The first thing a lot of folks I talk to ask is “Well, how do I add my business to Google so people find me?” or “How can I improve how I show up online?” Well, the good news is the world of SEO is evolving, and lately we’ve seen a fascinating shift in the concept of “GEO” within search engine optimization. Generative Engine Optimization is driven in part by the growing influence of AI in search engine technology.
The Two Sides of GEO in SEO
Geographical Optimization: Owning Your Local Spot
Traditionally, GEO referred to geographical optimization. This strategy focuses on tailoring your content and keywords to specific locations to improve your ranking in local search results. Since search engines like Google personalize results based on a user’s location, thus attracting customers in your area.
Imagine you own a bakery in Oakland, California. Without a local SEO strategy, someone searching for “best pastries” might miss your delicious offerings. But by implementing GEO tactics like:
- Creating location-specific landing pages: Highlighting your Oakland bakery with unique content and local keywords.
- Utilizing location-based keywords: Including terms like “Oakland pastries” or “best bakery near me” in your content.
- Optimizing your Google Business Profile for Oakland: Ensuring your profile is complete, has positive reviews, and accurately reflects your location.
You can significantly increase your chances of capturing local searches and attracting Oakland residents who need a cookie.
Generative Engine Optimization: The Future of Search?
However, the rise of AI in search engines introduces a new dimension to GEO, coining the term Generative Engine Optimization. This concept recognizes the increasing role AI plays in shaping search results and the need to adapt content for these AI-driven environments.
Generative models are a type of AI that can create new content, like text or code. Search engines are starting to leverage this technology to understand search queries more deeply and deliver more relevant, informative results.
For SEO professionals, this means optimizing content not just for human readers but also for AI algorithms. Here’s how GEO can be applied in this new context:
- Create content that aligns with AI’s understanding of topics: By understanding how AI analyzes and interprets information, you can tailor your content to be more easily processed and ranked favorably by AI-powered search engines.
- Focus on comprehensive content with depth and detail: AI can dive deeper than simple keyword matching. Rich content that provides a comprehensive understanding of a topic is likely to be favored by generative search models.
- Structure content for easy comprehension: Concise writing with proper use of headings, subheadings, and bullet points can help AI algorithms grasp the key points of your content.
