AI has its own flavor of content optimization that businesses need to sharpen. Enter generative engine optimization (GEO), which was the topic of an L25 conference session…
Generative Engine Optimization (GEO): The New Search Battleground
Search is rewriting the rules. Traditional Local SEO remains vital, yet local businesses must now adapt with Generative Engine Optimization (GEO). What is it and why does it matter? Uberall will break it all down.
Speakers
Krystal Taing , Uberall
Allison Townsend, Uberall
Key Takeaways
- Given the rise of AI – and its replacement of search in some cases – businesses want to be present in that channel, just like they do in search
- This raises the question of AI’s version of SEO… which is materializing as we speak, and known by a few names (AIO, LLMO, etc).
- Uberall calls this Generative Engine Optimization (GEO), which has a rapidly-developing playbook.
- There’s no intentional play on “geo” – the greek root for earth used in all-things local – but that can help you remember it.
- The good news is that GEO inherits many of the best practices of SEO, so businesses can save time getting started.
- That includes things like making sure your business information is correct, updated and optimized in key places where AI draws from.
- If that sounds familiar, it’s similar to SEO, as noted, meaning that anyone on top of their SEO game has a head start.
- But for those who’ve fallen behind in SEO, the stakes are now higher because those shortcomings now echo into AI.
- Beyond SEO-inherited tactics, there are a few unique and AI-native parts of the GEO playbook
- Those include paying closer attention to social media and reviews, where the content is inherently in natural language.
- More Generative Engine Optimization principles will rapidly advance as AI itself does, and as we continually reverse-engineer its algorithms… just like SEO.
