Turn AI answers into an inbound funnel.
Your buyers now ask ChatGPT, Claude, Perplexity, and Gemini who to use, and each names a short list. Radar measures whether you make it, then Operator publishes the content that gets you cited, so qualified buyers arrive already sold.
ChatGPT
Claude
Perplexity
Gemini
Google AI OverviewsIf you're not in the answer, you never enter the funnel.
Buyers used to search, compare, and click. Now many ask an AI assistant for a recommendation and act on the short list it returns. When the engine names a few products and you are not one of them, you are not losing the deal later, you never enter the funnel at all. The decision happens inside an answer you cannot see, drawn from sources you never chose.
Built for how you actually sell.
Measure whether you're recommended
Radar runs the questions your buyers actually ask across every engine, weekly, and reports whether you are named, who gets cited instead, and which way it is moving.
Publish content engines cite
Operator drafts evidence-grounded posts on your own domain, every claim tied to a real source and shipped with the structured data AI engines read when they decide what to cite.
Earn the sources answers pull from
Engines lean on a handful of third-party sources per category. Operator targets the ones already cited in your space, so the answer starts naming you where it counts.
Buyers arrive pre-sold
Someone who reaches you after an AI named you as a fit is not cold. They asked, an engine vouched for you, and they came on their own, which is inbound at the very top of the funnel.
Qualified demand that shows up already convinced.
Instead of chasing buyers who never heard of you, you get people who asked an AI what to use, saw you recommended, and came to you on their own. The answer surface becomes a channel you actually work, not a black box you hope breaks your way.
The details, answered.
What is AEO, and how is it a funnel?
Answer engine optimization (AEO, sometimes called GEO) is the work of getting your product named and cited when buyers ask an AI assistant for a recommendation. It is a funnel because that answer is now the top of it: a buyer asks, the engine returns a short list, and the products on it get the click, the trust, and the conversation. If you are in the answer, qualified demand flows to you. If you are not, that demand never reaches you at all.
How do I know buyers are asking AI instead of searching?
You can see it in your own funnel: prospects arrive already knowing your category and its shortlist, referencing options they never got from a search result. Radar makes it concrete by running the real questions buyers ask in your category across every engine and showing whether you are named. So rather than guess at the shift, you measure your exact position in the answers buyers are getting today.
Isn't this just SEO?
It complements SEO rather than replacing it. Engines still lean on search indexes and the pages they cite, so crawlable pages, structured data, and content that earns citations serve both. What changes is where the decision happens. The buyer now acts on an answer, not a page of ten blue links, so the answer surface needs deliberate attention instead of being a side effect you never measure.
Do I have to write the content myself?
No. When Radar finds a gap, Operator drafts an evidence-grounded post for a managed blog on your own domain, with every claim tied to a real source and structured data engines read. Nothing publishes without you: every post is approval-gated and editable before it goes live, so the content is built to be cited, not just to exist.
Which engines does this cover?
ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, each measured on its own. That separation matters because the engines cite largely different sources, so being recommended in one says little about the others. Radar also tracks being named separately from being the page an answer links to, since those are different wins that take different work.
How long until buyers start arriving from AI answers?
First movement usually shows up in days to weeks, as crawler fixes and fresh grounded content get picked up and Radar's weekly runs catch the shift. The compounding gains come after, as published posts accumulate citations and your presence in the sources engines lean on deepens. Because the measurement is honest, you see exactly what moved and when, not a vanity chart.