OPPOSITION LISTENING

The AI Narrative Problem

Political campaigns spend millions monitoring traditional media — TV, radio, print, social. Almost none of them monitor AI. This is a critical blind spot. AI systems like ChatGPT, Perplexity, Gemini, Claude, and Grok are now answering millions of political questions every day. 'Who is running for city council in Polk County?' 'What does the school board candidate believe about curriculum?' 'What is the voting record of the state house incumbent?' 'Who is funding the campaign against Amendment X?' These questions are being asked by voters, journalists, donors, and opposition researchers — and the answers are being generated by AI systems from whatever entity data exists in their training corpus.

The problem is that AI-generated political narratives are not neutral. They reflect the structured data that campaigns, media organizations, and advocacy groups have published about candidates and issues. A campaign that has built strong entity infrastructure will have accurate, favorable AI narratives. A campaign that has ignored AI visibility will have whatever narrative the AI has assembled from incomplete, outdated, or opponent-sourced data. And most campaigns don't know which category they're in.

BackTier's Opposition Listening service closes this intelligence gap. We systematically query every major AI engine with the questions voters are asking about your candidate, your opponent, and the key issues in your race. We track how those answers change over time. We alert you when narratives shift — when new information enters the AI's knowledge base, when opponent activity changes the AI's framing, when hallucinations appear that need to be corrected. And we give your campaign the intelligence to respond.

What Opposition Listening Monitors

The monitoring scope covers five categories of AI-generated political content. Candidate narratives: how each AI engine describes your candidate and your opponent — their background, positions, endorsements, controversies, and qualifications. Issue framing: how AI systems describe the key issues in your race and which candidates they associate with which positions. Endorsement and funding narratives: what AI says about who is supporting each candidate and why. Controversy and opposition research: whether AI systems are surfacing negative narratives about your candidate, and whether those narratives are accurate. Geographic and demographic targeting: how AI answers differ when queries include specific cities, counties, or demographic contexts.

Monitoring runs daily across ChatGPT, Perplexity, Gemini, Claude, and Grok. Each query is logged with the exact response, the date and time, and a comparison to the previous response. When a response changes — when new information appears, when framing shifts, when a hallucination is detected — your campaign receives an alert within 48 hours with the specific change, the likely cause, and recommended response options.

The intelligence output is a weekly narrative report delivered to your campaign team. The report covers the current AI narrative for your candidate and opponent across all five engines, narrative changes from the previous week, identified risks and opportunities, and recommended entity infrastructure updates to correct inaccuracies or strengthen favorable narratives. The report is designed to be actionable — not just intelligence, but a clear path to improving your AI narrative position.

Baseline Narrative Audit

We query all five AI engines with 50+ questions about your candidate, your opponent, and the key issues in your race. Establishes the baseline narrative position for ongoing monitoring.

Daily Monitoring Setup

Automated daily queries across ChatGPT, Perplexity, Gemini, Claude, and Grok. Every response logged with timestamp and compared to previous responses for change detection.

Alert System

When a narrative changes — new information, shifted framing, detected hallucination, or opponent activity — your campaign receives an alert within 48 hours with the specific change and recommended response.

Weekly Intelligence Report

Narrative analysis across all five engines, week-over-week changes, identified risks and opportunities, and recommended entity infrastructure updates. Delivered every Monday morning.

Narrative Correction

When inaccuracies or hallucinations are detected, BackTier deploys entity infrastructure updates to correct the AI narrative — structured data corrections, GEO content, and citation network adjustments.