US political candidates are tailoring messages for AI models in 'new era' of campaigns
Some 25% of eligible voters have asked a chatbot about a political candidate when deciding how to vote, according to Cameron Hickey, CEO of the National Conference on Citizenship.
That shift has not gone unnoticed by campaigns in the US, where candidates have been engineering their messages to appeal to the AI models that more voters have been using to answer questions about issues.
Documents seen by Reuters have revealed some of their strategies. One Powerpoint presentation set out a plan for Mike Minogue, the Republican challenger to Massachusetts Governor Maura Healey.
Its goal was to convince ChatGPT, Claude, Gemini and other chatbots to present him as the preferred choice on key issues. The approach went well beyond the traditional search-engine optimization that candidates have used for years.
As AI increasingly becomes a source of news, political campaigns must make greater efforts to control its output and become its recommendation when voters ask questions such as who is best on issues like taxes, housing and public safety.
Some experts worry about fact-checking and misinformation in AI campaigns.
The presentation prepared for Minogue’s campaign and seen by Reuters describes generative engine optimization, or GEO, the AI-era successor to search engine optimization (SEO). It says the firm behind it would buy placements on high-authority websites that AI models already cite. It would also produce YouTube and Reddit content and publish issue pages built to be picked up by chatbots.
The pitch proposed that Minogue’s campaign should create hundreds of AI-friendly policy pages and citations across the websites frequently cited by AI chatbots. It proposed ways to track how major chatbots respond to political questions, and systematically alter content until the answers reflect the candidate’s platform.
At the center of the pitch was the idea that in addition to persuading voters directly, campaigns can increasingly shape the information environment by feeding the internet, and AI assistants, data that influences how candidates are described, compared and recommended.
“Campaigns using AI-influence training are now a reality that we face and it will be ubiquitous by the 2028 cycle,” which will include a presidential election, said Joe Bonilla, managing partner of Relentless Awareness.
The New York-based creative strategy firm has worked with companies and political candidates at the federal, state, and local levels.
“The public increasingly cannot and will not be able to discern what is created by systems like Claude and ChatGPT versus human-originated content,” Bonilla said.
“When the campaign is ready, we run paid placements on high-domain-authority sites the LLMs (large language models) already cite — plus Reddit, which is disproportionately weighted in retrieval,” the pitch deck says.
Campaigns must now compete to become “the recommendation inside the AI answer” according to the presentation prepared for Minogue.
