01
Revenue / Margin / LTV / ExpansionBusiness goal
Clarify the commercial outcome, current constraint and timeframe.
AI MARKETING SOLUTIONS / BANGKOK + APAC
You already have AI tools. Now you need theOS.
Connect AEO, GEO, SEO and AI search with paid, social, lead, commerce, customer value, measurement and operations—so the AI stack becomes a system the organisation can run every week.
Designed for Owners, Managing Directors, C-level leaders and Marketing Directors who need a clearer operating model—not another disconnected AI project.
WHAT AI MARKETING SOLUTIONS MUST FIX
More AI.
Less clarity.
Many organisations are using AI more often, while marketing becomes harder to govern. The issue is not tool adoption. It is that channels, data, ownership and decisions still operate separately.
01
Channel load keeps expanding
Marketing has to manage Facebook, TikTok, Line OA, Shopee, Lazada, the website, CRM and offline activity at the same time.
02
Reports live in different places
Data is owned by different platforms and teams, so management sees totals without seeing which layer is leaking.
03
AI speeds up output, not decisions
AI is used for copy, images and summaries, but rarely embedded in the structure that decides priorities, budget and ownership.
04
Activity increases before the priority is clear
New tools and campaigns are added without knowing which 1–2 operating tracks would create the highest commercial impact first.
The goal is not to “use more AI.” The goal is to make the whole organisation think, decide and measure as one system.
ONE OPERATING LOGIC
Not more tools.
One OS.
Vault Mark starts from business and revenue goals—Revenue, Margin, LTV and Market Expansion—then maps those goals into 6 Layers and 12 connected AI Solutions.
The first decision is not which tool to buy. It is which 1–2 OS tracks should be installed first, based on business impact, team capacity and data readiness.
02
6 Layers / 12 SolutionsSystem map
Connect goals to the six operating layers and the existing channel reality.
03
Focus before expansionFirst tracks
Select only the 1–2 tracks with the strongest first-order impact.
04
Run → review → refineOperating cadence
Install signals, ownership, governance and a weekly decision rhythm.
HOW WE DESIGN THE OS
Five decisions before implementation.
Vault Mark does not begin by running more campaigns. We design the minimum operating structure required for AI, data and teams to work together without losing contact with the reality of the business.
01
Business & Revenue Mapping
Review the business model, ticket size, margin, LTV, main sales channels and 6–12 month goals, then locate which parts of the OS those goals depend on.
02
Data & Tracking Foundation
Audit GA4, conversions, tagging, UTM, CRM, E-commerce and offline data. Identify what is already connected and what remains trapped inside individual platforms.
03
AI & MarTech Stack Planning
Decide which existing tools should form the core spine, which should support it, and where an additional tool is truly necessary.
04
Signal & Dashboard Design
Define shared signals such as Traffic → Lead → Opportunity → Revenue, LTV by source and the content/search/social signals that influence trust and conversion.
05
Governance & PDPA-safe Usage
Specify which data may be used with public AI, which must remain in a closed system, which must never leave the organisation, and who owns, approves and reviews each track.
STACK PRINCIPLE
Any new tool must strengthen the existing OS—not become another toy for the team.
6 LAYERS / 12 AI SOLUTIONS
Connected modules. One system.
You do not have to start with all twelve. Open each row to see its role, then use the Discovery Call to identify which 1–2 tracks should come first.
Layer 1
Strategy & Brand
AI-Strategy OS
Design the organisation-wide AI Marketing OS masterplan.
+
Map business goals, channels and resources into the 6 Layers / 12 Solutions framework, then define what each team should focus on over the next 6–12 months.
Explore AI-Strategy OSAI-Brand & GEO OS
Make the brand clear to people, search systems and AI.
+
Define the brand entity, category and geographic footprint, then align AI Search, content, PR and Local SEO so the market and machines receive one consistent story.
Explore AI-Brand & GEO OSLayer 2
Demand & Traffic
AI-Search OS
Build one search system for SEO, AEO and GEO.
+
Create a keyword, entity and topic map across the full funnel, supported by a content architecture designed for classic search, AI Overviews, featured answers and People Also Ask.
Explore AI-Search OSAI-Social OS
Run a year-long content system without turning the team into a content factory.
+
Connect content pillars, series and quarterly themes to real ICPs and personas, then measure saves, shares, comment quality and profile movement—not reach alone.
Explore AI-Social OSAI-Paid OS
Allocate paid budget from shared signals, not platform silos.
+
Connect Ads, Analytics, CRM and E-commerce so the organisation can see how spend influences revenue, CAC and LTV—and where budget should increase, decrease or stop.
Explore AI-Paid OSAI-Influencer OS
Make creator work part of the funnel, not a one-off campaign.
+
Map KOL, KOC and creator roles across awareness, trust, conversion and retention, then connect content, sentiment and audience signals to leads, sales and LTV.
Explore AI-Influencer OSLayer 3
Lead & Commerce
AI-Lead OS
Build a lead engine Marketing and Sales both trust.
+
Design capture, scoring, routing and follow-up around the question that matters: which leads are most likely to close, and which channels consistently produce them?
Explore AI-Lead OSAI-Ecom OS
Connect discovery, purchase and repeat value.
+
Map Website, Marketplace, Social Commerce and Line OA across PDP, cart, checkout and repeat purchase, then use basket, product affinity and promotion signals to improve sales and LTV.
