Lemonado
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About
Lemonado functions as an AI-native data orchestration platform specifically designed for marketing agencies struggling with fragmented client information. By unifying data from disparate sources like Google Ads, Meta Ads, LinkedIn, and internal systems like Stripe or Google Sheets, it creates a trusted context layer that allows AI agents to perform complex tasks with high accuracy. Instead of manually logging into multiple dashboards to compile reports or perform analysis, users can interact with their data through a natural language interface to generate insights or automate routine documentation in minutes. The platform's technical architecture is built on an enterprise-grade OLAP database, ensuring that queries are processed with high speed and precision even when handling large datasets. A standout feature is the persistent client memory, which allows the AI to retain knowledge of specific client goals, historical decisions, and unique business definitions across different chat sessions. Furthermore, Lemonado supports the Model Context Protocol (MCP), enabling users to extend this unified context to other AI chat tools or external workflows without the need to manually copy data or lose important parameter definitions. Targeted primarily at marketing agencies and growth teams, Lemonado is built to handle the complexities of multi-client management. Each client is granted a dedicated workspace with strict data isolation, ensuring that information from one account never bleeds into another during analysis. This makes it an ideal solution for account managers who need to produce high-quality, narrative-driven reports quickly, as well as for technical teams looking to build custom AI agents that require grounded, real-time business data to function effectively in a production environment. What distinguishes Lemonado from standard business intelligence tools is its foundational focus on the agentic era. It doesn't just display data; it prepares it for AI consumption by cleaning and structuring it into a trusted layer. By providing transparent logic and controlled AI exposure, agencies can maintain full governance over how their data is interpreted by large language models. The platform's collaborative nature also allows teams to share successful query frameworks and prompt libraries, turning individual expertise into a reusable company asset that compounds in value over time.
Pros & Cons
Enterprise-grade OLAP database provides extremely fast query performance for large datasets.
Persistent memory ensures AI agents retain specific client context and goals over time.
Supports major marketing integrations including Google Ads, Meta, and LinkedIn Ads.
Model Context Protocol (MCP) allows data context to be used in external AI tools.
A 10-day free trial for the Max plan is available without requiring a credit card.
Usage is restricted by a monthly credit system which limits the number of AI interactions.
The platform is currently in a beta phase, which may involve occasional feature changes.
Integration options are primarily focused on marketing and financial data sources.
Use Cases
Agency account managers can automate monthly client reporting by using natural language prompts to generate narrative-driven performance summaries.
Growth marketers can perform cross-platform attribution analysis by querying Meta and Google Ads data simultaneously in a single workspace.
Data analysts can build reusable prompt libraries and query frameworks to standardize reporting quality across the entire agency team.
AI developers can use the MCP integration to feed grounded client data into custom-built agents for advanced workflow automation.
Platform
Task
Features
• automated reporting
• natural language analysis
• role-based access
• collaborative prompt library
• enterprise olap database
• model context protocol support
• persistent client memory
• connected data layer
FAQs
What is Lemonado?
Lemonado is an AI data platform designed for marketing agencies to unify client information. It connects various business tools into a single trusted data layer, allowing teams to explore performance and automate reporting using consistent context.
What is a credit?
Credits are the currency for AI interactions within the platform, where simple questions cost 1 credit and complex report generation costs up to 30. This system allows for flexible scaling based on the depth of analysis required by the user.
Can Lemonado modify my ad campaigns?
Lemonado does not have the capability to modify ad campaigns or budgets directly. Its primary function is to provide analysis, insights, and reporting based on the data retrieved from connected platforms.
How is data security handled?
Security is managed through client-scoped access and role-based permissions that isolate data by workspace. Users have full control over which data connectors are exposed to the AI, ensuring strict governance across the team.
Pricing Plans
Plus
USD108.00 / per month• 1,000 Credits
• Unlimited data connectors
• Unlimited AI connectors
• Unlimited accounts
• Query live data
• Unified data query engine
• Persistent client memory
Max
USD276.00 / per month• 5,000 credits
• Everything in Plus
• Automate client reports
• Superfast data warehouse
• 10-day free trial
Enterprise
Unknown Price• Negotiable credits
• SSO authentication
• Row level permissions
• White label
• Everything in Max
• Custom agents
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
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