SEO & LLM Optimization Intern
(Search + Generative Engine Optimization)
About the role
This role focuses on ensuring Haber's content is discoverable where modern search actually happensacross traditional search engines and AI-driven, LLM-based discovery.
You'll work closely with the Content Manager to optimize content for SEO and emerging Generative Engine Optimization (GEO), helping shape how Haber appears in search results, AI answers, and knowledge retrieval systems.
Key responsibilities
- Own and manage the SEO budget allocated for tools, audits, and experiments
- Support keyword research, on-page SEO, and internal linking strategies
- Optimize content structure for LLM and AI-based search visibility
- Assist in content audits for SEO and GEO improvements
- Track rankings, impressions, and performance using analytics tools
- Support metadata, schema, and content hygiene best practices
- Research how LLMs surface and reference content and share insights
Who we're looking for
- 12 years of hands-on experience in SEO, content marketing, or growth roles
- Interest in SEO, content discovery, and AI-driven search
- Strong attention to detail and analytical thinking
- Comfort with data, tools, and dashboards (or willingness to learn fast)
- Clear written communication skills
- Curious, structured, and eager to experiment and learn
