$ man geo/ai-search-share-of-voice

In traditional SEO, share of voice measures what percentage of search results for your target keywords feature your brand. In AI search, share of voice measures how often AI engines mention or cite your brand when answering queries in your topic area. The concept is the same - it is a competitive visibility metric - but the measurement is fundamentally different because AI engines generate unique answers for every query rather than returning a static list of results. Your AI share of voice is not a single number across all queries. It varies by topic, by AI engine, and by query type. You might have 40 percent share of voice on Perplexity for queries about Clay enrichment but zero percent on ChatGPT for the same queries. Understanding these variations tells you where your GEO efforts are working and where they need attention.

FORMULA

Here is the methodology for measuring AI share of voice. Step one: define your query set. List 30 to 50 queries that your target audience asks about your topic area. Include a mix of informational queries (what is X), comparison queries (X vs Y), and recommendation queries (best tool for Z). Step two: run each query on each AI engine - ChatGPT, Perplexity, Google AI Overviews, and Gemini. Step three: for each response, record whether your brand was mentioned, whether it was cited with a link, what position the mention appeared (first source, secondary source, passing mention), and which competitors were also cited. Step four: calculate your share of voice as the percentage of queries where your brand was cited out of the total queries tested. Calculate per engine and overall. Step five: repeat monthly to track trends. The formula is straightforward: AI Share of Voice equals your citations divided by total query set size, multiplied by 100. Track this as a time series to see whether your GEO efforts are increasing your visibility.

PATTERN

Each AI engine has different citation behaviors that affect your share of voice measurement. Perplexity is the most citation-heavy - it almost always cites sources with numbered footnotes and links. This makes it the easiest engine to measure share of voice on and the best engine for driving referral traffic. ChatGPT with browsing cites selectively - it includes sources when it performs web searches but not when answering from training knowledge. Your share of voice on ChatGPT depends on whether the query triggers a web search. Google AI Overviews cite with source cards that show site name, favicon, and page title. These are prominent but limited to three to five sources per overview. Gemini cites occasionally and inconsistently - it is the hardest to measure reliably. Focus your share of voice measurement on Perplexity and Google AI Overviews first because they are the most consistent citers and the easiest to track. Add ChatGPT and Gemini as supplementary measurements once your primary tracking is established.

PRO TIP

Share of voice is most valuable as a competitive metric. Do not just track your own citations - track who else gets cited for the same queries. Build a competitive citation matrix: your query set on one axis, your competitors on the other, with citation frequency in each cell. This reveals which competitors dominate which query clusters, where no one has strong authority (opportunity gaps), and where you are losing citations you should be winning. The actionable insight comes from analyzing why a competitor gets cited over you. Check their content: is it more specific? More recent? Better structured? Does their page have schema markup that yours lacks? Is their entity authority stronger for that subtopic? Each competitive loss is a diagnostic opportunity. Fix the specific gaps and monitor whether your share of voice improves in the next measurement cycle.