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Ahead of US midterms, candidates seek to get AI chatbot 'support', Pg14
US political candidates are engineering campaign messages to influence AI chatbots, using 'Generative Engine Optimization' to sway voters ahead of midterms.
US political candidates are actively tailoring campaign messages to influence AI chatbots ahead of midterm elections.
This strategy, termed Generative Engine Optimization (GEO), aims to ensure chatbots present candidates favorably on key issues.
Campaigns are creating AI-friendly policy content and tracking chatbot responses to systematically align them with their platforms.
Approximately 25% of eligible voters have used chatbots for information on political candidates.
Detailed Insights:
The approach goes beyond traditional Search Engine Optimization (SEO) by focusing on how Large Language Models (LLMs) like ChatGPT, Claude, and Gemini interpret and present information.
Political consulting firms, such as Relentless Awareness and Visigent, are offering services to help campaigns manage their AI presence.
These services can range from hundreds to tens of thousands of dollars monthly, depending on the scope of monitoring and media buying.
The core idea is to shape the online information environment by feeding AI assistants data that influences how candidates are described and recommended.
Experts express concerns regarding the potential for misinformation and the difficulty for voters to discern AI-generated content from human-originated content.
The trend is expected to become ubiquitous by the 2028 election cycle, including the presidential election.
Key Concepts Involved:
Generative Engine Optimization (GEO): The practice of structuring digital content to perform well on AI search and answer engines, influencing how Large Language Models (LLMs) retrieve and present information.
Search Engine Optimization (SEO): The process of improving a website's visibility and ranking in traditional search engine results pages (SERPs) through organic means.
AI Chatbots: Computer programs designed to simulate human conversation through text or voice, often powered by Large Language Models (LLMs), used here to provide information on political candidates.