In the past decade, digital content strategies were dominated by SEO — search engine

optimization. Businesses focused on keywords, backlinks, and authority to ensure visibility. Today,

generative engines such as ChatGPT, Google Gemini, Claude, and Perplexity AI have shifted the

landscape. These systems do more than retrieve information; they generate context-aware,

human-like responses based on structured and unstructured data.

Generative Engine Optimization (GEO) ensures that content is designed not just for human

readers but for AI comprehension. This means optimizing entities, relationships, semantic

relevance, and structured knowledge so that generative models can produce accurate,

trustworthy outputs about your brand, products, or services.

Example: A Bangladeshi cosmetics brand wants to appear in AI-generated recommendations for

“best matte lipsticks.” Without GEO, AI might omit the brand or misrepresent product details. With

GEO, structured content, knowledge graphs, and semantic annotations ensure AI outputs

accurately feature the brand.

Exercise: Compare outputs from ChatGPT and Google Gemini for queries about vegan lipsticks.

Note discrepancies and accuracy.