"What's the best [product] for [use case]" is now an AI prompt as often as a Google search. Track how your catalog shows up in those answers, and close the gaps with content and schema built to get cited.
Product & category prompt tracking
Schema-ready buying-guide content
Multi-domain support for multi-brand catalogs
Where this pays off
Win "best X for Y" buying-guide prompts
These are exactly the prompts that precede a purchase decision — track them by product line, not just brand name.
Protect a hero product from a competitor swap
If a model starts recommending a competitor's product instead of yours for a top query, you'll see the shift within a day.
Run it across multiple storefronts
Multi-domain support means a multi-brand catalog gets one dashboard instead of one login per brand.
Who uses this, day to day
A single visibility score you can check in thirty seconds, with a trend line that shows whether GEO work is actually paying off.
What are AEO and GEO?
AEO — Answer Engine Optimisation
Structuring content so an AI engine can lift a direct answer from it — a claim near the top, backed by something checkable — instead of writing for a human scanning a search results page.
GEO — Generative Engine Optimisation
The broader discipline of getting cited inside AI-generated answers at all — tracking visibility, closing gaps, and building the citations and schema that earn a mention.
In practice, that means: structuring your site so an AI assistant can confidently recommend you when someone in your category asks for options, and tracking whether it actually does.
See Rankahead in action
A quick walkthrough of how Rankahead tracks your AI visibility and turns the gaps it finds into published content.
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