Competitive AI Market Share & SOV Analysis

In the context of AI search, Share of Voice (SOV) measures how often your brand is mentioned or cited in AI-generated responses compared to your competitors. As AI platforms provide direct answers in an increasingly zero-click world, your share of voice in these responses has become a critical indicator of your brand’s visibility and influence.

Conductor calculates your market share based on your performance across key topics, tracking two distinct metrics:

• Mention-based SOV: Your share of the conversation and brand presence.
• Citation-based SOV: Your share of the authoritative sources driving AI traffic.

This provides a complete and accurate benchmark of your competitive standing in the new AI landscape.

Why Measuring Share of Voice in AI Search Is Critical

In traditional search, rankings were a proxy for market share. In the new world of AI search, where users often get a single, synthesized answer, your Share of Voice (SOV) is a direct measure of your visibility. If you're not part of the AI-generated response, you are effectively invisible to that user.

Tracking your SOV in AI search allows you to:

• Quantify Your Competitive Position: Move beyond guesswork and get a hard metric on how your brand's visibility stacks up against your key competitors on the topics that matter most.
• Spot Threats and Opportunities: A declining SOV can be an early warning of a growing competitive threat, while an increasing SOV validates your content and AEO strategy.
• Make Data-Driven Decisions: Allocate your marketing resources effectively by focusing on the topics where you have the greatest opportunity to capture market share.

How to Find and Analyze Your AI Market Share with Conductor

The biggest challenge in traditional sentiment analysis is a lack of context. Most tools provide a simple score but can't tell you why the sentiment is negative or positive, often leading to flawed data because they misinterpret nuance or sarcasm.

Conductor solves this with a unique, actionable approach. Instead of only focusing on an arbitrary "good score," we empower you to focus on impact. Our analysis uniquely ties sentiment directly to the cited sources within an AI response. If sentiment is negative, you can instantly see the specific article, review, or page the AI is referencing. This gives you the actionable intelligence needed to address the root cause—whether it's reaching out to a publisher to request a correction or updating your own content to better inform the AI models.

Our platform provides a complete picture by analyzing market share at the topic level, allowing you to:

• Analyze Both Mentions and Citations: Measure market share through two distinct lenses: Mention-based SOV to see who is dominating the conversation, and Citation-based SOV to see who is the recognized authority.
• Track Market Share Trends Over Time: Track how the market share of top websites, based on their mentions or citations, changes over time. This highlights critical shifts in competitive visibility.
• Drill Down into the Details: Move from a high-level chart to a detailed competitive table with a single click. See not just the market share percentage, but also the raw number of prompts driving visibility, the change period-over-period, and the specific topics where each competitor is being mentioned.