CrawlBot AI vs. Ada Support AI

Ada focuses on automated customer support and ticket deflection. CrawlBot is built for grounded website assistants that stay aligned to your live content. Here is how they differ and when to use each.

Quick view

Dimension	CrawlBot AI	Ada Support AI
Grounding	RAG with citations and adaptive thresholds	Knowledge base and flow builders
Freshness	Sitemap-first crawl, IndexNow, incremental recrawl	Syncs to configured sources, manual updates
Analytics	Per-embed impressions, opens, chats, messages, fallback reasons	Conversation and deflection stats
Security	Formal threat model, strict widget CSP, origin checks	Strong support security, less focus on embed CSP
Multi-tenant	Agency friendly white label, quotas, and branding per tenant	Primarily single brand
SSO	OIDC and SAML ready at launch	Available on higher tiers

When CrawlBot fits better

• You need grounded answers on marketing, docs, and pricing without routing to tickets.
• Agencies or multi-brand teams need independent styling, quotas, and analytics.
• Security reviews demand strict CSP, SRI for embeds, and clear origin checks.
• You want retrieval transparency and adaptive relevance thresholds to curb hallucinations.

When to keep Ada

• Deep support workflows with authenticated user data are central to your experience.
• You rely heavily on flow builders and CRM integrations for case handling.
• Support agents want to keep existing Ada macros and intents for complex cases.

Run them together

1. Place CrawlBot on public pages for discovery and pre-sales questions.
2. Create triggers to hand off account or billing questions to Ada.
3. Compare containment and outdated feedback across both tools; adjust CrawlBot thresholds or crawl cadence to close gaps.
4. Feed high-volume unanswered queries back into Ada flows where human context is required.

Pairing a crawl-first RAG assistant with a support automation platform gives visitors instant answers while keeping ticket workflows intact.