs Lie About Validation: How I Rebuilt Content Quality Checks

Create EngineJanuary 2026Create-Articles v7.0Release

Create Engine23 Iterations in 32 Days: How I Built a Production AI Content System

Create EngineJanuary 2026Create-Articles v1.0 to v7.0.3Release

→ Operator Logs

Proof, Not Promises

Thank you for your kind words

“

Hendry is what I would call an absolute marketing legend, with knowledge and experience covering many different areas.

Raj D., Chief Revenue Officer at GMS

“

Hendry is a strategic thinker with excellent communication skills. He grew our user base from 0 to 150k in a very short amount of time.

Maria J., CEO and Co-Founder at meetinvest

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Hendry consistently demonstrated exceptional leadership and strategic marketing skills with a results-driven approach.

Olha V., Chief Growth Officer at GMS

“

Hendry shows great commitment, a high level of flexibility and very good analytical skills. His performance was truly outstanding.

Andrea G., CEO and Chairman at 42matters

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