Meet your hosted marketing AI agent.
Configured once in the Agentcy portal. Connected to all your marketing data. Reachable from any AI tool you use, or any AI agent you build. Real answers, real insights — not raw data.
For → marketers, agencies, and the developers building for them.
Ask one question. Get one answer.
Five things happen between your question and your answer. Four of them happen on our servers — so your AI doesn't do the work, and you don't pay for it in tokens.
You ask in natural language
From Claude, ChatGPT, Cursor, or any AI tool you already use.
The agent picks the right sources
Figures out which marketing data sources are relevant from your question. You don't pick a tool.
Every source, all at once
GA4, Search Console, Google Ads, web research — whatever the question needs, gathered at the same time.
Analyzed on our side
We do the work first — your AI never has to parse rows of raw data. The hard part happens here, not in your chat.
Real answer in your AI tool
Natural language, in your existing chat. A paragraph, a table, a multi-section analysis with recommendations — whatever fits the question.
See it work. On real questions.
Ten real Agentcy responses, captured live. The agent shapes each answer to fit the question — short when you ask a number, deep when you ask for analysis. Watch the cycle.
Every Q&A above is a real Agentcy response — only the domain names, product categories, and competitor names have been changed for privacy. Numbers, recommendations, and source attributions are unedited.
The synthesis tax, paid upstream.
Most marketing data tools forward thousands of rows of raw data to your AI on every query. Your AI then has to parse, sort, and reason over them — burning tokens on work the upstream tool should have done. Agentcy does the work first.
Average synthesized response vs raw multi-source data on identical questions. Verified across 12 benchmark queries.
Agentcy exposes 4 tools at ~630 tokens of overhead. Stitching together separate marketing MCPs averages 149 tools at ~140,000 tokens — before you ask anything.
On competing multi-source marketing tools, four of twelve benchmark queries blew through Claude Code's 25,000-token response limit. Agentcy hit it zero times.
Numbers from Agentcy's April 2026 internal benchmark. 12 questions, real marketing data, three competing multi-source tools. Full methodology will be published alongside launch.
Honest about both sides of the line.
Most product pages only show what they do. We show both — because knowing what something doesn't do is half the trust.
- Combines every data source in one answer — GA4, Google Ads, Search Console, WooCommerce, and more
- Right-sized to your question — a one-liner, a table, or a full analysis
- Picks the right data sources automatically — you ask, the agent routes
- Switches clients in natural language — the agent picks up the domain from your question or conversation
- Generates charts and images on demand
- Hosted, always-on, always-current — no install, no maintenance
- Surfaces failures honestly — partial answers, never silent fakes
- Long-form, hosted reports you can share as a link (on the roadmap)
- Long-term memory across sessions
- Forecasting or predictions — we tell you what happened, not what's about to
- Custom data sources you bring yourself (post-launch)
- Custom skills you define (post-launch)
- Autonomous monitoring or alerts
- Replace your real-time dashboards
The "doesn't do" list is a roadmap, not a wall. We'll add to the left column over time. We won't pretend things on the right are already there.
One agent. Many applications.
Configure once. Use it from any AI tool you already work in. Or build with it via REST API in your own AI products and workflows.
In any AI tool you already use.
Plug Agentcy into Claude, ChatGPT, Cursor, Mistral, or any AI tool that supports MCP. Ask marketing questions in natural language. Get real answers in your existing chat.
For marketers, marketing ops, and agencies
In your custom AI products.
Call Agentcy from your code. Embed marketing intelligence into LangChain workflows, autonomous agents, internal tools, or any AI product you ship — via REST API.
curl -X POST https://data.goagentcy.com/api/query \
-H "Authorization: Bearer agcy_..." \
-H "Content-Type: application/json" \
-d '{
"request": "Analyze the SEO performance for example.com",
"domain": "example.com"
}'For developers, builders, and agency dev teams
One configuration. One agent. Two access patterns. The same Agentcy that answers marketers in Claude is the same Agentcy your custom workflow calls in production.
Don't take our word for it.
The walls Agentcy avoids are documented across the marketing data tool landscape. Sourced quotes from public GitHub issues and our own hands-on benchmarks.
“Most marketing data tools return raw rows on every query. Your AI then has to parse, sort, and write the answer — burning thousands of tokens of work that should have happened upstream. Agentcy does the work first.”
“Claude Code enforces a hard 25,000-token limit on MCP responses. Tool-surface marketing MCPs hit it constantly because every query returns hundreds of unaggregated rows. Of 12 benchmark queries against three multi-source data tools, four hit the wall before returning a single insight.”
“We don't have immediate plans to host this server.”
“Multi-property users always get data from the default property regardless of what property they request. Users with multiple GA4 properties are unable to query any property other than the one selected during setup.”
The questions we always get.
Is my marketing data safe?
Yes. Every credential is encrypted at rest, every client domain is isolated from every other (your accounts never see each other's data), and your data is never used to train any model — ours or anyone else's. Each connection only gets the minimum permissions the source actually needs. Read-only by design.
Can I revoke access whenever I want?
Yes. Disconnect a Google account from the Agentcy portal and the connection is revoked immediately. Delete an API key and it stops working in the next request. Cancel your subscription and all stored credentials are deleted within 30 days. No lock-in, no data hostage.
Do I need a developer to set this up?
No. Sign up, connect your Google account, pick the data sources you want, and ask your first question. Most users are running queries within five minutes. The only thing that needs a developer is the REST API path — and that's optional, only for teams building their own AI products on top of Agentcy.
Does it work with the AI tools I already use?
If your AI tool speaks MCP, yes. Confirmed working: Claude.ai, Claude Desktop, Claude Code, ChatGPT (Apps), Cursor, Mistral Le Chat, Windsurf, n8n, LangChain, and any custom MCP client. For tools that don't speak MCP yet, the REST API works from any language.
What happens if one of my data sources fails?
Agentcy tells you in the response. If a source errors, you get a partial answer with the sources that did work and a clear note that the failing source was excluded. We never silently swap in stale data, never invent numbers, never hide failures. You'll see exactly what was synthesized and what wasn't — and you can hop into the Agentcy portal to reconnect or reconfigure the failing source whenever you're ready.
Still have questions? See pricing or just start free — 50 questions, no credit card.
An AI marketing agent.
Not another data connector.
Free for 50 questions. No credit card. Configured in 5 minutes.