Answer Engine Optimisation is the practice of shaping how a business appears inside the direct answer an AI engine returns to a question.
Answer Engine Optimisation is the practice of shaping how a business appears inside the direct answer an AI engine returns. It focuses on the answer surface itself, the few sentences a user actually reads, rather than the page behind it. AEO is a near-synonym for GEO, with a tighter focus on what the engine says in reply.
An answer engine replaces a list of links with a single response. The user reads a short, composed reply and often acts on it without looking further. If a business is not in that reply, it is effectively invisible for that question.
This raises the stakes on a small amount of text. The handful of sentences an engine produces decides whether a business is named, how it is described and which competitor sits next to it. AEO is the work of earning a fair place in those sentences.
The answer surface is also changing fast. Google retired FAQ rich results from its search results in May 2026, a reminder that the formats engines reward shift, and that optimising for the answer means tracking those shifts.
K&C treats AEO as the answer-focused part of Generative Engine Optimisation. Within an AI Visibility Strategy, we look closely at what each engine actually says, not just whether a business is present.
The Narrative Fit dimension of the AI Visibility Score is where most AEO work shows up. It asks whether the answer describes the business in the terms it wants, with the right emphasis and the right framing.
Because each engine composes answers differently, we measure the answer surface across the three engines and tune for each. You can explore the wider approach on the methodology page.
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