seo-ai-search-share-of-voice

AI search share of voice is measured by pulling the AIO leaderboard across major engines and sampling prompts where your domain appears as a source versus competitors. This analysis quantifies your visibility and generates a structured report with heatmaps and topic clusters.

Prompt sampling validates brand mentions by querying specific prompts across AI engines to surface where your domain is cited as a source. This process checks actual AI search responses to confirm visibility claims and identify which queries trigger your brand appearance.

Topic clustering for AI search visibility groups related prompts where your domain and competitors appear as sources, revealing ownership of specific subject areas. This clustering identifies topic gaps where competitors are cited but your domain is absent, highlighting actionable content opportunities.

Yes, you need integration with the SE Ranking MCP server to benchmark LLM visibility. Access to target and competitor domains is required to pull leaderboard data, sample prompts, and generate structured reports with heatmaps and cluster analysis.

The best way to identify gaps in topic ownership is analyzing topic clusters from sampled prompts across major AI engines. By comparing clusters where competitors are cited against your domain's presence, you can pinpoint missing topics and generate actionable content recommendations.

Yes, you can track AI search share of voice across multiple engines simultaneously by pulling the AIO leaderboard for your target and competitor domains. The analysis summarizes leadership metrics, cited prompts, and topic clusters into a single structured report.