[{"data":1,"prerenderedAt":26},["ShallowReactive",2],{"blog-post-what-is-share-of-voice-in-ai-search":3},{"success":4,"data":5,"message":25},true,{"post":6},{"slug":7,"title":8,"excerpt":9,"content":10,"category":11,"date":12,"image":13,"imageGradient":14,"citationScore":15,"factDensity":16,"tags":17,"authorBy":21,"reviewedBy":22,"keyFacts":23,"references":24},"what-is-share-of-voice-in-ai-search","What Is Share of Voice in AI Search?","Share of Voice in AI search is the percentage of a brand's mentions in AI-generated answers relative to all tracked brands on the same prompts. Here's how it's calculated and why it matters more than a raw mention count.","**Share of Voice in AI search** is the percentage of a brand's mentions or citations in AI-generated answers relative to the total mentions of all tracked brands (including competitors) across the same set of monitored prompts. It's one of the core metrics used to measure [GEO](/blog/what-is-geo-generative-engine-optimization) performance.\n\nIf a category-relevant prompt is asked 100 times across ChatGPT, Perplexity, and Gemini, and a brand is named in 30 of those responses while its five tracked competitors are named a combined 70 times, that brand holds roughly 30% Share of Voice for that prompt set.\n\n## How it's different from raw visibility\n\nVisibility Score answers \"how often does my brand show up at all?\" Share of Voice answers a sharper competitive question: \"of all the times *any* brand in my category shows up, how much of that attention is mine?\" A brand can have a moderate Visibility Score but a strong Share of Voice if its competitors are being mentioned even less often — or vice versa, a high Visibility Score that still trails competitors badly on Share of Voice if the whole category gets mentioned frequently.\n\n## Why it matters more than a simple mention count\n\nA single number — \"we were mentioned 40 times last month\" — is meaningless without context. Was that a lot or a little? Compared to whom? Share of Voice forces the comparison that actually matters commercially: whether an AI model is more likely to recommend you or the competitor a buyer would otherwise have chosen.\n\n## How Share of Voice is typically calculated\n\n1. Define a prompt library — a set of realistic, category-relevant questions buyers might ask an AI assistant.\n2. Define a competitor set — the specific brands being tracked alongside your own.\n3. Run the prompts across target AI engines on a recurring schedule (daily or weekly).\n4. Count mentions per brand across all responses.\n5. Divide your brand's mentions by total mentions across the whole tracked set.\n\n## A worked example\n\nSpringtex, a manufacturer client tracked by PandaClaws, reached a reported industry-leading 17% AI visibility position, with a Share of Voice roughly 34 times larger than its next-closest tracked competitor in the same prompt set — meaning that when an AI model was asked a manufacturing-sourcing question relevant to Springtex's category, it was overwhelmingly more likely to name Springtex than any single named competitor. See a similar result for a DTC brand in [How Simon Miller Went From an 11% AI Visibility Baseline to 8x the Competitor Average in 90 Days](/blog/case-study-simon-miller-ai-visibility).\n\n## FAQ\n\n**Is a higher Share of Voice always better?**\nGenerally yes, but it should be read alongside sentiment. High Share of Voice paired with negative or inaccurate framing is a different (and more urgent) problem than low visibility.\n\n**How often should Share of Voice be re-measured?**\nMost GEO platforms update it on a rolling weekly basis, since AI model outputs can shift meaningfully as new content gets indexed.\n\n**Does Share of Voice vary by AI engine?**\nYes — a brand can have a very different Share of Voice on ChatGPT versus Perplexity versus Gemini, since each system weighs sources differently. Tracking needs to be done per-engine, not as a single blended number, to be useful. See [PandaClaws vs. Profound](/blog/pandaclaws-vs-profound) for how engine coverage differs across GEO platforms.\n\n---\n\n**Next Steps & Related Strategies:**\n* [What Is GEO (Generative Engine Optimization)? The Complete 2026 Guide](/blog/what-is-geo-generative-engine-optimization)\n* [What Is AEO (Answer Engine Optimization)? How It Differs From GEO and SEO](/blog/what-is-aeo-answer-engine-optimization)\n* [PandaClaws vs. Profound: Which GEO Platform Fits Cross-Border Brands?](/blog/pandaclaws-vs-profound)\n","Glossary","2026-07-15","gradient-17","from-teal-400 via-emerald-400 to-green-400",98,"High",[18,19,11,20],"Share of Voice","AI Search Metrics","GEO Metrics","PandaClaws Editorial Team","Wells Yan","[{\"label\": \"Definition\", \"value\": \"Brand mentions / total tracked mentions\"}, {\"label\": \"Update Frequency\", \"value\": \"Weekly (typical)\"}, {\"label\": \"Example\", \"value\": \"Springtex ~34x nearest competitor\"}, {\"label\": \"Related Metric\", \"value\": \"Visibility Score\"}]","[]",null,1784088363001]