AI & Machine Learning

Latest trends in AI and ML

Multi-LLM Citation Recovery Strategy for AI Search Visibility
Leo WangJul 2, 2026

Multi-LLM Citation Recovery Strategy for AI Search Visibility

this article explains how to recover lost brand citations across AI search systems with a repeatable operating model: make your site technically readable to AI systems, expand authoritative source coverage, monitor prompts across multiple models, and reinforce the entities and claims those models rely on when generating answers.

Leo WangJun 18, 2026

How to Build a Multi-LLM Citation Recovery Strategy That Restores AI Visibility

Brands can rank well in traditional search and still disappear from AI-generated answers. That gap matters because AI-assisted research is becoming part of how buyers compare solutions, shortlist vendors, and validate claims before they convert. A practical citation recovery strategy focuses on three jobs: make the brand easy to identify, make pages easy for AI systems to extract, and build enough third-party corroboration that answer engines trust the brand enough to mention it.

AI Prompt Engineering Guide: Reverse-Engineering Search Behavior for GEO Research
Leo WangJun 11, 2026

AI Prompt Engineering Guide: Reverse-Engineering Search Behavior for GEO Research

Traditional prompting guides teach you how to ask AI questions. This AI prompt engineering guide takes a different approach. We're reverse-engineering how AI systems actually search for information. Search behavior has changed at its core, and prompts may be 20x longer than traditional queries. Google's AI Overviews now appear in 60%+ of search results。AI visibility has become the new priority.

Why Visual Content Is Critical for LLM Search Visibility in 2026
Leo WangApr 12, 2026

Why Visual Content Is Critical for LLM Search Visibility in 2026

LLM search has evolved beyond text-based queries into a multimodal ecosystem where visual content shapes AI visibility as powerfully as traditional keywords. This shift creates a point often overlooked: visual assets generate semantic signals that determine whether your brand appears in AI-generated responses. GEO now requires visual optimization strategies, as well as AI search tracking to measure performance. Mastering machine-readable visual content determines competitive advantage in AEO.