GEO — generative engine optimization — is the practice of optimizing content for visibility in generative engines: AI systems that compose answers from retrieved sources. Full entry for GEO in the glossary.
A new arXiv benchmark, HAE-GEO, tests whether AI shopping agents verify suspicious evidence and recover before finalizing a recommendation, rather than…
Ten Speed analyzed 170 B2B buyer-evaluation prompts across ChatGPT, Perplexity, Claude and Gemini, generating 7,387 citation appearances tracked via the…
A new arXiv preprint introduces Counter-GEO-Bench, a benchmark for testing whether AI safety guardrails catch misinformation delivered through generative…
A Contentsquare survey of 2,000 consumers in the US and France found that when an AI-recommended website disappoints a shopper, 23% switch to a competitor…
A new arXiv preprint describes PersonaGen-1M, a corpus of 1,031,732 synthetic buyer personas spanning 511 industry labels and 4 market contexts, built to…
Testing GPT-4o-mini, Claude Sonnet and Gemini on skincare product recommendations, researchers Xi Chu and Yupeng Hou found that when competing products…
A GEOFlagBench study — 3,200 pages spanning eight GEO optimizer families — trained a detector, Intervention-Paired Training on ModernBERT, that raised F1…
Gen Z consideration of Claude climbed from 14.2% to 28.1% and of OpenAI from 10.1% to 22.1% between Q1 and Q2 2026, per YouGov BrandIndex data reported by…
A geoSurge study found AI models search for familiar brands 3.2 times more often than unfamiliar ones — 55.7% versus 17.4% of the time — per Search Engine…
Researchers introduce GPE, a multi-domain fact-verification benchmark and evaluation framework that lets evaluators control evidence sources and poisoning…
A critical survey of 45 studies frames GEO as a stochastic, partially observable pipeline spanning retrieval, citation, prominence and user behavior — not…