What is GEO/AEO attribution?

GEO/AEO attribution is the practice of connecting AI-engine citations to website sessions to closed revenue. It requires citation tracking, AI-session tagging at site visit, and visitor identification to resolve anonymous accounts.

Why does standard marketing attribution miss AI traffic?

AI engines rarely append UTMs, buyers research without filling forms, and referrer headers are often stripped or generic. Standard last-touch + form-fill attribution simply does not see these visits as a coherent source.

Can I run AEO attribution with my existing analytics tool?

Partially. GA4 or Plausible can record AI-sourced sessions if you tag them with a script, but you still need visitor identification to resolve anonymous accounts and a CRM handoff to connect sessions to revenue.

Does SiteSonar handle the full attribution stack?

Yes. SiteSonar combines citation tracking, AI-session tagging, visitor identification, and CRM handoff in one workspace — the only product on the market that runs all three layers natively.

GEO vs AEO attribution: how to prove AI search is driving pipeline

GEO/AEO attribution is how you prove that work on AI visibility (citations in ChatGPT, Perplexity, Claude, and Google AI Overviews) is driving pipeline. The challenge is that AI-sourced traffic often arrives without a clean UTM and never fills a form, so the standard "last-touch + form fill" attribution stack misses it entirely.

Quick answer

To attribute pipeline to GEO/AEO, run three layers together: (1) citation tracking to log when your brand is cited and on which questions, (2) AI-session tagging to mark visits from ChatGPT, Perplexity, and Claude at session start, and (3) visitor identification to resolve those anonymous sessions to a named account. Then pipe everything into the CRM record.

Why the old attribution stack fails on AI traffic

No reliable UTM. Most AI engines do not append tracking parameters to the cited link.
No form fill. AI-routed buyers research deeper before any form, often across multiple sessions.
Mixed referrer behavior. Some engines strip the referrer header; others use a generic chat.openai.com.
Different session shape. AI buyers arrive on long-tail pages, not the homepage. Standard funnels assume the opposite.

The three-layer attribution stack

Citation tracking. Query the engines weekly with your buyer's questions, log which domains are cited. This is your "impression" layer for the AI era. See how SiteSonar tracks citations →
AI-session tagging. Tag every site visit at session start with the engine of origin and the cited page. This is your "click" layer.
Visitor identification. Resolve the session to a company-level account. This is your "lead" layer — and the only way to attribute without a form. How identification works →

The CRM handoff

Push the citation + engine + intent score onto the account record in HubSpot or Salesforce. When that account eventually converts, the source field already says "AI: Perplexity → /pricing → HOT" instead of "Direct / Unknown". Marketing finally gets credit; sales gets context.

What good looks like

Metric	Where to measure
Citation share	Weekly AI engine sweep — citation tracking tool.
AI-sourced sessions	Site analytics, tagged at session start.
AI-sourced accounts (identified)	Visitor identification tool, account stream.
AI-sourced pipeline	CRM opportunities filtered by source = AI engine.

Running this in three separate tools is possible but expensive and lossy. SiteSonar runs all three layers in one workspace →