CrawlBot AI vs. Freshchat AI
Freshchat is strong for live messaging and quick automations. CrawlBot delivers retrieval-augmented answers with citations, freshness controls, and transparent metrics. Here is how they differ and how to use both.
Comparison
| Dimension | CrawlBot AI | Freshchat AI |
|---|---|---|
| Grounding | Hybrid RAG with refusal logic and citations | Messaging flows and canned replies |
| Freshness | Sitemap-first crawl, IndexNow, incremental recrawl | Manual updates to flows and content |
| Analytics | Per-embed impressions, opens, chats, messages, fallback reasons | Chat and agent metrics |
| Security | SRI, strict widget CSP, origin checks, SSO, formal threat model | Platform security; embed headers depend on setup |
| Multi-tenant | Agency friendly styling and quotas per tenant | Single brand focus |
When CrawlBot fits best
- Visitors ask open-ended questions on marketing, docs, or pricing pages.
- Agencies manage multiple brands and need isolated styling, quotas, and analytics.
- Security teams require strict CSP and origin validation on embeds.
- Ops teams want retrieval transparency to reduce hallucinations quickly.
When to lean on Freshchat
- Live agent handoffs and messaging are primary.
- You already route inbound chats through Freshchat inboxes.
- Campaign pages need quick lead capture or notifications.
Pairing approach
- Deploy CrawlBot on content-heavy pages for grounded Q&A with citations.
- Keep Freshchat on conversion pages where human follow up matters.
- Route account or billing intents from CrawlBot to Freshchat agents.
- Compare containment and response times across both to refine placement.
Grounded answers build trust for self-serve visitors while Freshchat keeps agents ready for higher-touch conversations.