Marketing teams must aggregate data from dozens of SaaS tools, manually export CSVs, and rely on analysts to monitor ad spend, SEO performance, and outreach campaigns. This fragmented workflow creates latency, errors, and high labor costs, limiting the speed at which growth initiatives can be optimized. Graphed delivers AI‑driven autonomous agents that act as virtual marketing employees.
Funding
Funding not disclosed
Founders
Product
Problem
Marketing teams must aggregate data from dozens of SaaS tools, manually export CSVs, and rely on analysts to monitor ad spend, SEO performance, and outreach campaigns. This fragmented workflow creates latency, errors, and high labor costs, limiting the speed at which growth initiatives can be optimized.
Solution
Graphed delivers AI‑driven autonomous agents that act as virtual marketing employees. Each agent connects directly to over 750 platforms—including Shopify, Meta Ads, Google Analytics 4, and HubSpot—via native APIs, providing real‑time access to raw business data without manual exports. Users configure tasks in plain English; the agents then analyze performance, adjust paid‑media budgets, generate SEO‑optimized landing pages, draft content briefs, and manage email sequencing around the clock. Results are surfaced as actionable insights and automated actions through dashboards, Slack notifications, or API callbacks, allowing marketers to focus on strategy rather than data wrangling. The service runs on isolated compute sandboxes with dedicated resources, ensuring scalability and security while the underlying Hermes engine continuously refines contextual understanding of each business’s metrics.
Target Audience
Primary customers are growth teams at e‑commerce brands, SaaS companies, and digital marketing agencies that need continuous, data‑driven optimization across paid media, SEO, content, and outreach without expanding analyst headcount.
Features
- Direct API integration with 750+ data sources, eliminating CSV imports and ensuring live data streams for all agents
- Hermes‑powered autonomous engine that executes tasks in isolated containers with dedicated CPU, memory, and tool access
- Plain‑language task definition UI that parses natural‑language commands, asks clarification questions, and translates them into executable workflows
- Paid‑Ads Agent: real‑time monitoring of Meta, Google, and TikTok campaigns, automated budget reallocation, and under‑performer flagging with configurable ROAS thresholds
- SEO Agent: automated keyword research, on‑the‑fly landing‑page and blog post generation, and rank tracking with performance dashboards
- Content Strategist Agent: data‑driven brief creation, gap analysis against competitor funnels, and conversion‑focused content recommendations
- Outreach Agent: end‑to‑end email sequence orchestration, engagement tracking, and send‑time optimization based on audience behavior
- MCP server integration enabling external AI assistants (e.g., Claude, Cursor) to query agent data, trigger actions, and retrieve insights via standardized APIs
- Enterprise‑grade security: role‑based access control, end‑to‑end encryption, and audit logging for all data interactions