The Role of Geo-Targeting in LLM Recommendations
The Role of Geo-Targeting in LLM Recommendations
LLMs adapt recommendations based on user location. A prompt asked in Sydney may yield different answers than one in San Francisco. This means geo-targeting isn’t just for Google Ads—it matters for AI recommendations too.
Why Geo Differences Happen
- Local competitor presence in media or review platforms
- Regional content ranking in LLM training data
- Different regulatory contexts (especially in finance and healthcare)
Steps to Geo-Optimize for LLMs
- Run location-specific scans for your prompts in different geos.
- Localize your citations with region-specific case studies and reviews.
- Engage in local PR and pitch local press and directories that LLMs may surface.
Example
A UK CRM vendor found they ranked in UK LLM answers but not in Australia—because their case studies were UK-only. Adding AU-specific examples improved presence in 4 weeks.
Related Reading: How to Optimize LLM Answers for Maximum Brand Visibility