How to track AI search share of voice
AI search share of voice measures how often your brand appears compared with competitors inside AI-generated answers. It should be tracked by prompt, engine, brand mention, citation presence, competitor mentions, and source domain mix.
What is AI share of voice?
AI share of voice is the proportion of target prompts where your brand appears relative to competitors. It can be calculated using mentions, recommendations, citations, or a weighted score that combines all three.
What data do you need?
You need a stable prompt set, repeated engine runs, normalized brand and competitor matching, citation extraction, and a source classification system.
How should it be reported?
Report share of voice by category, engine, prompt type, competitor, source type, and trend over time. Pair the score with fix recommendations so teams know what to do next.
How RankEcho helps
RankEcho measures visibility, competitor loss, citation rate, and source gaps so teams can see both their current AI share of voice and the fix path to improve it.
Frequently asked questions
No. Citation rate measures source citation presence. Share of voice compares brand presence against competitors across prompts.
Enough to represent real buyer intent. A small high-quality prompt set is more useful than a broad noisy list.