askbowtie

askbowtie is for people who want an AI agent to answer questions about their actual website, using the site’s real performance and tracking data. It’s aimed at marketers, developers, and operators who keep getting stuck in spreadsheets, dashboards, or “what changed?” guesswork.

It installs with one tag, then links in other data sources through a single MCP so the agent can answer with joined context:

• One tag install: captures sessions, conversions, JS errors, and broken forms without blocking page rendering
• One MCP connection: pulls multiple signal types into one agent workflow
• Data sources it reads: analytics-style behavior, error signals, Search Console queries/rankings, Google Ads spend and conversions, plus uptime
• Agent-native Q&A: you ask questions like what broke today or which keywords actually pay, and it answers using receipts from across signals
• Optional dashboard: exists if you want it, but the core experience is agent-first

A key differentiator is that it joins data into one answer. Instead of opening separate tools for traffic, errors, search, and ads, you ask one question and get a response that can point to specific pages and changes (for example, checkout error spikes, which page sections drive conversions, or which search terms correlate with purchases).

There’s also a free audit path so you can crawl a public URL first and see the kind of issues it finds before you connect everything else. The offer emphasizes that your site data is kept in your own database (isolated per site), and the system is designed so only the agent’s requested answers are returned via the MCP flow.