Organisations are producing more content than ever, but more output does not automatically create a stronger market position. In an AI-driven information environment, the more important question is whether that content is reinforcing a recognisable narrative — and whether both human audiences and generative systems are interpreting the organisation in the way it intended.

This episode brings together the central ideas from Steve Atkins’ five-part series on Strategic Narrative Engineeringand Narrative Gap Analysis. It examines why traditional KPIs such as impressions, clicks and reach only tell part of the story; how SEO, AEO and GEO are changing the way organisations are discovered and represented; and why semantic mapping, topic clustering, authority signals and retrieval analysis are becoming increasingly important measures of communications effectiveness.

At the centre is a simple proposition: your organisation already has a narrative. The question is whether it is the narrative you intended to create.

Strategic Narrative Engineering provides a way to define that intended position, measure the gap between intention and reality, engineer the information environment to close it, and then measure again.

In an era where AI is making content easier to produce while simultaneously becoming one of the systems interpreting that content, the challenge is no longer simply to publish more. It is to ensure that everything an organisation publishes is helping to build the position it wants to own.