AEO Analytics – Put signals and developments into context
A clearer view of crawler activity, mentions, and prioritization
The Problem
Google Analytics shows you traffic from Google.com, but AI search engines like ChatGPT, Claude, and Perplexity don't appear as referrers. You don't know how much traffic comes from AI, which content gets cited, or how AI users convert.
Traditional analytics tools don't distinguish between organic Google traffic and AI-generated traffic. You see "Direct Traffic" or "(none)" but have no idea if it's from ChatGPT, Claude, or manual entries.
Without measurement, you can't optimize. You invest in AEO without knowing if it works, which measures are effective, or what ROI is generated.
The Solution
AEO Analytics brings together technical signals, documented mentions, and prioritized content in one more understandable view.
- Crawler monitoring: keep an eye on unusual or recurring access patterns
- Mention tracking: document visible citations and references
- Referrer context: interpret unusual entries more carefully
- Reporting: make developments visible inside the team
- Export: pass data into your own analysis flow when needed
The aim is a more defensible basis for review and prioritization, without pretending to measure more precision than is actually available.
See it in action
Source
Direct screenshot from the local WordPress test installation with AEO Pro active.
Context
Where only PRO lock states are currently visible, the module is presented as an existing expansion area rather than as a freely usable interface.
Benefits
More transparency on access patterns
Teams can see more clearly which systems revisit content and where patterns begin to shift.
Document mentions
Signals around citations and references can be collected in a more structured way.
Basis for prioritization
The module gives teams a better starting point for deciding which content deserves attention.
Crawler friendliness
Technical or structural friction becomes easier to spot before it turns into a blind spot.
Reporting support
Signals can be summarized more cleanly for internal review or client communication.
Roadmap for deeper analysis
More extensive analysis layers can be added later without overstating the current product surface.
Use Cases
SaaS: Prove AI traffic ROI
A software provider tracks recurring crawler activity, visible mentions, and changes after content updates over a longer period.
E-Commerce: Optimize ChatGPT shopping
An online store uses analytics signals to decide which product areas deserve closer editorial and structural refinement.
Agency: Automate client reporting
An SEO agency uses AEO Analytics for monthly client reports. Instead of manual data collection: automated dashboards with AI traffic, citations, and conversions. Reporting time decreases by 90%, customer satisfaction increases.
Publisher: Optimize content strategy
An online magazine observes which article formats are repeatedly referenced and uses that as input for editorial planning.