Blog

Protect Your Brand from Black-Hat Competitor Tactics: The Dark Side of GEO in 2025

Protect your brand from black-hat competitor tactics in Generative Engine Optimization (GEO) and AI search. Learn research-backed strategies to defend against adversarial manipulation in ChatGPT, Claude, Perplexity, Google AI Overviews, and Bing AI while maintaining visibility in generative search results.

GEO: learning from Adversarial Attack Research: How this company increased visibility by 40% in Deepseek R1

How understanding AI vulnerabilities can strengthen your content optimization for generative engines

Does llms.txt actually work? AI-Specific Sitemaps: Boosting Visibility in Generative Search Engines and AI Agents

This article goes in depth on the idea of AI specific sitemaps for agentic crawlers, RAG based chat models like ChatGPT, Claude, Grok, Gemini and Perplixity. It describes an overview and best practices of ideas like creating an llms.txt alongside your traditional robots.txt.

# How AI Actually Searches the Web in 2025: A Hands-On Case Study with Crawl4AI + RAG

This article is for people curious in how SEO is evolving when search moves towards AI powered engines. this is a technical dive in a key component of what underpins a lot of AI powered search engines, the crawler and the RAG pipeline. Understanding this gives you a deeper then surface level knowledge of what is going on behind the scenes of your favorite chatbot.

What is Generative Engine Optimization?

A technical breakdown of GEO principles and how they differ from traditional SEO.

How Adversarial attacks on LLMs can inform your GEO strategy