Steve Sonn

Key Traditional vs AI Search Differences - A Visual Comparison 👇 A few weeks ago, I created a detailed comparison highlighting the overlap between AI search and traditional search results optimization, however, I noticed that the major differences were often “missed” among the dozens of aspects compared. That’s why I want to emphasize the key differences between traditional and AI search that I believe have the most significant impact on our work as search marketers, in a visual, easier to understand format, giving examples for each: 1. Search Behavior * Traditional Search: Short, keyword based, one-off queries with high navigational intent * AI Search: Long, conversational based, multi-turn queries with high task oriented intent 2. Query Handling * Traditional Search: Single query match * AI Search: Query fan-out / Multiple sub-queries matches 3. Optimization Target * Traditional Search: Page Level Relevance * AI Search: Passage / Chunk Level Relevance 4. Results Presentation * Traditional Search: Ranked List of Multiple Linked Pages * AI Search: Single synthesized answer with mentions and secondary links to sources Get it here: aleydasolis.com/en/ai-search…

The AI Search Content Optimization Checklist [With Google Sheets to copy/paste] 👇 I’ve created an AI Search Content Optimization Checklist, going through the most important aspects to take into account to optimize your content for AI search answers along with their importance and how to take action, going through: 1. Optimize for Chunk-Level Retrieval 2. Optimize for Answer Synthesis 3. Optimize for Citation-Worthiness 4. Optimize for Topical Breadth and Depth 5. Optimize for Multi-Modal Support 6. Optimize for Content Authoritativeness Signals 7. Optimize for Personalization Resilient Content 8. Optimize for content crawlability and indexability Check it out and access the Google Sheets here: aleydasolis.com/en/ai-search…