CrawlBot AI vs. Yellow.ai
Yellow.ai focuses on enterprise automation across channels with intents and journeys. CrawlBot is built for grounded website answers with citations, freshness controls, and hardened embeds. Here is how they differ and how to combine them.
Comparison
| Dimension | CrawlBot AI | Yellow.ai |
|---|---|---|
| Grounding | Hybrid RAG with refusal policy and citations | Intents, flows, and actions |
| Freshness | Sitemap-first crawl, IndexNow, incremental recrawl | Dependent on updated intents and knowledge |
| Analytics | Per-embed impressions, opens, chats, messages, fallback reasons | Journey and intent 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 Yellow.ai
- Omnichannel journeys, voice, and backend actions are central.
- Existing investments in Yellow.ai flows and integrations.
- Scenarios where contact center and CRM depth are required.
Pairing strategy
- Deploy CrawlBot on marketing, docs, and pricing pages for immediate cited answers.
- Keep Yellow.ai for transactional and authenticated flows.
- Route specific intents from CrawlBot to Yellow.ai when flows are better suited.
- Monitor CrawlBot fallback reasons to decide which intents to model in Yellow.ai.
Grounded web answers and journey automation solve different problems. Using both keeps visitors informed while complex tasks run through dedicated flows.