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Key Concepts

Welcome to Aliveo AI! These are the fundamental building blocks you’ll use to turn raw data into actionable insights and automated workflows.

Aliveo AI Data Agents

Your AI-powered data assistant, embedded throughout the platform.

  • Natural-language interface: Ask questions in plain English and get instant answers with visualizations, or summaries.
  • Context-aware: Automatically leverages your connected datasets, business contexts and knowledge graph to deliver relevant answers. Its memory retains context across interactions, so follow-up questions build on previous insights.
  • Smart suggestions: Proactively recommends next questions, based on your data and past interactions, to help you explore deeper.

Overall, Data Agents work like personal data analysts, guiding you through your data landscape and surfacing insights you might not have thought to ask for. Underneat the hood, it orchestrates complex interactions with your data by leveraging dedicated AI agents for different tasks, such as planning, coding, validating, reporting, and visualization. It learns from your interactions to become more effective over time, adapting to your unique business context and data landscape.

Analytics Chat

An interactive conversational workspace where you can collaborate with Aliveo AI towards solving data challenges.

  • Multi-turn dialogue: Track context across messages—follow up on previous questions, drill down into anomalies, or pivot to new analyses.
  • Shared history: All chats history is preserved and can be revisited or branched off for new investigations.
  • Rich outputs: We embed charts, tables, links and images, directly in the chat stream.
  • Export & share: Easily share an entire chat with your teammates, save visualizations, or export the data table to Google Sheets or CSV for further analysis.

Automation Agents

Automate repeatitive multi-step data processes without writing code.

  • Step-wise builder: Create workflows by chaining together different complex data tasks.
  • Schedule: Run workflows on your schedule- Weekly reports, daily campaign monitoring, Quarterly business reports, or ad-hoc analyses.
  • Templates: Start from pre-built workflow templates for common tasks like Monitoring ad performance, Anomaly detection, or Root cause analysis, Keyword Suggestions, and more.
  • Notifications: Receive alerts on email or Slack when workflows complete, so you can take action immediately.

Dashboards

Centralized spaces for monitoring KPIs and trends. An easier way to visualize your data and share insights with your team.

  • Multi-data views: Combine multiple metrics across different datasets into a single dashboard view.
  • On demand filters & drilldowns: Easily filter on specific column values or metric ranges and save for future views.
  • Scheduling: Set up to run dashboards on a schedule, so you always have the latest data at your fingertips.
  • Alerting: Set thresholds and receive notifications (email, Slack) when metrics breach defined limits. This feature is fully setup in natural language, so you can say things like “Alert me when WoW ROAS drops by 10%” or “Notify me if CPA exceeds $50 only for those campaigns which have 'Travel' in their name”.

Datasets

Your structured goldmine—tables, views, or query results you can explore and share.

  • Ad Platform Data: We automatically connect to your ad platforms (Google Ads, Meta Ads, etc.) and pull not only campaign performance data, but also change logs, keywords, creative assets, settings, breakdown details and more. Overall, we handle the data wrangling for you, so you can focus on insights. We provide the following unified datasets:
  • Ad Performance Data: Campaign performance metrics, settings, and change history grouped in different granularies such as campaign, ad group, and ad level.
  • Creative Data: Ad creatives, images, videos, and metadata.
  • Keyword Data: Keyword performance, match types, search terms, and historical changes.
  • Custom Data: You allow API level integration with your data warehouse, Google Sheets, or even local CSV files. You can easily select the columns you want to include, apply filters, and create custom views. These datasets can also be joined with ad platform data for deeper insights.

Data Knowledge Graph

The semantic layer that connects all your entities, concepts, and relationships. We build a rich, interconnected web of your data that enhances understanding and insight generation. This is the backbone of Aliveo AI’s intelligence, enabling it to understand the context and relationships within your data. We consider different aspects of your data landscape, including but not limited to:

  • KPI & Metric Funnels: Different lines of business, marketing channels, and customer journeys may optimize for different metrics. We capture these as semantic models on a per account basis, so you can ask questions like “What is the KPI for search campaigns last week?” or “Which campaigns were performing poorly?” and get answers without having to specify the KPI name or the campaigns involved.
  • Tags: We automatically infer tags on your campaigns, along with ingesting different label information from your ad platforms. Tags can be used to group campaigns, together, so you can ask questions like “What is the ROAS for all BOF campaigns?” or “Show me the performance of all campaigns in US vs EMEA”.