A new research paper argues that "Agent Experience" (AX) is now more critical for businesses than "Answer Engine Optimization" (AEO). The paper posits that as AI models evolve from relying solely on training data to actively searching the live web, the ability for an AI agent to access and comprehend a business's own website (AX) becomes paramount. The study analyzed over 37,000 agent journeys across 1,056 businesses and found that sites with good AX were recommended 1.9 times more often and had answers built from their own pages 78% of the time, compared to 56% for less accessible sites. Furthermore, answers derived from readable sites were 41% more accurate, with the primary failure mode shifting from fabrication to omission. AI
IMPACT Businesses must prioritize website accessibility and readability for AI agents to ensure accurate information retrieval and recommendations.
RANK_REASON Research paper published on arXiv detailing a new concept in AI interaction with businesses. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.IR (Information Retrieval) →
- Agent Experience
- AI models
- alphaXiv
- Answer Engine Optimization
- CatalyzeX
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- ScienceCast
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
