Advanced website discovery
The crawler respects robots.txt, finds sitemaps and canonical URLs, prioritizes useful pages, blocks private-network targets, and records page-level failures.
AI chatbot trained on your website
Obseri crawls the pages you already maintain and turns them into a searchable, inspectable knowledge base. The resulting assistant answers from that evidence instead of hiding everything behind vague AI training.
Visible pages, blocks, and citations
Incremental refresh when content changes
Retrieval testing before launch
Most website chatbot tools collapse ingestion into a progress spinner. Obseri exposes discovered pages, extracted content, revisions, crawl activity, errors, and the knowledge blocks used during retrieval.
The crawler respects robots.txt, finds sitemaps and canonical URLs, prioritizes useful pages, blocks private-network targets, and records page-level failures.
Navigation noise and duplicate content are reduced before chunking. Every searchable block remains connected to its page and source URL.
Conditional requests, content hashes, and revision history identify real changes so a refresh can preserve stable knowledge and update only what moved.
How it works
Start with one URL. Obseri checks crawl rules, discovers important pages, and shows each stage instead of leaving you at an unexplained loading screen.
Search learned pages, open extracted content, add manual knowledge, and ask test questions to see which sources the assistant would use.
Define unknown-answer behavior, escalation, personality, and voice, then embed the tested assistant with a small asynchronous script.
Answer questions across feature pages, pricing, documentation, integrations, trust content, onboarding material, and release notes.
Turn long technical guides into conversational retrieval while preserving direct links to the page that supports each answer.
Explain services, availability, process, policies, and next steps without forcing visitors to understand the site structure first.
Refresh product information, schedules, policies, and documentation while retaining revision history and visibility into what changed.
Clear answers
Obseri does retrieval-based knowledge ingestion rather than retraining a foundation model. It discovers pages, extracts useful content, creates searchable blocks, and retrieves relevant evidence for each visitor question.
Yes. Soul Studio exposes the source, individual documents, extracted content, block counts, crawl status, revisions, and retrieval results so you can audit the knowledge base.
Refresh uses validators and content hashes to recognize unchanged pages and create revisions for meaningful updates. You can inspect the resulting crawl activity and page state.
You can require grounded behavior and define exactly how the agent responds when retrieval does not contain enough evidence. The test lab lets you evaluate this before publishing.
Give Obseri one public URL. Review what it learns, shape the agent, and test the real visitor experience before you publish.
Start with your website