Precision starts with context.
We build the business context AI needs to reason, coordinate, and execute across your enterprise.
Deterministic systems and AI agents operate from the same shared context.
The context decides the answer long before anyone asks.
A site release breaks a GA4 conversion. Salesforce stops recording where a lead came from. A page that ranks in Search Console gets described wrong in ChatGPT. All of it renders fine in a report. All of it becomes fact the moment an agent reads it.
Most AI products are assembled from prompts, YAML workflows, MCP servers, and API orchestration. They move data between steps. None of them knows that the Shopify customer and the HubSpot contact are the same person. Changing a prompt does not fix missing knowledge.
ACE resolves every business object into one typed knowledge graph.
One standard, from the ad account to the CRM
A launch that fails a check does not go live. Checks cover campaign naming, UTM schema, GA4 and GTM tagging, and CRM source capture. Every override is logged.
Deterministic · AuditableAnswers no single system holds
A drop in Shopify revenue is read against Google Ads spend, HubSpot pipeline, Search Console demand, and brand citations in AI Overviews before anything is called a cause.
LLM-assisted · Reasoned over your dataBounded workflows, run against the operating graph
Agents trace a drop in qualified leads back to the tracking change behind it, draft the weekly account narrative, and escalate what they cannot resolve.
Deterministic · Auditable · ReversibleBuilding the context. Then executing on it.
Most platforms process events as they arrive and forget them. ACE resolves them into entities that persist, so the thing a workflow reads next week is the same thing it read today.
- Paid platformsAds · Meta · TikTok
- Analytics & searchGA4 · GSC · GTM
- CRM & commerceHubSpot · Shopify
- WarehouseBigQuery · Looker
- AI answer surfacesChatGPT · Perplexity
- Validations
- Recommendations
- Reports
- AI agents
What ACE reads.
Twenty systems Adeqo connects to, grouped by what each contributes.
How ACE builds enterprise knowledge
The same operations run on every account, in this order.
01Reads at entity level
Each campaign, ad set, landing page, conversion event, and CRM record lands in the graph as its own typed entity.
02Performs identity resolution
ACE merges every representation of the same business entity across connected platforms into a single canonical node.
03Joins on the enforced standard
Meta spend joins to a HubSpot lead because the channel taxonomy and UTM schema were set before the campaign was built.
04Maps revenue back to campaigns
ACE maps revenue from Shopify and lead quality from HubSpot and Salesforce back onto the campaign the source field names.
05Runs on two clocks
Paid platform signals are read as they arrive; the priority query set is retested once a week across all four answer surfaces.
06Serves agents a subgraph
An agent reads only the subgraph its workflow needs, then writes back a typed proposal for a person to accept or reject.
What executes against it
Nothing reasons from raw records. Every one of these reads the graph.
- Rule engineLaunch gates, naming and UTM checks, tracking thresholds. Pass or fail against stored fields.
- IntelligenceCross-channel interpretation, anomaly explanation, the weekly narrative.
- AgentsBounded workflows that read a subgraph and write a typed proposal for a named owner.
By the time a launch gate or a weekly report runs, all of this has already happened.
Deterministic before generative.
ACE establishes deterministic structure first. Large language models operate only after the business graph has been validated.
- Rules are not generated.
- Schemas are not generated.
- Relationships are not generated.
- Governance is not generated.
That keeps AI reasoning bounded, explainable, reversible, and auditable.
Everything runs through ACE.
Every module reasons over the same operating graph.
- 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.
Run a sample Adeqo audit.
A snapshot of how your site performs across search structure, GEO readiness, and measurable performance signals. A sample of the checks Adeqo runs on managed accounts.