Still working on understanding the key differences/use cases here, but see below for a helpful table comparing the two services.

Feature/Aspect	Claude Web Search	Perplexity AI
Integration	Built directly into Claude’s existing interface	Standalone product with dedicated search interface
Search approach	On-demand searches triggered by user request or Claude offering	Automatic searching for most queries without explicit user permission
Citation style	Inline citations with source attribution	Footnote-style citations with links to sources
Result presentation	Maintains conversational flow with integrated search results	Structured format with clear separation between search results and AI synthesis
Search customization	Limited to basic search queries	Advanced filters and specialized search modes (academic, YouTube, etc.)
Multimodal capabilities	Text search only (as of current release)	Can process and search based on images and other media types
Real-time information	Access to current information, overcoming training data cutoff	Similar real-time information access
Transparency	Citations and source attribution in responses	Shows actual search queries performed and source snippets
User control	Requires user permission before searching	Automatically searches without explicit permission
Content scope	General web search	Specialized searches including academic papers, news, and social media

How did I make this table so quickly? Don’t be silly. Claude did.

I also found Claude’s summary of use cases helpful:

Best for Claude Web Search:

• When you want an AI assistant that can occasionally augment conversations with web information, rather than a dedicated search tool
• For users who prefer having control over when searches happen, with explicit permission required
• When maintaining a natural conversational flow is important
• For simple factual queries where basic web search is sufficient
• When you’re already using Claude for other tasks and want seamless integration

Best for Perplexity AI:

• When your primary goal is research-oriented information gathering
• For academic or specialized searches requiring access to papers, social media, or other specific content types
• When you need advanced filtering options and specialized search modes
• For users who prefer seeing the actual search queries and source snippets
• When working with multimodal queries that involve images or other media
• For comprehensive research where you want automatic searching without needing to request it

The key difference is in their design philosophy: Claude is primarily a conversational AI that now has search capabilities, whereas Perplexity was built from the ground up specifically for AI-powered information retrieval. The choice depends on whether you want search as a feature within a broader AI assistant or a dedicated research tool optimized specifically for information gathering.