Can You Hack an LLM Into Recommending Your Brand? The Facts
Tricks like hidden prompts and memory poisoning can sway AI answers briefly, but they carry real risk. Learn what works, what backfires and what lasts.
Dharini Shah · Oct 6, 2026
Field notes on how brands get cited, recommended, and trusted across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews.
Tricks like hidden prompts and memory poisoning can sway AI answers briefly, but they carry real risk. Learn what works, what backfires and what lasts.
Dharini Shah · Oct 6, 2026
GEO is ethical when it makes true information easier for AI to find and cite. See where optimization turns into manipulation and how to stay on the right side.
Priya Bothra · Oct 6, 2026
AI hallucinations about brands are confident but false claims AI assistants make about your company. Learn the types, the root causes and early warning signs.
Priya Bothra · Oct 5, 2026
You cannot edit a trained AI model, but you can shape what it retrieves now and learns next. See which levers work, which do not, and where to start.
Priya Bothra · Oct 5, 2026
AI models learn about a new brand through live retrieval, knowledge graphs, future training data and user context. See how each path works and its timeline.
Priya Bothra · Oct 4, 2026
A knowledge cutoff is the last date an AI model learned from. Learn why it makes AI describe old pricing or miss new products, and how to reduce the gap.
Dharini Shah · Oct 4, 2026
Training data is what an AI model learned before release. Retrieved data is what it looks up at answer time. See how each shapes what AI says about your brand.
Priya Bothra · Oct 3, 2026
A generative engine is an AI system that retrieves information and writes one synthesized answer. Learn how it works, key examples and what it means for brands.
Priya Bothra · Oct 3, 2026
The 2023 GEO paper tested nine content tactics on 10,000 queries. See what worked, what failed, what the 40% figure means and where the study falls short.
Priya Bothra · Oct 2, 2026