Frequently asked questions
Q: What is Generative Engine Optimization (GEO)?
GEO is the practice of optimizing content to be cited by AI "Answer Engines" (like Perplexity, ChatGPT Search, and Google AI Overviews). Unlike traditional SEO, which focuses on ranking links, GEO focuses on becoming the "source of truth" that an AI summarizes. Strategies include using direct "answer-first" formatting, structured data, and high-authority citations.
What is the actual difference between a Chatbot and an AI Agent?
The core difference is autonomy. A chatbot is reactive; it follows a pre-written script or uses an LLM to answer questions based on existing data. An AI Agent is autonomous and goal-oriented. It can reason through a problem, plan a series of steps, and use external tools (like a CRM or email client) to execute tasks without human intervention.
Will AI agents replace human customer service teams?
Not entirely. The trend for 2025 is a "hybrid" model. AI agents handle high-volume, repetitive tasks (Tier 1 support), while human agents are reserved for complex, high-empathy interactions (Tier 2/3 support). The risk of over-automation is an "empathy deficit" that can damage customer loyalty.
How do I write content that AI agents can easily read?
AI models process information in "chunks." To optimize for this:
Use clear, hierarchical headings (H2, H3).
Provide direct definitions immediately after a question.
Use bullet points and numbered lists for processes.
Include specific "entities" (names, places, distinct concepts) to help the AI build a knowledge graph.