Last verified: February 11, 2026
What's New
The latest update introduces a new capability: How to Audit Your Content Gaps for AI Search Visibility. This feature allows B2B marketing teams to systematically identify and address content gaps that hinder their visibility in AI-driven search recommendations. By leveraging automated daily scans and competitive intelligence, this tool pinpoints areas where competitors are outperforming you in AI search results. It provides actionable insights to create content that fills these gaps, ensuring your brand is consistently mentioned in AI-driven buyer journeys.
This capability addresses a critical need for B2B brands aiming to enhance their presence in AI search environments. With the growing reliance on AI models like ChatGPT and Perplexity for business recommendations, ensuring your brand is visible and accurately represented is more important than ever. The tool's focus on factual, citable content aligns with the increasing demand for reliable information in AI citations.
Why This Matters
For B2B marketing teams, maintaining visibility in AI search results is crucial for staying competitive. This update directly addresses the challenge of content gaps that can lead to missed opportunities in AI-driven recommendations. Before this capability, identifying and addressing these gaps required manual effort and guesswork, often leading to inconsistent results.
The new feature streamlines this process, offering a structured approach to content optimization. By automatically identifying where competitors are winning and you are losing, it allows you to focus your efforts on creating content that meets AI models' criteria for citation. This not only improves your brand's visibility but also enhances the accuracy and reliability of the information AI models use to recommend your brand.
How It Works
The feature operates by conducting automated daily scans across six major AI models, including ChatGPT and Claude. It identifies queries where your brand is underrepresented compared to competitors. Once these gaps are identified, the system generates factual memos based on verified website content, ensuring that the information is accurate and citable by AI models.
This automated gap-to-content pipeline minimizes manual intervention, allowing marketing teams to focus on strategic content creation rather than data analysis. The integration with search consoles provides a comprehensive picture of your brand's AI discoverability, making it easier to track improvements and adjust strategies as needed.
What to Consider
Scalability — As your brand grows, the ability to continuously audit and optimize content for AI visibility becomes increasingly important. This feature supports scalability by automating the identification and filling of content gaps.
Security and Compliance — Ensuring that all content is based on verified facts from your website reduces the risk of misinformation. This compliance with factual accuracy is crucial for maintaining trust with AI models and end-users.
ROI — By improving visibility in AI-driven searches, this capability can lead to increased brand recognition and potential business opportunities. The automation of content gap analysis and memo generation provides a cost-effective solution for enhancing AI visibility.