The platform underneath BMG performance execution.
Adeqo is organized into three architectural layers — Governance, Intelligence, and Agentic — each clearly scoped. Below each layer is a real workflow: ingest, validate, govern, detect, output.
Three layers. Clearly labeled.
The industry has spent two years calling everything “AI-powered.” We do not. Each capability in Adeqo lives in exactly one layer, and we will tell you which.
Deterministic. Rules-enforced.
Campaign blueprints, UTM architecture, naming conventions, QA gates, tracking validation, spec compliance. This layer does exactly what you configure it to do, every time, with a full audit trail. It is not AI, and we do not claim it is.
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 your structured data at generation time — retrieval and reasoning, not learning.
Retrieval · Reasoning · No fine-tuning per clientAutonomous where it earns its keep.
Workflows that take action — not just surface recommendations. 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.
Six modules. One platform workflow.
Each module is operationally credible on its own. Together they form the platform that BMG runs accounts through.
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 Layer
Turns operational data into account-manager-ready output.
Ingest → Validate → Govern → Detect → Output.
Every account flows through the same five stages. The system enforces what humans used to remember.
Ingest
Pull data from platforms, analytics, and CRMs into one operating context.
Validate
Check measurement and setup integrity before acting on signals.
Govern
Apply BMG operating standards to every campaign and account.
Detect
Surface anomalies, signal corruption, and visibility changes.
Output
Turn operating signals into AM actions, client narrative, escalation.
What Adeqo connects to.
Paid platforms, analytics, CRMs, BI, and AI answer surfaces — pulled into one operating context 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 layer, not retyped from dashboards.
Client reporting layer
Weekly summary, business impact framing, issues and actions, next-step recommendations, client-facing narrative, internal escalation notes — formatted for the audience.
Internal audit trail
Every decision, override, and recommendation is logged. Adeqo is also the system of record for what happened, when, and why.