Exa vs Perplexity
A side-by-side comparison of Exa and Perplexity — two options for ai copilots & automation. Pricing, features, and honest pros and cons.
Category
AI Copilots & Automation
AI Copilots & Automation
Rating
4.4 / 5
4.5 / 5
Pricing
Usage-based; free tier
Free; Pro $20/mo
Best for
Funds with technical DNA building proprietary sourcing and research agents
Investors replacing ad hoc googling with cited, auditable AI research
Key features
- Semantic web search API that matches meaning, not keywords
- Websets: searches returned as structured lists of companies and people
- Similarity search — find companies like a given URL
- Full-page content retrieval for downstream AI processing
- Enrichment columns (funding, headcount signals, contact paths)
- Cited, real-time web research answers
- Deep Research mode for multi-step long-form analysis
- Access to multiple frontier models
- Internal knowledge and file search on enterprise plans
- Spaces for organizing research threads by deal or theme
Pros
- Purpose-built substrate for custom deal-sourcing agents
- Finds long-tail companies keyword search and databases miss
- Developer-friendly, with transparent usage pricing
- Fast, well-cited answers analysts actually trust
- Simple per-seat pricing versus opaque enterprise AI deals
- Deep Research produces respectable first-pass market scans
Cons
- An API-first tool — non-technical teams should start with Websets only
- Coverage depends on the public web; stealth companies stay invisible
- Entity data is thinner than dedicated company-data vendors
- Not finance-specific; no data-room or CRM awareness
- Web-sourced depth varies on private-market questions
- Internal connectors are younger than dedicated enterprise-search rivals