Every capability sits in exactly one layer.
Adeqo is organized into three architectural layers: Governance, Intelligence, and AI Agents. Below each layer runs the same sequence: build context, validate, govern, reason, execute.
Three layers, and a hard boundary between them.
A decision is either a rule or it is reasoned. That is what decides which layer owns it, and it is decided before anything runs.
Deterministic. Rules-enforced.
Campaign blueprints, UTM architecture, naming conventions, QA gates, tracking validation, spec compliance. ACE joins records on the standards enforced here.
Rules · Audit logs · No model in the loopLLM-assisted. Language-native.
Report narratives, tracking issue summaries, cross-channel signal correlation, semantic search across account history. Foundation models reason over the operating graph ACE assembles.
Retrieval · Reasoning · No fine-tuning per clientAutonomous where it earns its keep.
Cross-channel signal agents, anomaly response, autonomous optimization loops. Shipped only when eval data shows they beat a well-prompted LLM on the same task.
Scoped · Reversible · Eval-gatedAccount command center.
The view a BMG account manager works from. Account health on the left, signal integrity in the middle, GEO/AIO and client output queue on the right.
Seven modules. One operating graph.
Each module is operationally credible on its own. Together they form the platform that BMG runs accounts through.
- Campaign Blueprint
- Tracking
- QA
- Paid Media
- SEO/GEO
- Reporting
- AI Agents
Campaign Blueprint Engine
Standardizes paid media account structures before campaigns are launched.
Tracking Readiness Engine
Validates whether the account has the measurement foundation needed for optimization.
Pre-Launch QA
Prevents avoidable campaign launch errors. Nothing goes live until checks pass.
Paid Media Control Plane
Monitors campaign health across Google, Meta, TikTok, LinkedIn, Snap, Pinterest, DV360, and regional platforms.
SEO / GEO / AIO Intelligence
Connects search demand with AI discovery and landing-page performance.
Client Reporting
Turns operational data into account-manager-ready output.
AI Agents
Bounded agents that reason over the operating graph ACE maintains.
Build context, validate, govern, reason, execute.
Every account flows through the same five stages. The system enforces what humans used to remember.
Build ContextACE
ACE resolves records from every connected platform into one typed knowledge graph.
ValidateACE
ACE validates measurement and setup integrity before any signal is acted on.
GovernAdeqo
Adeqo governs execution against BMG operating standards, before work goes live.
ReasonACE
ACE reasons across hundreds of connected signals to identify anomalies, opportunities and business impact.
ExecuteAgents
Bounded agents and workflows turn that reasoning into artifacts a person can act on.
The rest of the platform, as it is used.
Tracking Readiness, Pre-Launch QA and GEO/AIO are drawn on the home page. These are the four that were only described until now.
What Adeqo connects to.
Paid platforms, analytics, CRMs, BI, and AI answer surfaces — resolved into one operating graph per account.
From operating signals to AM-ready output.
Adeqo’s job ends when an account manager has a credible, actionable artifact in their hands — and the client has a report they can use.
Account manager outputs
Priority action list, escalation queue, weekly review brief, optimization queue, knowledge base entries — generated from the operating graph.
Client reporting
The weekly summary, issues and recommendations, written for the client.
Internal audit trail
Every decision, override, and recommendation is logged. Adeqo is also the system of record for what happened, when, and why.