Connect your analytics stack and your server logs to see the humans AI answers send you and the AI agents reading your site, then report both where executives already look.
Referral sessions, agent visits, and the visibility behind them land in your dashboards, your assistant, and your warehouse.
BI Dashboards
Leadership reads the dashboard it always reads, so that is where the AI channel has to show up. The Looker Studio connector puts AI referral and visibility metrics next to paid and organic in that report, Power BI gets the same metrics, and nobody assembles CSVs the night before the review.
MCP Server
When a stakeholder asks how ChatGPT referrals trended last month, the analyst asks their AI assistant and gets numbers from the live account over MCP. No ticket, no export, and the figure matches the dashboards because it comes from the same data.
API Access
Attribution models only respect channels that arrive as clean rows. The REST API and CSV output feed your warehouse loaders on schedule, and webhooks plus the Zapier, Make, and n8n connectors push changes as they happen, so AI traffic gets modeled with the same rigor as paid spend.
Human referrals, agent visits, and executive reporting from one data set.
Track the sessions arriving from ChatGPT, Perplexity, and Gemini referrals, next to the visibility that produced them.
Ingest logs from Cloudflare, Vercel, Fastly, Netlify, Akamai, AWS CloudFront, or nginx to see which AI crawlers and agents visit which pages.
Native integrations for GA4, Adobe Analytics, Plausible, Piano, and PostHog bring your traffic data next to your visibility data.
Looker Studio and Power BI connectors feed AI traffic into the dashboards your leadership already reads.
The traffic line and the visibility line sit in one view, so you can explain a referral spike with the answers that caused it.
REST API, MCP, CLI, CSV and Excel exports, webhooks, and Zapier, Make, and n8n keep your warehouse and workflows fed.
Four steps from scattered referrer rows to an executive-ready ROI report.
Link GA4, Adobe Analytics, Plausible, Piano, or PostHog to pull AI referral sessions into one view.
Point Agent Analytics at your CDN or server logs to capture every AI crawler and agent visit.
Compare referral and agent trends with your mentions and citations to see what drives visits.
Push the numbers to Looker Studio or Power BI, or pull them by API into your warehouse.
From budget defense to warehouse pipelines.
Show finance the sessions AI answers deliver, in the reporting format they already expect.
Separate real AI referral visitors from agent fetches so nobody reports inflated numbers.
See which pages AI crawlers fetch most, an early signal for where answers may change next.
Pull everything by API or webhooks into your warehouse and model AI traffic alongside paid and organic.
"After noticing rising visits from various LLMs in GA4, we needed visibility into those black boxes. LLM Pulse gave us the clarity to understand our brand's evolution and shape new strategies to boost our exposure."
Common questions about measuring AI referral traffic and agent activity.
How AI crawler and agent visits are extracted from CDN and server logs, and what to do with them.
Read moreConnecting GA4, Adobe Analytics, Plausible, Piano, and PostHog to your visibility data.
Read moreBuilding AI search reports in the dashboards your stakeholders already use.
Read moreConnect your analytics and logs, and get your first AI traffic report this week. Trials run 14 days.
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