AgencyAnalytics vs Deepnote
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.
Deepnote reshapes the data notebook into agent-operable infrastructure.
Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.
Two tracks are converging: reproducibility and engineering rigor (immutable run snapshots, Git sync, notebook interoperability) and agent-operability (MCP tools, Codex context). Deepnote is positioning the workspace as the trusted context layer that AI agents act through, not just a place humans write notebooks.
Expect more MCP tooling that lets agents operate Deepnote projects autonomously, plus deeper native hooks for external coding agents — the workspace-as-agent-context bet will likely expand beyond Codex.
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