What it means
An AI crawler is a user agent from an AI search or assistant system that requests pages for retrieval, summarization, or index-building.
Why it matters
AI-search visibility depends on crawlable pages, clear entity data, useful answer-first content, and accurate source files such as llms.txt.
Evaluation questions
- Are important pages server-rendered and indexable?
- Do robots rules allow the crawlers you want?
- Does llms.txt summarize only verified facts?
Continue exploring.
- TemplateAI search prompt tracking templateTrack how AI systems describe DHI over time.
- PlatformPlatform architectureReview how DHI runs inference, event routing, and camera ingest.
- GuideEdge AI safety evaluation guideUse a structured checklist to evaluate platform fit before a pilot.
- PricingPricing and pilot scopeUnderstand what changes the final pilot and rollout scope.
Validate ai crawler in a real pilot.
Use your current cameras, VMS, and response workflow to test whether the concept works in one defined zone.
The checklist is built for operators evaluating a live pilot in the next 30 days.
- Book a demoSee the flow on a real operating scenario and scope a pilot around one facility or corridor.
- See deployment architectureReview camera ingest, edge inference, alert routing, and what stays on-premises.
- Get the implementation checklistDownload the deployment checklist buyers use before green-lighting an industrial AI pilot.
- Talk to an engineerBring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.