CrawlBot AI vs. LiveChat AI
LiveChat excels at live conversations and agent workflows. CrawlBot delivers retrieval-augmented answers with citations, freshness controls, and transparent metrics. Here is how they differ and how to pair them.
Comparison
| Dimension | CrawlBot AI | LiveChat AI |
|---|---|---|
| Grounding | Hybrid RAG with citations and refusal policy | Agent macros and knowledge base replies |
| Freshness | Sitemap-first crawl, IndexNow, incremental recrawl | Content updates managed manually |
| Analytics | Per-embed impressions, opens, chats, messages, fallback reasons | Agent and chat performance 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 want immediate cited answers 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 for embeds.
- Ops wants retrieval transparency to reduce hallucinations quickly.
When to lean on LiveChat
- Live agent collaboration and escalation are core to your experience.
- You already run all inbound chat through LiveChat inboxes.
- Lead capture and appointment routing need human follow up.
Using both
- Place CrawlBot on content-heavy pages for factual Q&A with citations.
- Keep LiveChat on conversion-heavy pages where human help is expected.
- Route account or billing intents from CrawlBot to LiveChat agents.
- Compare containment and response time across both to refine placement.
Grounded answers keep self-serve visitors moving, while LiveChat handles conversations that need a human touch.