AgencyAnalytics vs Hex
Side-by-side trajectory, velocity, and editorial themes.
AgencyAnalytics bets on AI-search reporting with AI Tracker while widening its data-source catalog.
AgencyAnalytics is moving on two fronts. It launched AI Tracker in open beta — a paid add-on that reports how clients appear in AI-generated search answers — and rebranded AskAI to AgencyAI with a dedicated sidebar and surfaced MCP instructions. Alongside, it added data sources (Snowflake, Microsoft Clarity), unified Goals and Alerts into a KPIs area, and improved Rank Tracker stability, while absorbing platform-driven metric deprecations from Microsoft Ads and Meta's Graph API v25.
The AI push is the story: AgencyAnalytics is positioning agencies to report on AI-search visibility (AEO/GEO) before clients ask, and wiring in an AI assistant plus MCP access. The data-source and KPI work keeps its core reporting breadth ahead of competitors while the AI features stake out a new category of client deliverable.
Expect AI Tracker to move from open beta toward general availability with pricing refinement, and the AgencyAI/MCP surface to expand. Data-source additions and platform-driven metric maintenance will continue in the background.
Hex is remaking its notebook into an agent that both uses and plugs into MCP
Hex is converting its analytics notebook into an AI agent platform. It now runs as an MCP client, is invocable from Codex, and ships generative data apps built from prompts, while keeping its model roster current with Kimi K2.7 and Fable 5 and giving admins default-model and branding controls. Integration and governance work — a Figma connector, AWS IAM-role support, signed embedding — rounds out the core.
The arc points at Hex as connective agent infrastructure: consuming external context and tools via MCP, distributing itself into other agent surfaces like Codex, and letting analysts assemble apps and dashboards from prompts. Expect the agent, rather than the notebook grid, to become the primary interface, with model choice and governance layered on top.
Likely next steps deepen the agent's tool-use over MCP connections and push generative apps further toward production embedding and governance controls.
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