No-Code/Low-Code companies average 60% AI visibility — below market average

Understanding AI Visibility in the No code Industry

As artificial intelligence becomes the primary way consumers discover and evaluate no code businesses, understanding your AI visibility has never been more critical. When users ask ChatGPT, Claude, or Perplexity for recommendations, these AI models draw from their training data to suggest relevant options. Companies with strong AI visibility appear more frequently and more favorably in these recommendations.

Our analysis examines how AI models perceive no code companies across three key dimensions: AI Recall Strength measures whether AI models can accurately remember and retrieve information about a company. Recommendation Frequency tracks how often a company is suggested when users ask for relevant recommendations. Context Accuracy evaluates whether AI provides correct and helpful information about the company.

The no code sector faces unique challenges in AI visibility. Traditional marketing strategies may not translate directly to AI recommendation systems. Companies that invest in structured data, comprehensive online presence, and authoritative content tend to perform better in AI-powered discovery. Understanding these dynamics helps no code businesses adapt their digital strategy for the AI-first era.

Below, we present benchmarks and insights specific to the no code industry, helping you understand where your company stands and how to improve your AI visibility scores.