Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

MacCopilotmaccopilot.co

MacCopilot is a macOS application that integrates with AI models like GPT-4, ClaudeAI, and Google Gemini. It allows users to capture screen content and interact with AI for insights and analysis.

Developer & AI Platformmaccopilot.coTracked since 2026-08-211 discovery source
910Backlinks
114Referring domains
21Domain authority
-1.0%Referring domains · 90 days

Authority & distribution

How strong is MacCopilot’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

910Current snapshot

Referring domains

114Current snapshot

Authority

21Domain authority · category median 22

90-day move

-1.0%Referring domains, last 90 days
At 21, MacCopilot sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

AI referral visibility

Which AI assistants are already sending MacCopilot traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What MacCopilot is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“MacCopilot”

MacCopilot is a macOS application that integrates with AI models like GPT-4, ClaudeAI, and Google Gemini. It allows users to capture screen content and interact with AI for insights and analysis.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://maccopilot.co

Observed across 1 discovery source.

Research questions

What the evidence answers about MacCopilot.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does MacCopilot do and what problem does it solve?

MacCopilot is a native macOS application that integrates with AI models to analyze screen content. It solves the problem of context-switching by letting users select any screen area and chat with AI for instant insights and analysis. This is supported by its description as a 'Native Copilot AI for macOS' and its main text detailing the capture-and-ask workflow.

What are the key features and AI integrations of MacCopilot?

MacCopilot offers features including flexible screen capture, AI-powered visual analysis, and multi-platform support. It integrates with advanced AI models such as GPT-4o, Google Gemini, ClaudeAI, and local LLM servers via an OpenAI-compatible API. This is detailed in its main text sections on 'AI-Powered Interaction' and 'Seamless Multi-Platform Support'.

How is MacCopilot priced or packaged?

The provided evidence does not contain specific information about MacCopilot's pricing or packaging details. The website does not mention tiers, costs, or subscription models in the supplied text.

Who is MacCopilot designed for?

MacCopilot is designed for macOS users who need to analyze on-screen content like code, emails, designs, and charts. Its taxonomy classifies it under 'Developer & AI Platform', suggesting it is targeted at technical users for tasks such as development, design review, and analysis.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full MacCopilot intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured