Which Akamai product do I need?

DataStream 2 on the property you want to track. You configure a stream with a Custom HTTPS destination pointing at your LLM Pulse ingest endpoint.

What format do the logs need to be in?

JSON. Select the JSON log format when creating the stream and include the timestamp, user agent and URL fields so AI bots can be identified and attributed correctly.

Does this affect my Akamai delivery configuration?

No. DataStream is an observability feature that runs alongside delivery. Your caching, routing and security rules are untouched.

Which plans include the Akamai integration?

Agent Analytics is included on Scale and Enterprise plans, with per-URL drilldown on Enterprise.

Agent Analytics Integration

Stream AI bot traffic from Akamai with DataStream 2

Send Akamai DataStream 2 request logs to your LLM Pulse ingest endpoint and see exactly which AI agents reach your properties, at the scale only Akamai sees.

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Features

Enterprise edge logs, AI agent clarity

Akamai serves your traffic at the edge and records every request. DataStream 2 forwards them to LLM Pulse for AI bot identification.

Native DataStream 2 support

Use the Custom HTTPS destination with JSON log format and paste your LLM Pulse ingest endpoint. No middleware, no log storage to manage.

Full AI bot catalog

GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, Google-Extended, Bytespider, Amazonbot and dozens more, identified per request and grouped by company and category.

Built for enterprise traffic volumes

DataStream batches and streams logs continuously, and LLM Pulse aggregates them into daily metrics, so dashboards stay fast no matter how much traffic your properties handle.

Secret ingest URL with rotation

Your ingest endpoint carries a unique token. Rotate it whenever policy requires, with a 48-hour grace window for the previous URL.

How the Akamai integration works

Configure a stream once, then let it run.

1

Generate your ingest endpoint

From Agent Analytics, choose Akamai DataStream and generate your unique ingest endpoint URL.
2

Create the DataStream

In Akamai, create a DataStream 2 stream for your property, choose Custom HTTPS as the destination, select JSON log format, and paste the endpoint URL.
3

Activate and monitor

Once the stream activates, requests flow in continuously and AI bot totals, trends and company breakdowns build up in your dashboard.

"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."

Victor Hernández

Casa Batlló

Frequently Asked Questions

Common questions about the Akamai DataStream integration for Agent Analytics.

: DataStream 2 on the property you want to track. You configure a stream with a Custom HTTPS destination pointing at your LLM Pulse ingest endpoint.
: JSON. Select the JSON log format when creating the stream and include the timestamp, user agent and URL fields so AI bots can be identified and attributed correctly.
: No. DataStream is an observability feature that runs alongside delivery. Your caching, routing and security rules are untouched.
: Agent Analytics is included on Scale and Enterprise plans, with per-URL drilldown on Enterprise.

Bring Akamai-scale visibility to AI agents

Point DataStream 2 at LLM Pulse and know every AI bot on your properties. Live on Scale and Enterprise plans.