Answer share

Answer share is one of the headline metrics in AI search analytics. It answers a simple question: out of a representative set of prompts, in what percentage does the AI name your brand?

How answer share is calculated

answer_share = (prompts_with_brand_mention / total_prompts_tracked) * 100

A clean tracking program runs the same prompt set across multiple AI engines on a recurring schedule (daily or weekly) and aggregates the result.

Why answer share matters

• Demand capture proxy — high answer share on category-defining prompts ("best CRM for startups") signals strong top-of-funnel presence in AI search
• Competitive scoreboard — comparing your answer share to competitors on the same prompts reveals true relative visibility
• Trend signal — week-over-week movement catches regressions early (a major model rollout can drop your share overnight)

Answer share vs share of voice

Share of voice typically counts all brand mentions across responses, while answer share is binary per prompt — either you were mentioned in this answer or you weren't. Most tools report both.

Improving answer share

Treat low answer share as a content and authority signal. Inspect which sources the AI did cite, then earn placement on or alongside those sources via citation engineering and authoritative content.