What does AI tell voters about your candidate?
Millions of voters ask ChatGPT, Gemini, and Perplexity about candidates before casting a vote. AI Rankia shows you exactly what every AI model says — visibility scores, citation sources, sentiment per model, content gaps — and gives you a playbook to fix it.
We track how AI describes candidates across 17+ models
ChatGPT
Gemini
Claude
Perplexity
Copilot
AI Mode
Grok
DeepSeek
ChatGPT
Gemini
Claude
Perplexity
Copilot
AI Mode
Grok
DeepSeek
This is what a candidate AI audit looks like
We ran Alexandria Ocasio-Cortez through AI Rankia. 12 prompts, 7 AI models, one dashboard. Here's what we found — and what her campaign team should do about it.
Fan-out reveals the race framing problem. On 8 of 12 prompts, AI searches "AOC running for Senate" as speculation — not fact. No official candidacy page with structured data exists.
Healthcare: 95–97 sentiment but Heritage Action is cited. All models describe her record positively. PAC citation is a source-layer risk, not a narrative problem.
DSA withdrawal drives hostile fan-out. Gemini actively searches "DSA endorsement withdrawal 2024–2025" on branded queries. No official explanation page = hostile sources fill the gap.
YouTube is AI's #1 social source at 11%. Floor speeches and committee hearings dominate. Facebook (7%) and Instagram (5%) follow via repAOC page and voter guide content.
Schumer edges her head-to-head. All models score Schumer 100% vs AOC 95.6%. Tone is factual-neutral — not hostile, but she doesn't win the AI comparison.
Discovery sentiment low (avg 37) but not hostile. Models refuse to recommend and misdirect to State Senate races. The problem is absence and confusion — not bad framing.
This entire analysis ran in minutes — not days. Your campaign can have the same level of intelligence.
Run This For Your Candidate →AI is the new voter research tool
ChatGPT has 400M+ weekly users. When voters ask "Who should I vote for?", AI compares candidates side by side using whatever sources it finds — official pages, Wikipedia, PAC blogs, outdated news. If you're not monitoring what AI says, your opponent's narrative wins by default.
of candidates monitor what AI tells voters about them
weekly ChatGPT users — many asking about candidates and policies
AI models shaping voter perception — each with different sources and biases
From local races to national campaigns
Political Candidates
Know what AI tells voters when they search your name. See where you're invisible, misrepresented, or outranked by opponents.
Political Parties
Monitor how AI represents your party's platform and full candidate slate compared to the opposition — at scale.
Campaign Consultants
Add AI intelligence to your consulting toolkit. Monitor multiple candidates from a single dashboard. New revenue stream.
PACs & Advocacy Groups
Track how AI frames key issues and which candidates it associates with your cause. Ensure your positions are accurately cited.
Everything in the dashboard explained
Each section of the dashboard maps to an actionable intelligence layer.
Visibility Per Prompt
See how your candidate scores on every query voters actually ask — from branded searches to "who should I vote for." Each prompt gets a visibility % across all models.
Citation Source Intelligence
Know exactly which websites AI models cite when answering about your candidate. Spot hostile sources (PAC blogs, opposition sites) and see which friendly sources to strengthen.
Fan-Out Analysis
See the sub-questions AI generates when researching your candidate. Reveals exactly which content pages are missing — so you know what to publish to fill the gaps.
LLM Sentiment Scoring
Every AI response scored 0–100 per model. Know exactly when Grok frames your candidate differently than Gemini — and on which specific queries the gap is widest.
Opponent Comparison
Compare your candidate's AI presence head-to-head against opponents. See who AI recommends more, who gets better citations, and where the gaps are on every query.
Action Playbook
Every finding comes with a fix: which pages to publish, which sources to optimize, which citations to build. Prioritized by impact so your team knows exactly where to start.
From setup to actionable intel
Enter candidates
Add your candidate and opponents. We configure AI monitoring prompts tailored to political context — policies, voting records, endorsements.
Get the full dashboard
See exactly what every AI model says — visibility scores, citation sources, sentiment analysis, fan-out gaps, and competitor comparisons. All in one view.
Execute the playbook
Follow prioritized actions: publish missing pages, optimize official bios, displace hostile sources, build citations from authoritative coverage.
Traditional tools vs AI campaign intelligence
| Capability | Traditional | AI Rankia |
|---|---|---|
| Google/social media monitoring | ✓ | ✓ |
| ChatGPT, Gemini, Claude monitoring | ✗ | 17+ models |
| AI citation source tracking | ✗ | ✓ |
| Candidate vs. opponent AI comparison | ✗ | ✓ |
| Policy misattribution detection | ✗ | ✓ |
| Fan-out sub-query analysis | ✗ | ✓ |
| LLM sentiment scoring (0–100 per model) | ✗ | ✓ |
| Discovery query visibility | ✗ | ✓ |
| Political Person schema markup | ✗ | ✓ |
| AI narrative action playbook | ✗ | ✓ |
Questions from campaign teams
Your opponent may already be optimizing for AI. Are you?
Run a free AI audit on any candidate. See what 17+ AI models tell voters — in minutes.
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