What is AI Search Share of Voice?
AI search share of voice measures competitive presence inside AI answers—not blue-link rankings. Pair with LLM visibility and GEO marketing reporting.
What is AI search share of voice?
Direct answer
AI search share of voice is your brand's share of mentions or citations across a fixed library of buyer prompts, compared to competitors cited in the same AI-generated answers.
Frameworks from Nightwatch and Alex Birkett treat AI SOV as a leading indicator of category mindshare—not a replacement for revenue metrics.
How do you calculate AI share of voice?
Direct answer
AI SOV = (your brand mentions ÷ total brand mentions in the prompt set) × 100. Count one mention per prompt per engine unless you use multi-sampling for stability.
Example: 50 prompts × 3 engines = 150 runs. Your brand appears 30 times; all brands appear 120 times. SOV = 30 ÷ 120 = 25%.
See also Awilix's LLM share of voice guide.
What benchmarks should you use?
Direct answer
Many practitioners use 15%+ SOV as strong positioning in core categories; enterprise leaders in niches may reach 25–30%. Below 10% usually means competitors own the AI narrative.
| SOV range | Typical interpretation |
|---|---|
| < 10% | Competitors dominate; urgent content gap |
| 10–15% | Present but not default recommendation |
| 15–25% | Strong category player |
| 25%+ | Leader in tracked prompt set |
How do you measure manually vs with tools?
Direct answer
Manual: spreadsheet + 30–100 prompts run monthly on ChatGPT, Perplexity, and Gemini. Tools: automate prompt runs and sentiment—see AEO tools and best GEO tools.
Baseline technical readiness with GEO score checker before scaling paid monitoring.
What are the limitations of AI share of voice?
Direct answer
Answers are probabilistic—the same prompt can yield different citations. SOV is only as good as your prompt library reflects real buyer language. Always trend over 60–90 days, not single runs.
Frequently asked questions
What is AI search share of voice?
AI search share of voice is the percentage of AI-generated answers in your tracked prompt set that mention or cite your brand versus all brands mentioned.
How do you calculate AI share of voice?
AI SOV = (your brand mentions ÷ total brand mentions across tracked prompts) × 100. Run the same prompts monthly on ChatGPT, Perplexity, Gemini, and Google AI surfaces.
What is a good AI share of voice benchmark?
Rough guides: 15%+ is strong in a category; 25–30% for leaders in niche verticals; below 10% means competitors dominate AI answers.
How is it different from SEO share of voice?
SEO SOV uses rankings and impressions. AI SOV uses citation frequency inside synthesized answers where users may never click.
Why does AI share of voice matter?
It tracks competitive preference in zero-click journeys and predicts branded search lift when AI repeatedly names your product.