CrawlBot AI vs. Amazon Q Chatbot
Amazon Q is designed for internal knowledge and AWS workflows. CrawlBot focuses on grounded website answers with citations, freshness monitoring, and hardened embeds. Here is how they differ and how to pair them.
Comparison
| Dimension | CrawlBot AI | Amazon Q |
|---|---|---|
| Primary use | Public website assistant with citations | Internal AWS knowledge and agent assist |
| Grounding | Hybrid RAG with refusal policy and citations | AWS data lakes, code, and knowledge bases |
| Freshness | Sitemap-first crawl, IndexNow, incremental recrawl | Depends on ingestion pipelines you configure |
| Analytics | Per-embed impressions, opens, chats, messages, fallback reasons | Amazon Q metrics inside AWS |
| Security | SRI, strict widget CSP, origin checks, SSO, formal threat model | AWS IAM, VPC, and Guardrails |
| Multi-tenant | Agency friendly styling and quotas per tenant | Single AWS account focus |
When CrawlBot fits best
- You need grounded answers on marketing, docs, pricing, or policy pages with zero hallucination tolerance.
- Multi-brand agencies need isolated styling, quotas, and analytics.
- Security teams require strict CSP, origin validation, and SSO for admin apps.
- Ops teams want retrieval transparency with fallback reasons and stale page alerts.
When Amazon Q is stronger
- Internal developer support, runbook search, or knowledge tasks inside AWS.
- Deep integration with AWS data sources, code, and IAM policies.
- Agent assist or analytics for support teams that live in AWS.
Pairing approach
- Deploy CrawlBot on public properties for grounded Q&A.
- Use Amazon Q inside AWS accounts for internal knowledge and agent workflows.
- If Amazon Q surfaces content gaps, add those URLs to CrawlBot’s allowlist and re-crawl so public answers stay current.
- Share learnings between both assistants: CrawlBot containment vs Amazon Q usage to prioritize documentation updates.
Grounded web answers and internal AWS assistants serve different audiences. Running both keeps external visitors informed and internal teams productive.