A Campaign Pitch Prices a ChatGPT ‘Category Win’ at $200K

US political candidates have been engineering their campaign messages to appeal to the AI chatbots that more voters use to answer questions about issues, Reuters reported on 26 October 2026, citing documents it had seen.

One PowerPoint presentation, prepared for Mike Minogue, the Republican challenger to Massachusetts Governor Maura Healey, aimed to convince ChatGPT, Claude, Gemini and other chatbots to present him as the preferred choice on key issues, Reuters reported. The presentation shows a top success fee of $200,000 for a “category win”.

Business Pill · CONTEXT ENGINEERING

A short explainer on context engineering: what a model sees before it answers. It teaches the general idea only and says nothing about these campaigns.

What the Pitch Proposed

The presentation proposed that Minogue’s campaign create hundreds of AI-friendly policy pages and citations across the websites frequently cited by AI chatbots, Reuters reported. It also proposed ways to track how major chatbots respond to political questions, and to systematically alter content until the answers reflect the candidate’s platform.

The deck describes generative engine optimization, or GEO, which Reuters calls the AI-era successor to search engine optimization. The firm would buy placements on high-authority websites that AI models already cite, produce YouTube and Reddit content, and publish issue pages built to be picked up by chatbots, Reuters reported.

“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, according to Reuters. Campaigns must now compete to become “the recommendation inside the AI answer,” the presentation says.

The strategy document was written by Visigent, an Austin, Texas-based firm. Its CEO, Thomas Howell, told Reuters: “If you don’t put the right information out there, who knows what the AI engines are going to grab onto.” Visigent has six political campaigns among its clients, but Howell would not identify them. The Minogue campaign did not return calls and emails requesting comment, Reuters reported.

What AI Influence Costs

Fees for AI strategists are tied to “AI recommendation share”, meaning how often chatbots return the candidate in a response, Reuters reported. The figures below are as Reuters reported them.

Prices as reported by Reuters on 26 October 2026; Howell said the fees are expected to rise as the 2028 presidential cycle kicks off after the midterm elections.

Why Campaigns Care

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, Reuters reported.

“Campaigns using AI-influence training are now a reality that we face and it will be ubiquitous by the 2028 cycle,” said Joe Bonilla, managing partner of Relentless Awareness, a New York-based creative strategy firm, Reuters reported. “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.

“This year the focus has been on candidates ensuring their own websites surface in chatbot results,” said Meg Schwenzfeier of Caucus AI, which tracks voter usage of AI. She warned that “chatbots speak very authoritatively and can consume vast amounts of unvetted information, so we have to guard against misinformation,” Reuters reported.

The Progressive Side: CampSight

CampSight, operated by Run for Something Action Fund and geared toward progressive candidates, charges campaigns between $9 and $250 per month for information on what LLMs are saying about them and tips on influencing them, Reuters reported. Run for Something’s president Amanda Litman said in a post on X that dozens of campaigns use CampSight, with more than 300 candidates and organizations on its waiting list.

“This year, that dark fear hasn’t really come to fruition. I think that the LLMs have been pretty savvy about discerning accurate and reputable information from non-reputable information,” Jordan Haines, Run for Something’s chief technology officer, told Reuters, referring to things said on Reddit appearing in AI answers the next day.

Connecting the Coverage

Two days earlier we covered the other side of the same question: what the chatbots themselves say about the races. A study reported by TechCrunch on 24 October found that, when forced to choose in this year’s US midterm races, Grok 4.7 recommended the Republican candidate in 92% of its answers, as our piece on Grok and GPT in the midterms reported. Reuters now describes campaigns working to shape those answers from the outside.

The Structural Read

As we read it, the unit being sold has changed: Reuters reports that fees are tied to “AI recommendation share”, meaning how often chatbots return the candidate in a response, rather than to search rankings.

As we read it, the market already has tiers: from CampSight’s $9 to $250 a month to Visigent’s political work from $5,000 and up to $50,000 a month with paid media, as Reuters reported.

As we read it, the demand side is measured: Cameron Hickey of the National Conference on Citizenship puts the share of eligible voters who have asked a chatbot about a candidate when deciding how to vote at some 25%, Reuters reported.

Three Implications

FOR CAMPAIGNS The Minogue presentation proposed tracking how major chatbots respond to political questions and altering content until the answers reflect the candidate’s platform, Reuters reported.

FOR AI COMPANIES Reuters does not include responses from OpenAI, Anthropic or Google; Run for Something’s Jordan Haines told Reuters the LLMs have been “pretty savvy about discerning accurate and reputable information from non-reputable information.”

FOR VOTERS Meg Schwenzfeier of Caucus AI told Reuters that “chatbots speak very authoritatively and can consume vast amounts of unvetted information, so we have to guard against misinformation.”

The Business Engineer Lens

This story maps onto the Business Engineer framework The Agentic Harness War.

The analysis puts it this way: “With fewer than one in a hundred individual users on the agentic surface, the conversational interface still overwhelmingly owns the consumer base.”

As we read it, that is the surface the Minogue pitch targets: the chatbot answer a voter reads. The analysis was published in July 2026 and does not discuss elections or campaigns.

What Is Not Established

The Minogue strategy is a pitch deck seen by Reuters; Reuters does not report that the campaign adopted it, and the campaign did not comment. Reuters does not include responses from OpenAI, Anthropic or Google. The 25% figure is Hickey’s, as reported by Reuters. We read Reuters’ story through a syndicated copy and did not contact the campaigns, Visigent, Run for Something or the AI companies.

The Bottom Line

A presentation prepared for Massachusetts candidate Mike Minogue proposed hundreds of AI-friendly policy pages and paid placements to make chatbots present him as the preferred choice, with a top success fee of $200,000 for a “category win”, Reuters reported on 26 October. Visigent’s Howell told Reuters political fees start at $5,000 a month and could reach $50,000.