Why Second Position Matters in AI Search
AI models don't just provide single answers. They increasingly offer lists, comparisons, and "top 3" recommendations. In this context, being cited second—especially as the primary alternative to the first-position brand—drives meaningful business results.
Key insight from Texta's analysis of 200k+ AI responses: Second-position brands receive 34% of click-through interest from multi-option answers. When AI models list 3-5 options, users consider and click the second option roughly one-third of the time. This makes second-position mentions highly valuable, especially in competitive categories where top position is contested or unstable.
The Position Distribution in AI Answers
Texta's research reveals how position affects mention value:
Position 1: 45% of click-through interest
Position 2: 34% of click-through interest
Position 3: 15% of click-through interest
Position 4+: 6% of click-through interest
Why second position outperforms its share: Users often view the first option as the "obvious" or "default" choice and actively consider alternatives. Second position becomes the primary alternative, capturing substantial consideration from users who want to compare or avoid the market leader.
Strategic implication: In categories where you can't consistently earn first-position mentions, maximizing second-position mentions (high GSVO) provides a viable path to meaningful AI visibility and business results.