Agent Analytics Integration
Forward Google Cloud Load Balancer logs through Cloud Logging and Pub/Sub to LLM Pulse, and see every AI agent that reaches your infrastructure.
Features
Your load balancer fronts everything you run on GCP. Its logs are the most complete record of AI agent demand on your stack.
A log sink filters load balancer entries into a Pub/Sub topic, and a push subscription delivers them to your LLM Pulse ingest endpoint. All managed GCP primitives, no servers.
GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended, Bytespider, Amazonbot and the rest of our catalog, classified by company and category.
GKE, Cloud Run, GCE backends, static buckets. If it sits behind your load balancer, its AI bot traffic is captured.
The push subscription targets a unique secret URL that you can rotate at any time, with a 48-hour grace period for the previous one.
Standard GCP plumbing, configured once.
From Agent Analytics, choose GCP Load Balancer and generate your unique ingest endpoint URL.
In Cloud Logging, create a sink that filters your load balancer logs into a Pub/Sub topic.
Create a push subscription on that topic with your LLM Pulse endpoint URL as the push target. Logs start flowing immediately and the dashboard fills within minutes.
"After noticing rising visits from various LLMs in GA4, we needed visibility into those black boxes: which models were mentioning us, in which answers, and how that was changing over time. LLM Pulse gave us the clarity to understand our brand's evolution across AI models and to shape new strategies to boost our exposure."
Common questions about the GCP Load Balancer integration for Agent Analytics.
Sink, topic, subscription, dashboard. Live on Scale and Enterprise plans.
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