Pay for work done
We front you $150 credits. Unlimited seats and ad spend. Credits cover the work your AI employee does.
- $150 in credits
- No credit card
- Cancel anytime
Start
Hire your AI employee. Ask questions, build on live data, and hand work off.
1,500 credits/month
Automate
Single brand teams, and MCP into the AI tools you already use.
6,000 credits/month
AI-First
For agencies and multi-brand teams running Lemonado as the operating layer.
15,000 credits/month
Try it free: we front you $150 to get started, for 10 days. No credit card required.
Enterprise
Custom pricing
Everything in AI-First, plus a branded client portal, SSO, white labeling, row-level permissions, and dedicated onboarding. We scope, price, and onboard you personally.
Book a 30-min call →Credits
Need more mid-month?
Top up 500 credits for $50, anytime. The same rate whether you're on Start or AI-First. Or upgrade your plan for a bigger monthly pool.
$50per 500 creditsCompare plans
We're keeping it simple: affordable plans that scale as you do.
Usage & limits
Lemonado features
Connectors
Extend
Security & governance
Efficiency
We optimize so you spend fewer credits
Credits pay for building the work, not for looking at it again. Saved queries stay live without re-burning credits, and smart caching keeps usage down.
Saved queries stay live
Once a query is built, refreshing and viewing it does not burn credits again. You pay to build, not to run.
Smart caching
Repeated asks reuse work already done, so they cost fewer credits than starting from scratch.
Right-sized work
Simple lookups use a single credit. Only deeper analysis draws more, so everyday questions stay cheap.
Frequently Asked Questions
Credits are used when the AI builds something new: answering a fresh question, generating an artifact, or creating a saved query. Simple actions use fewer credits, while deeper analysis uses more.
Saved queries keep data real time. Once a query is built, refreshing and viewing it does not burn credits again, so you pay to build, not to run. Smart caching reuses work where it can, so repeated asks cost fewer credits than starting from scratch.
Here are a few examples:
| User question | Work done | Credits |
|---|---|---|
| How much did we spend on Meta Ads for [Client Name] yesterday? | Retrieves a single client-specific spend data point from Meta Ads and returns the result. | 1 |
| Why are Google Ads conversions down for [Client Name] this week? | Pulls recent Google Ads data for the client, compares week-over-week performance, and highlights likely drivers of the decline. | 7 |
| Build a branded performance Studio for [Client Name] for Q2. | Collects data across connected client accounts, calculates KPIs, surfaces insights, and generates a structured, shareable Studio. | 30 |
You can top up 500 credits for $50 at any time, on any plan. Upgrading gives you a bigger monthly pool. Without a top-up, AI features pause until your credits reset at the start of your next billing cycle.
Because charging per person taxes collaboration. Your whole team works on one plan, with unlimited seats on every tier, and you pay for the work the AI actually does instead of how many people are logged in. Ad-spend and data are unlimited too.
Yes. We front you $150 to get started, which is 1,500 credits, for up to 10 days. No credit card required.
Lemonado is your marketing team's AI co-worker. Like a hire, it connects to your entire stack and does the work end-to-end: pulling data, building reports, optimizing accounts. It executes, it doesn't just report, so your people spend their attention on decisions instead of busywork.
You work with it three ways: talk to it in Chat, work alongside it in the Studio and Ads workspaces, or hand work off to it with Tasks.
You can wire ChatGPT or Claude up to a few of your marketing tools today, and people do. The catch is what you get back. Each connector pulls raw data from one platform in isolation, with no shared definitions, no client context, and no governance. Ask a real question across Google Ads, Meta, LinkedIn, GA4 and revenue and you get a different answer every time, or no answer at all.
Lemonado is the layer underneath. We blend every platform into one governed, query-ready dataset, keep persistent context per client and brand, and expose it to ChatGPT, Claude, Cursor, or n8n through a single MCP. The AI tool you already use stays, but the answers are now grounded in your actual marketing data, and consistent across the whole team.
Over 3,000. Native connectors cover the core marketing stack: Google Ads, Meta Ads, LinkedIn Ads, TikTok, Pinterest, Snapchat, Microsoft Ads, YouTube, Google Analytics, Search Console, Google Sheets, Shopify, Stripe, HubSpot, Klaviyo, and Snowflake.
Beyond those, point Lemonado at any product with an API and it builds the connection itself, handling keys, auth, and setup. You can also upload CSVs straight into the same governed layer. See the full list on integrations.
Yes, and any AI tool that supports MCP, including Cursor and n8n. In Lemonado you click one button to create an MCP connection. Each connection is per-client, scoped, and read-only, so an outside AI tool can read your governed data but never write to your accounts.
MCP is included from the Automate plan up.
Yes. With Studio you build dashboards and reports by describing them, on live data, with no manual pipelines, no paid connector per source, and no drag-and-drop widget building. Studio refreshes in real time, not on a cron.
Then the same AI co-worker works on top of it: monitoring accounts, optimizing them, and delivering the reports on a schedule.
Three ways to work with your AI co-worker: talk to it, work alongside it, or hand work off.
Chat: Ask questions in plain language across every connected platform, with full client context and live data. Available in the web app, any Slack or Microsoft Teams channel, and over email.
Studio: The workspace for building. Dashboards, reports, multi-page docs, and client-facing pages, built from a prompt, branded, and shareable. They refresh in real time, not on a cron.
Ads: The workspace for ad work, with hook scores, fatigue detection, and cross-platform creative analysis.
Tasks: Hand work off once or on a schedule, and it delivers to Slack, Teams, email, or in-app.
Custom MCPs: Plug Lemonado into ChatGPT, Claude, Cursor, or n8n, from the Automate plan up.
Everything builds on the same live data and persistent context, so nothing starts from scratch.
Yes. Monthly plans can be cancelled at any time and stay active until the end of the current billing cycle. No lock-in.
Yes. Annual billing saves 20% and is billed once a year. For larger teams or agencies, we offer custom plans. Contact hello@lemonado.io to talk through what fits.
Email hello@lemonado.io and a human answers. Enterprise plans include dedicated onboarding.
Still have a question?
Shoot us an email at hello@lemonado.io.
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