Last verified: February 11, 2026
What's New
The latest update introduces Query Fan-Out, a significant enhancement aimed at improving AI visibility for B2B marketing teams. This capability allows for the distribution of a single query across multiple AI models, enabling comprehensive visibility tracking. By leveraging Query Fan-Out, marketing teams can now gain insights into how their brand is perceived across various AI platforms simultaneously. This addresses the challenge of fragmented visibility in AI-driven environments, ensuring that brands are consistently recognized and recommended by AI assistants.
Query Fan-Out solves a critical problem: the lack of unified visibility across diverse AI models. Previously, brands had to manually track their presence on each platform, a time-consuming and often incomplete process. With this update, the process is automated, providing a holistic view of brand visibility and enabling more strategic decision-making.
Why This Matters
For B2B marketing teams, maintaining visibility in AI-driven buyer journeys is crucial. Query Fan-Out enhances this by offering a streamlined approach to tracking brand presence across multiple AI models. This update addresses the pain point of inconsistent brand recognition, which can lead to missed opportunities in AI recommendations.
Before this capability, marketing teams faced the challenge of manually aggregating data from different AI platforms, often resulting in incomplete insights. Query Fan-Out automates this process, ensuring that brands have a comprehensive understanding of their AI visibility. This allows for more informed strategic planning and resource allocation, ultimately improving ROI and competitive positioning.
How It Works
Query Fan-Out operates by distributing a single query to multiple AI models, such as ChatGPT, Claude, Perplexity, and others. This simultaneous querying provides a unified view of how a brand is represented across different platforms. The results are then compiled into actionable insights, allowing marketing teams to identify gaps and optimize their strategies effectively.
This approach leverages the platform's existing capabilities, such as automated daily scans and competitive intelligence, to provide a seamless integration into existing workflows. By automating the data collection and analysis process, Query Fan-Out reduces manual effort and enhances the accuracy of visibility tracking.
What to Consider
Scalability — Consider how Query Fan-Out can scale with your brand's growth. As your brand expands, this capability ensures consistent visibility across multiple AI models without additional manual effort.
Security and Compliance — Evaluate the security measures in place to protect your data during the querying process. Ensure that the platform complies with industry standards and regulations to safeguard sensitive information.
ROI and Resource Allocation — Assess the potential return on investment by analyzing how Query Fan-Out can optimize your marketing strategies. Consider the time and resources saved through automated visibility tracking and how these can be redirected to other strategic initiatives.
Sources
- AI in B2B Marketing: Trends and Insights
- The Importance of AI Visibility in Modern Marketing
- How AI is Transforming B2B Marketing
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