Explore AI-Ecom OSLayer 4
CX & Retention
AI-CX & Retention OS
Turn the existing customer base into a growth engine.
+
Design onboarding, usage, support, upsell and referral journeys; use ticket, chat and review patterns to reduce churn and improve lifetime value.
Explore AI-CX & Retention OSLayer 5
Data & Measurement
AI-Data & Measurement OS
Build one signal spine instead of ten dashboards.
+
Audit GA4, tags, conversions, UTM, CRM and E-commerce data, then create executable dashboards that surface trends, anomalies, cohorts and the next decision.
Explore AI-Data & Measurement OSLayer 6
Ops & Innovation
AI-Ops OS
Remove repeatable operational drag without outsourcing judgement to AI.
+
Use AI for structured work such as summarisation, routing, reminders and documentation, while keeping strategic and creative decisions with the people responsible.
Explore AI-Ops OSAI-GrowthLab OS
Run small, fast and measurable experiments with guardrails.
+
Define hypotheses, metrics and limits before testing propositions, offers, creative and funnels—so experimentation strengthens the core OS instead of disrupting it.
Explore AI-GrowthLab OSWHO THIS IS FOR
Designed around operating reality.
The fit is strongest when meaningful marketing work is already happening, but people, platforms and decisions are no longer moving from one shared picture.
01 / MULTI-CHANNEL TEAM
Thai brands with small–mid marketing teams handling many channels.
SEO, Ads, Social, Marketplaces, Line OA and offline activity all compete for limited team capacity. The OS clarifies which work matters most over the next 6–12 months.
Evidence to examine: channel ownership, duplicated work, priority conflict and handoff friction.
02 / TOOL FRAGMENTATION
Organisations using many AI tools without a central operating model.
ChatGPT, AI copy tools and reporting platforms are already in use, but they do not connect into one system. The work moves from a collection of tools to defined solutions with ownership and signals.
Evidence to examine: duplicate tools, isolated data, unused outputs and unclear governance.
03 / EXECUTIVE VIEW
C-level leaders who need one picture of budget, performance and growth.
Search, Social, Paid, Influencer, Lead, E-commerce and LTV need to tell one business story so budget and strategy decisions are made from the same source of truth.
Evidence to examine: decision latency, dashboard conflict, unexplained variance and budget reallocation logic.
THE FIRST 90 DAYS
Install enough structure to create visible decisions.
The first engagement focuses on a bounded operating scope. The aim is not to transform every layer at once, but to make the highest-priority tracks usable, measurable and ready for the next quarter.
Map the current system
Clarify business goals, channels, data, tools, ownership and the constraint that most affects commercial progress.
- Business and revenue mapping
- Channel and data inventory
- Constraint and readiness view
Design the first tracks
Select the 1–2 OS tracks, define the minimum viable data layer, shared signals, dashboard logic and governance.
- Track priority and scope
- Signal and ownership design
- PDPA-safe operating rules
Operate and prove
Put the selected tracks into use, review signals with the responsible owners and define the next-quarter expansion path.
- Working cadence and review
- Visible early decisions
- Next-quarter roadmap
SIGNALS THE OS SHOULD REVEAL
See what deserves action—not just attention.
When the OS begins to work, the organisation stops treating traffic, engagement and platform reports as separate stories.
01
Which channels create real pipeline?
Trace Search, AI Search, Social and Paid into CRM to see which channels produce Leads, Opportunities and Revenue—not just attractive traffic.
02
Which content builds trust and movement?
Identify the articles and videos that strengthen E-E-A-T, dwell time, engagement and the interaction patterns valued by Search and AI answer environments.
03
Which campaigns create long-term value?
Connect Social, Creator and Influencer activity to sales, LTV and repeat purchase so long-term impact is separated from short-lived noise.
04
Where is the funnel leaking?
Locate the largest drop-off across Search, Lead, Checkout, Onboarding or Retention and identify which layer should be fixed first.
05
How does team work connect to business outcomes?
Give Search, Social, Paid, Influencer, Lead, E-commerce and CX teams one shared story about sales, LTV and brand growth.
FAQ
Before you start.
Can we start if our data is not ready?+
Yes. The first move is to organise the tracking and data fundamentals—GA4, conversions, source logic, basic CRM and E-commerce connections—then expand into deeper AI use cases when the foundation is reliable.
Can a small marketing team of 3–5 people handle this?+
Yes, provided the scope is focused. The operating model should begin with only 1–2 priority solutions, clear owners and workflows that do not overlap. The objective is to make work clearer and lighter, not add more checklists.
What is the difference between a MarTech stack and an AI Marketing OS?+
A stack is a collection of tools. An OS defines what each tool is responsible for, which signals it sends, how work connects and how leaders and teams make decisions from one shared picture.
How do you handle PDPA and confidential data?+
Governance is designed into the OS: which data may be used with public AI, which must stay in a closed environment, which must never leave the organisation, and who owns, approves and reviews each use case.
When should we expect visible progress?+
The initial goal is visible operating progress within approximately 90 days—for example tracking and dashboards people actually use, clearer budget decisions and new customer patterns—before deeper expansion in later quarters.
WHERE TO START
Choose the first track before adding more activity.
Use the Discovery Call to map the channels and data you already have, then identify the 1–2 AI Solutions most likely to create practical impact in the first 90 days.