IAReport helps businesses understand their brand's visibility within large language models, specifically how platforms like ChatGPT and Gemini recommend their brand. Key features include:
• Brand recognition analysis
• Competitor visibility tracking
• Source identification for recommendations
• Actionable improvement suggestions
• Website optimization guidance
This platform addresses the shift in consumer search behavior, where customers increasingly ask conversational platforms for recommendations instead of traditional search engines. IAReport simulates real customer queries to determine if a brand is recommended, who its competitors are in those recommendations, and the specific tone used to describe each brand. It goes beyond simple measurement by repeating queries, comparing results, and saving evidence to account for the dynamic nature of these recommendation systems.
The system provides a comprehensive view, distinguishing between what a large language model knows inherently about a brand versus what it finds by searching the internet. It identifies the exact directories, reviews, media, and listings that influence recommendations, highlighting where competitors appear and the brand does not. Each report concludes with concrete, prioritized actions, including specific listings to target, messages to reinforce, and areas to improve. Additionally, IAReport offers website optimization, providing ready-to-use text and code changes to enhance how a site is interpreted by conversational search systems. The platform tracks progress monthly, re-evaluating the same queries to demonstrate the impact of implemented changes.
IAReport is ideal for marketing teams, brand managers, and business owners in Latin America and Spain who need to secure their brand's presence in the evolving landscape of conversational discovery and ensure they are recommended to potential customers.
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