AI Search Console

AI Search Console is designed for SEO and GEO teams who need to understand and measure their brand's visibility within AI search engines. It provides a repeatable and data-driven approach to replace manual checks, offering insights into how a brand appears across various AI platforms. The problem AI Search Console addresses stems from the growing importance of AI-generated content and the difficulty in tracking a brand's presence within it. Traditional SEO metrics do not fully capture visibility in AI search, where answers can be influenced by a wide range of sources beyond standard web rankings. Manual checks are time-consuming, inconsistent, and often fail to provide a comprehensive view of a brand's share of voice or the factors influencing AI responses. Key features include prompt-level analysis, allowing users to see how their brand performs for specific queries across different AI models such as ChatGPT, Claude, Gemini, and Perplexity. The tool tracks brand mentions and rankings, providing a clear picture of visibility. It also offers multi-model share of voice analysis, enabling teams to compare their presence against competitors across various AI platforms. Furthermore, AI Search Console identifies competitor visibility and content gaps, highlighting areas where competitors may be outperforming. A crucial capability is the analysis of cited sources, revealing which domains and pages are being used by AI models to generate answers. This helps users understand the ecosystem influencing AI responses and identify opportunities for content inclusion. The platform also tracks the specific prompts where a brand appears and where it is missing, offering granular insights into AI search performance. Users can monitor trends over time and generate client-ready reports without the need for manual data compilation in spreadsheets or the use of screenshots. AI Search Console's unique approach lies in its ability to transform the complex and dynamic landscape of AI search into quantifiable analytics. By focusing on prompt-level data and citation mapping, it provides a systematic way to monitor and improve a brand's AI visibility, moving beyond guesswork to data-backed strategies. The benefits for users include a more efficient and accurate understanding of their AI search performance, leading to informed content strategies and improved brand presence. It helps teams identify content gaps and understand the influence of third-party sources on AI-generated recommendations, ultimately driving better results in the evolving AI search environment. Concrete use cases include SEO agencies monitoring their clients' performance in AI search, brands aiming to understand why they are not appearing in AI-generated answers despite good traditional search rankings, and content creators identifying which sources are most influential in AI responses within their niche. The product is primarily targeted at SEO/GEO agencies and brands. It supports multiple AI models and allows for project setup per language, with the ability to group prompts by customer journey stages for more targeted analysis. In summary, AI Search Console provides essential analytics for understanding and optimizing a brand's presence in AI search, offering detailed insights into prompt performance, competitor visibility, and cited sources to drive measurable improvements.