AgencyAnalytics vs Dovetail
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.
Dovetail is turning its research repository into an AI analyst that reads, computes, and cites.
Dovetail has shifted its center of gravity from storing research to answering questions over it. The last month is almost entirely about the chat layer: persistent multi-turn context, code execution with inline charts, admin-curated Docs as context, and a new deep research mode. The MCP server is gaining write tools, making the repository operable by outside agents.
The arc points to an analytical agent that works across both qualitative and quantitative data and can be driven programmatically. Each release widens what chat can pull in and what it can do, from running code to sustaining reasoning across turns. Dovetail is positioning the chat surface, not the project, as the primary way users interact with their research.
Expect deep research mode to gain agentic follow-through that writes results back to Docs, and the MCP write surface to keep expanding toward full repository control from external tools.
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