How do I measure my brand's share of voice in AI-generated answers?
Prerequisites
- Access to an AI visibility monitoring tool (such as EdenRank, Profound, Otterly, Peec, AthenaHQ, or Ahrefs Brand Radar)
- A list of your brand name, key product names, and top competitor brand names
- Defined time period for measurement (weekly or monthly recommended)
- List of AI answer engines you want to track
Step 1: Define your competitor set and keywords
List your direct competitors and the queries where you want to measure visibility. Focus on questions your target audience asks AI assistants about your industry. Include your brand name, product names, and competitor names as search terms.
Step 2: Set up monitoring across AI answer engines
Configure your monitoring tool to query ChatGPT, Perplexity, Gemini, and Google AI Overviews with your defined keywords. EdenRank measures both whether a brand is mentioned and whether it is cited across these platforms. Ensure the tool captures the full AI-generated response text for each query.
Step 3: Collect mention and citation data
Run your monitoring tool on a regular schedule. For each query, record which brands appear in the AI answer and whether they are cited with a source link. EdenRank distinguishes between a brand being mentioned in the answer text versus being cited as a source, which gives you two separate metrics.
Step 4: Calculate your share of voice
For each time period, count total brand mentions across all tracked queries. Divide your brand's mention count by the total mentions of all tracked brands. Multiply by 100 to get your percentage. Repeat this calculation for citations separately if you want to measure source credibility, not just visibility.
Common mistakes
- Only tracking one AI engine. Different engines produce different answers, so limiting to ChatGPT alone gives an incomplete picture.
- Confusing mentions with citations. A brand can be mentioned without being cited as a source, which means lower authority in the AI's answer.
- Not updating your competitor list quarterly. New brands enter AI answers as models update their training data.
- Measuring too infrequently. AI answer engines update their models and knowledge bases regularly, so monthly checks can miss significant changes.
FAQ
How often should I measure AI share of voice? Weekly measurement is recommended for active monitoring, with monthly reporting for trend analysis. AI answer engines update their models periodically, and your share can shift after each update.
What is the difference between a mention and a citation in AI answers? A mention means the AI answer engine included your brand name in its response text. A citation means the AI provided a source link or reference attributing information to your brand. Citations carry more weight for authority and traffic potential.
Can I measure AI share of voice manually without software? You can manually query AI engines and count mentions, but this is impractical at scale. Manual measurement works for 5-10 queries across one engine but becomes unreliable across multiple engines, competitors, and regular intervals.
Does AI share of voice correlate with traditional search share of voice? Not directly. AI answer engines may favor different sources than traditional search engines. A brand with high organic search visibility may have low AI visibility, and vice versa, because AI models select sources differently.