> ## Documentation Index
> Fetch the complete documentation index at: https://docs.useagentshop.com/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Retargeting: Sync AI-Referred Visitors to Ad Audiences

> Sync shoppers who found you through ChatGPT, Gemini, or Perplexity into Meta and Google ad platforms so you can retarget them with paid campaigns.

**AI Retargeting** turns your AI-discovered visitors into an audience you can actually advertise to. The problem it solves: someone finds you through ChatGPT or Gemini, doesn't buy on the first visit, and vanishes — and because that traffic often lands in analytics as "Direct," you can't easily retarget it. This page syncs those AI-referred visitors into **Meta Custom Audiences** and **Google Customer Match**, so you can run retargeting campaigns against the LLM channel and then see what came back.

**Set up retargeting** is the first thing you'll do, and it's a simple three-step connect. **Connect Meta** authorizes agentShop (via AgentPay) to push your AI-discovered visitors into Meta Custom Audiences. **Connect Google** does the same for Google Customer Match, which covers retargeting on Search and YouTube. Once both are authorized, step three flips to **"You're all set"** — audiences start syncing and campaigns can run. You need to connect at least one ad platform for the performance data below to populate.

**The Attribution Funnel** shows the top of that pipeline over your chosen window (7, 14, or 30 days): how many **AI Visitors from LLM** you captured, and how many were **Synced to Ad Audiences**. Until you connect an ad platform, the **Ad Performance** section stays empty — that's the prompt to finish setup, not a bug.

**The Retargeting Journey** is the most interesting part: it tracks how AI-referred visitors move through touchpoints before they buy or drop off, split into three columns.

* **LLM Referral** — the visitors who arrived from AI in the first place, broken down by assistant (ChatGPT, Perplexity, Gemini). This is your starting pool.
* **Came back via** — how those visitors returned: through an **AI assistant again**, **Direct** (no ad spend), **Meta ads**, or **Google ads** (retargeting clicks). It shows what share of AI-referred visitors came back through each path — so you can see whether people are returning on their own or because your retargeting pulled them.
* **Outcome** — the payoff over the window: how many **Closed** (bought, with the share of visitors that converted) versus **Dropped** (no purchase). Note the caveat: closed orders may also show up in Meta's or Google's own reporting, so don't double-count across systems.

Why this page matters strategically: AI-referred shoppers who come *back* convert far better than first-timers, which makes retargeting this segment one of the highest-yield levers you have. But you can only retarget an audience you can reach — and that's exactly what the sync creates. Connect the platforms once, and the Retargeting Journey tells you whether that spend is actually bringing AI shoppers back to close.


## Related topics

- [agentShop Glossary: Key AI Commerce Terms Explained](/user-guide/glossary.md)
- [Screen Reference: Every agentShop Screen at a Glance](/user-guide/screens/overview.md)
- [agentShop Settings: Store, Integrations, and Billing](/user-guide/screens/settings.md)
- [Reports Reference: Every agentShop Report Explained](/user-guide/reports/reference.md)
- [AI crawler visibility](/sdk/crawlers.md)