> This page is for Product.

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.feedonomics.com/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.feedonomics.com/_mcp/server.

# Traffic report

> The Site Traffic report — sessions, orders, and revenue by channel from your BigCommerce storefront traffic, including the AI/LLM channel. Available to BigCommerce merchants.

The Traffic report shows what's happening on your storefront: where sessions come from, what they're worth, and how each channel converts.

> **Availability**
>
> This report is available to **BigCommerce merchants**. Its data source is your **BigCommerce storefront traffic** — if your storefront isn't on BigCommerce, you won't see this report, and paid media reporting is where your performance data lives.

## How it works

Traffic data comes directly from your BigCommerce storefront. Once your store is connected during [Analytics onboarding](/product/analytics/onboarding), sessions are collected and attributed to channels — no tagging setup is required for the report itself, though [UTM parameters on your feed URLs](/product/enrichment/reports) are what make enriched-product segmentation possible.

## What the report shows

**Traffic Trend** charts your selected metric over time against the comparison period — switch between sessions, product views, orders, and revenue.

**Traffic Channels** breaks sessions down by channel:

* Direct
* Paid Search
* Organic Search
* Organic Social
* Referral
* Email
* **AI / LLM** — traffic arriving from AI assistants and answer engines, separated into its own channel so your human referral numbers stay clean
* Unknown / None

Each channel row shows sessions, page views, average duration, orders, revenue, conversion rate, revenue per visit, and average order value — so you can compare channels on outcome, not just volume.

## Filters

The channel table filters by **UTM source**, **UTM medium**, **UTM campaign**, and **page type**. Filtering by the UTM you put on your feed product URLs is how you isolate specific segments — for example, enriched products, a campaign, or a single referral source.

## The AI/LLM channel

Worth singling out: sessions that arrive from AI assistants get their own channel rather than being folded into referral traffic. As shoppers increasingly start at ChatGPT or Perplexity instead of a search engine, this is where you see that behavior reaching your store — and drilling into landing pages shows what those visitors do next.