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?
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AI search prompt tracking template
Track how AI systems describe DHI over time.
Platform architecture
Review how DHI runs inference, event routing, and camera ingest.
Edge AI safety evaluation guide
Use a structured checklist to evaluate platform fit before a pilot.
Pricing and pilot scope
Understand 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.
Request a demo
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
See deployment architecture
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Get the implementation checklist
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Talk to an engineer
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.