AI Broken Link Detection starts with an evidence contract
A broken link is an HTTP and navigation fact, not an AI opinion. Use deterministic extraction and status checks to establish the finding. AI can classify destination intent, group repeated patterns, or draft remediation notes after the evidence exists.
A broken-link workflow needs a crawled source URL, extracted destination, normalized HTTP result, and reproducible failure category. AI is useful for prioritizing context, not for inventing link health.
Signals and responsibilities
Link extraction
Parse rendered HTML when client-side navigation links do not exist in the initial server response.
Status validation
Follow an explicit redirect policy, distinguish timeouts from failures, and respect rate limits and destination terms.
Context capture
Store the source URL, anchor context, destination, response history, and screenshot.
AI after evidence
Use generated grouping or explanations as review aids, not as the source of truth for status.
Implementation sequence
- Render authorized pages as HTML and extract normalized links.
- Deduplicate destinations and apply domain policy.
- Check responses with bounded concurrency and redirects.
- Use AI to group confirmed findings for review.
Record source page, anchor context, resolved destination, HTTP method and status, redirect chain, check time, retry outcome, and reviewer action. The screenshot supports context but does not substitute for the network check.
Limits that keep the workflow honest
Snapshot Site does not provide a site crawler or native broken-link endpoint. Your application must extract links, make authorized HTTP checks, and decide redirect, timeout, and retry policy.
Generated triage can estimate which links appear prominent, while a real HTTP client must establish reachability. Authentication, robots policy, rate behavior, and temporary failures still require explicit handling.
Security, privacy, and operations
Crawl only permitted pages, bound outbound requests, and block unsafe destination ranges in the checker you operate. Remove signed tokens and personal data from link reports before sharing them.
Use AI DOM analysis for extraction context, website content monitoring for repeated checks, and Snapshot Site API documentation for rendered evidence.