Share of Voice
See your brand mention rate by AI engine, track competitor mentions, and review sentiment trends, all derived from your stored prompt monitoring results.
Share of Voice shows how often your brand appears in AI responses compared to your competitors, based on the results stored from your prompt monitoring runs over the past 30 days. It is not a live scan of the web or a poll of AI providers. All figures are derived from the prompt results already saved in your account.
What Share of Voice shows
- Brand mention rate by engine: for each engine label (openai, anthropic, google), the share of stored results in which your brand was mentioned
- Competitor matrix: the top competitors mentioned across your stored results, ranked by mention count
- Sentiment trend: a daily chart of average sentiment scores computed from your stored results over the past 30 days
Share of Voice aggregates this account's saved prompt simulations. It does not query live AI systems, poll search engines, or crawl any external sources. The data shown reflects only the prompts you have defined and the results stored for those prompts. Adding more prompts or re-running existing ones updates the figures on the next page load.
How to use it
- Set up at least one prompt on the Prompts page so results can be stored
- In the left sidebar, open AI Discovery and click Share of Voice
- Review the per-engine mention rates to see where your brand appears most frequently across the three engine labels
- Use the competitor matrix to identify which brands appear alongside yours most often in stored responses
- Check the sentiment trend to see whether AI responses mentioning your brand are improving or declining over the 30-day window
Share of Voice follows the same plan gating as Prompt Monitoring. It is available on plans that have a prompt limit greater than zero: the Pro plus AI Discovery add-on (25 prompts), Growth (25 prompts), Scale (100 prompts), Agency (100 prompts), and Enterprise (999 prompts). Free and Pro base plans do not have access.
How this fits the attribution workflow
Revenue Proven connects LinkedIn Ads engagement to CRM revenue at the company level, so B2B teams can prove which campaigns influenced real pipeline and closed-won deals. This part of the product supports that goal by keeping company-level attribution accurate and easy to act on.
It pulls company-level engagement from the LinkedIn Ad Analytics API across five lookback windows (180, 90, 60, 30, and 7 days), matches those companies to HubSpot or Salesforce accounts by domain and name, and surfaces influenced pipeline and influenced revenue alongside a company-by-company journey timeline. Reviewing this regularly helps you spot which campaigns and accounts are driving measurable pipeline, and which are not yet converting engagement into opportunities.
Tips for getting reliable results
Keep your LinkedIn Ads and CRM connections healthy so each sync brings in fresh engagement and deal data. Because B2B buying involves many people and many touches over long sales cycles, Revenue Proven uses multi-touch, company-level attribution rather than last-click, giving credit across the accounts an ad actually reached.
When you compare periods, use the same lookback window on both sides so the numbers are directly comparable, and remember that company-level reporting intentionally focuses on accounts rather than individuals. OAuth tokens are encrypted at rest, data is processed per workspace, and company-level reporting avoids the brittleness of cookie-based, person-level tracking.