Introduction to Generative Engine Optimization
Since the turn of the Millennium, marketers have mastered the science of search engine optimization. We learned the “rules” of ranking, the art of the backlink, and the rhythm of the algorithm. However, the ground has shifted to generative engine optimization (GEO). The era of the 10 blue links is giving way to the age of the single, synthesized answer, delivered by large language models (LLMs) that act as conversational partners.
The New Challenge: Reasoning and Representation
The new challenge isn’t about ranking; it’s about reasoning. How...
How Generative AI is Changing the Marketing and Sales Landscape
New research from Microsoft has shed light on the impact of generative AI on marketing...
Introduction to AI Search
The rise of AI search engines has changed the way we approach online visibility. With no rankings, impressions, or static results,...
Introduction to Google's New Shopping Features
Google has recently unveiled three new shopping features that utilize AI to enhance the way people discover and buy...
Introduction to the Experiment
Aleyda Solís conducted an experiment to test how fast ChatGPT indexes a web page. She created a brand new page titled...
Introduction to Google Ads Waste
Most brands are unaware that they're wasting money on branded ads. In fact, many advertisers are paying high costs per...
Introduction to Web Guide
Google has launched an experimental feature called Web Guide in Search Labs. This feature uses AI to reorganize search results pages,...
Introduction to Generative Engine Optimization
The game has changed, and quite recently, too. Generative engine optimization (GEO), AI Overviews (AIOs), or just an extension of...
Introduction to DuckDuckGo's New Feature
DuckDuckGo, a popular search engine, has introduced a new feature that allows users to filter out AI-generated images from their...