Cluster 4 · Measurement

4.6 Position and depth in the answer

Presence in an AI answer is not enough. Where you are mentioned — and how extensively — determines what that mention is actually worth for your brand. This page goes deeper into two dimensions that complement Share of Voice and Narrative Share: position and depth.

Position in the answer

What sits at the front of an answer usually gets the most attention — how strong that effect is depends on interface, list form and answer length. A brand mentioned first in a comparison is weighed differently than a brand that comes fourth or fifth. And a brand appearing in the introduction of an answer has more impact than a brand only surfacing in a footnote or qualifying paragraph.

How do you measure position?

For each mention in your measurement data: note where you are mentioned in the answer. Be specific about it.

The pattern across dozens of prompts gives you a picture of where your brand lands in answers. Position is an outcome, not a look inside the model: order can also stem from source order, list format or chance. But a consistent pattern across many prompts you take seriously — front as a strength, back as a starting point for investigation. As a diagnosis on its own, position is too thin.

Depth of the mention

Depth is about how rich the description accompanying your brand is. Narrative Share (sub-page 4.5) breaks this into four levels. This page looks at what determines the quality within an extensive mention.

The four dimensions of depth quality

Specificity

Does the description contain concrete, distinguishing properties? “Fyrco operates predominantly B2B in Flanders and Brussels, offers its own customer portal and is Apragaz-certified for fire extinguishers” is specific. “Fyrco is a Belgian fire safety company” is generic. Specificity makes you recognisable, genericness makes you interchangeable.

Pros and cons

Are concrete strengths or weaknesses also mentioned? A balanced presentation with both creates a credible picture — and gives AI systems more handles to recommend you in fitting situations.

Context and examples

Is your brand positioned within a concrete user situation? “For self-employed professionals looking for a simple business account” is contextual. “A good bank” is not.

Language strength

Are you described with strong, unequivocal language, or with hesitant, qualifying phrases? “Fyrco is an established Apragaz-certified installer in Flanders and Brussels” is strong. “Fyrco is reportedly active in fire safety” is weak. Language strength influences how users weigh the mention.

How do you interpret position and depth together?

A brand that consistently appears front-positioned with specific, strongly-worded mentions is strategically dominant. A brand that appears front-positioned but with generic language is present but not differentiated. A brand that appears back-positioned with extensive descriptions is niche-worthy but not top-of-mind. The combination of both dimensions gives the sharpest picture.

What can you do about it?

verification
documented
Nothing — position effects are not platform-documented.
own measurement
Position and depth patterns across prompts come from our own monitoring.
not verifiable
Whether order reflects preference, or source order, list format or chance.