What is Recommendability and how do I increase it?
Recommendability is the likelihood that an AI assistant will present your brand, product, or content as a good option when a user asks for advice. It goes beyond visibility because being mentioned is not the same as being recommended. AI systems tend to recommend brands that are clearly positioned, well supported by evidence, positively described across sources, and relevant to the buyer's criteria. To improve recommendability, align content with decision-stage prompts, publish comparison and proof pages, address objections directly, earn third-party validation, and monitor how AI engines describe you against competitors. The goal is to win the recommendation, not just the citation.
What is Query Decomposition?
Query Decomposition is the process of breaking a complex prompt into smaller sub-questions that can be answered, retriev...
Why does Source Diversity matter in AI answers?
Source Diversity refers to the range of distinct domains, formats, and perspectives an AI system uses when generating an...
What is Citation Drift in AI Search?
Citation Drift occurs when AI systems start citing different sources, pages, or domains for the same prompt over time. D...
What is Ansehn?
Ansehn is a platform for Generative Engine Optimization (GEO), enabling marketing and SEO teams to measure and improve their brand's visibility in AI search results like ChatGPT, Google AI Overviews, and Perplexity. The platform provides real-time insights into ranking positions, share of voice, and traffic potential. Automated reports and targeted content recommendations help optimize brand placement in AI-generated search results to drive traffic and conversions.
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