Browser AI extensions put conversational models and web-aware agents directly into users’ browsing workflows. This topic compares Anthropic’s Claude family as deployed in Chrome with the wider class of Chrome AI extensions — including task-focused assistants like Minion AI and web-grounded answer engines such as Perplexity AI — to clarify when each approach fits user needs. Claude (the Claude 3 family) represents a conversational and developer-focused assistant designed for writing, analysis, code and research, typically surfaced through extensions or integrations that prioritize conversational safety and general-purpose assistance. Chrome AI extensions is a broader category that includes single-purpose helpers, real-time web-grounded answer tools, and agent-based automation: Perplexity AI emphasizes sourced, citation-forward answers for research and fact-checking; Minion AI focuses on hands-on web task assistance and mobile/extension-based agents. As browser extensions, these tools trade off immediacy and contextual access (reading pages, filling forms, running actions) against privacy, data routing, and extension permissions. Key considerations for users and organizations include source attribution and grounding (critical for research workflows), agent capabilities for automating multi-step web tasks, model safety and content-handling policies, and integration options for developers (APIs, plugins, or in-browser SDKs). Understanding this landscape helps buyers choose whether they need a general-purpose conversational model integrated into Chrome (Claude), a citation-first research assistant (Perplexity), or an agent that performs tasks in the browser (Minion). The comparison highlights practical tradeoffs—accuracy, transparency, automation potential, and data control—relevant to personal assistants and AI tool marketplace decisions in late 2025.