# AI Share of Voice

> Free AI share-of-voice scan: see how often AI answer engines cite you vs your competitors across a set of keywords, with gap keywords you're losing. Honest about measured vs estimated signals.

AI share of voice measures how often AI answer engines — Perplexity, Google AI Overviews, ChatGPT — cite your domain vs competitors for a keyword set. Guidance here is source-grounded and labels measured (direct) vs estimated (proxy) signals rather than overstating precision.

## Tools

- [AI Share-of-Voice Scan](https://aishareofvoice.io/scan): Free scan: domain + competitors + keywords -> share-of-voice %, gap keywords, winners.

## Guide

- [AI Share of Voice: The Complete Guide to Measuring Your Visibility in AI Answers](https://aishareofvoice.io/ai-share-of-voice): What AI share of voice is, how to measure it across answer engines, why measured vs estimated signals matter, and how to use it to find the keywords competitors are winning.

## Articles

- [How to Measure AI Share of Voice (Measured vs Estimated Signals)](https://aishareofvoice.io/how-to-measure-ai-share-of-voice): A practical, honest method for measuring AI share of voice: choosing keywords and competitors, querying engines, and why labeling measured vs estimated signals is non-negotiable.
- [AI Share of Voice vs Traditional Share of Voice: What Actually Changed](https://aishareofvoice.io/ai-share-of-voice-vs-traditional): How AI share of voice differs from the classic SEO/advertising share-of-voice metric — the surface, the unit of measurement, the data sources, and what carries over.
- [How to Improve Your AI Share of Voice: A Gap-Driven Playbook](https://aishareofvoice.io/improve-ai-share-of-voice): A practical playbook for raising AI share of voice — start from gap keywords, build better source-grounded answers, fix access and rendering, and re-measure honestly.