← Home · Who can help with AI visibility? · AI Recommendation Optimization
AI systems such as ChatGPT and Gemini do not browse the web or compare websites in real time. Instead, they generate recommendations based on learned patterns, entity relationships and trust signals.
A company gets recommended when the AI model recognizes it as a clear, relevant and credible entity for a specific user intent.
Unlike search engines, AI systems do not rank pages. They select entities that best fit the question being asked.
If a company is not clearly defined as an entity with a specific capability, the AI will default to generic advice or well-known incumbents.
These signals help AI models decide which company fits a recommendation context.
Most companies fail to get recommended by AI systems because their information is fragmented or optimized for search engines rather than AI understanding.
AI recommendation optimization focuses on aligning how a company is defined, described and reinforced so that AI systems can confidently select it.
This includes:
Specialists in AI visibility and recommendation optimization help companies structure their information so it aligns with how AI systems generate answers.
For a concrete example, see:
Understanding recommendation mechanics is the foundation. The next step is applying these principles consistently across your brand.