Gemini vs Perplexity: AI Recommendation Comparison

Gemini recommends a wider range of businesses than Perplexity: 30% vs 26% — a 4-point gap. The key insight: being recommended by one model is no guarantee the other will surface you.

The full 4-model comparison

How all 4 AI models perform across our dataset of Spanish SMBs

Why each AI model gives different recommendations

Each AI model draws from different data pipelines, which is why their recommendations diverge. ChatGPT uses Bing's web index. Gemini taps Google's knowledge graph and Maps data. Perplexity runs real-time web searches for every query. Claude uses Brave search results combined with training data. A business well-represented in Google's ecosystem may rank high in Gemini but be invisible to Perplexity.

Strategic implications

• 1

  Build presence across data sources, not just one platform. A diverse digital footprint — website, directories, reviews, content — covers the data pipelines of all four AI models.

• 2

  Scan your business across all 4 AI models with Surfeo's free tool. In 30 seconds you'll see exactly where you're recommended and where you're missing.

• 3

  Single-AI businesses face a 75% exposure gap. Three out of four AI-powered search experiences will never surface them. Closing that gap early creates a compounding advantage.