Enhancing Competitor Research with Citation Enrichment

Last verified: February 12, 2026

What's New

The latest update introduces Citation Enrichment via Sonar, a feature designed to enhance competitor research by providing enriched citations for each competitor. This capability allows B2B marketing teams to gain deeper insights into how competitors are being referenced across AI-driven environments. By offering detailed citation data, users can better understand the competitive landscape and adjust their strategies accordingly.

This enhancement addresses a critical need for more comprehensive competitive intelligence. Previously, marketing teams had to rely on fragmented data sources, often leading to incomplete or skewed insights. With Citation Enrichment, users receive a more holistic view, enabling them to make informed decisions about positioning and content strategies.

Why This Matters

For B2B marketing teams, understanding how competitors are perceived and referenced in AI-driven search environments is crucial. This update directly improves the workflow by providing a centralized source of enriched competitor citations, reducing the time spent on manual research and data aggregation. It addresses the pain point of incomplete competitive intelligence, which can lead to missed opportunities or misguided strategies.

Before this capability, teams often relied on disparate tools and manual processes to gather competitor data, which was both time-consuming and prone to error. Citation Enrichment streamlines this process, offering a reliable and efficient way to track competitor visibility and influence in AI recommendations. This is particularly significant in an industry where visibility can directly impact market share and brand perception.

How It Works

The Citation Enrichment feature leverages the Sonar tool to scan and analyze competitor mentions across multiple AI platforms. By aggregating citation data, it provides users with a comprehensive view of how competitors are being referenced. This data is then presented in an easily digestible format, allowing marketing teams to quickly assess and respond to competitive threats.

The architecture behind this feature ensures that all data is sourced from verified references, maintaining the integrity and reliability of the insights provided. This approach aligns with the broader mission of providing fact-based content that AI models can trust and cite.

What to Consider

Data Accuracy — Ensure that the citation data aligns with your strategic goals. Accurate data is crucial for making informed decisions about positioning and content development.
Integration with Existing Tools — Consider how this feature will fit into your current workflow. Evaluate whether it complements your existing tools and processes for competitive intelligence.
Scalability — Assess whether the feature can scale with your growing needs. As your market presence expands, the ability to handle increased data volume and complexity becomes essential.

Sources

Gartner: The Importance of Competitive Intelligence in B2B Marketing
Forrester: How AI is Transforming B2B Marketing
Harvard Business Review: The Role of AI in Competitive Strategy