CrawlBot AI vs. Kore.ai Virtual Assistant
Kore.ai powers enterprise virtual assistants across channels with rich flows and integrations. CrawlBot focuses on grounded website answers with citations, freshness controls, and hardened embeds. Here is how they differ and how to combine them.
Comparison
| Dimension | CrawlBot AI | Kore.ai Virtual Assistant |
|---|---|---|
| Grounding | Hybrid RAG with refusal policy and citations | Intents, dialog flows, and connectors |
| Freshness | Sitemap-first crawl, IndexNow, incremental recrawl | Dependent on updated intents and knowledge sources |
| Analytics | Per-embed impressions, opens, chats, messages, fallback reasons | Intent and dialog analytics |
| Security | SRI, strict widget CSP, origin checks, SSO, formal threat model | Enterprise platform security; embed controls depend on configuration |
| Multi-tenant | Agency friendly styling and quotas per tenant | Single enterprise focus |
When CrawlBot fits best
- Content-heavy sites need cited answers without intent modeling overhead.
- Agencies manage multiple brands and require isolated styling, quotas, and analytics.
- Security teams insist on strict CSP and origin validation for embeds.
- Ops teams want retrieval transparency to reduce hallucinations quickly.
When to lean on Kore.ai
- Complex transactional or voice flows across channels.
- Existing investments in Kore.ai bots and connectors.
- Scenarios where backend actions and enterprise integrations are central.
Pairing plan
- Deploy CrawlBot on marketing, docs, and pricing pages for immediate cited answers.
- Keep Kore.ai for transactional and authenticated flows across chat and voice.
- Route specific intents from CrawlBot to Kore.ai when flows are better suited.
- Monitor CrawlBot fallback reasons to decide which intents to model in Kore.ai.
Grounded web answers and enterprise virtual assistant flows solve different problems. Using both keeps visitors informed while complex tasks run through dedicated workflows.