Argumentree.AI is an AI policy analysis tool that uses multi-LLM policy research to deliver evidence-based analysis of policy questions. As a think tank AI tool, it has several AI models (GPT, Claude, Gemini, Grok, Perplexity, and more) take turns on one pro/con argument tree for any yes/no policy question: the web-search models go first and bring sources, and each next model reviews the arguments already on the tree and adds its own with evidence. Then every model rates every argument, showing which claims have broad agreement and which are genuinely contested. Every argument shows which model wrote it. This delivers a multi-perspective policy analysis in minutes rather than weeks, because each AI model brings different training data and reasoning approaches. Policy advisors, think tanks, government committees and advocacy groups use Argumentree.AI to map the landscape of a policy debate before committing resources to deeper research. Available at argumentree.ai with a free tier.
Single-analyst research inherits one perspective. Collective AI Reasoning puts several AI models on one argument tree and has every model rate every argument — so you know which arguments hold up.
Several AIs argue pro and con with evidence on one tree — economic growth data, employment studies, inflation models, international comparisons. Their ratings reveal which economic arguments have broad agreement, and where the genuine trade-offs lie.
Illustrative example — not actual model output.
Pose your policy question: 'Should the EU adopt a carbon border tax?' or 'Is rent control effective?' Any yes/no policy question works.
Several AI models (GPT, Claude, Gemini, Grok, Perplexity, and more) take turns: web-search models go first, then each next model reviews the arguments on the tree and adds its own pro and con arguments with evidence.
Every model rates every argument. The ratings expose weak claims and surface the strongest evidence.
See which policy arguments all models agree on (high confidence) and which split evenly (genuinely contested). Consensus = clarity for decision-makers.
Each AI model brings different training data and reasoning, covering economic, social, political, legal, ethical, environmental, and practical angles.
See how every model rated each argument. When most models rate it up, confidence is high; an even split means it is genuinely contested.
What traditionally takes weeks of stakeholder interviews and desk research, Collective AI Reasoning delivers in minutes with structured evidence.
Map the full landscape of a policy debate before briefing decision-makers
Rapid multi-perspective analysis for policy papers and position statements
Evidence-based analysis across economic, social, and legal dimensions
Understand opposing arguments to strengthen your own policy positions
Argumentree.AI is one of four products — from human deliberation to AI reasoning, AI debate and AI agent governance.
Collaborative decision-making platform. Teams map decisions as structured pro/con trees.
Meeting intelligence →Collective AI reasoning platform. Several AI models take turns building and reviewing one pro/con tree, then rate every argument.
Learn more →Multi-agent AI debate platform. Several AI personas argue any topic from every angle.
AI simulations →Argumentree.AI has several AI models (GPT, Claude, Gemini, Grok, Perplexity, and more) take turns analyzing a policy question on one pro/con argument tree, then rate every argument. The ratings reveal which policy arguments have broad agreement (most or all models agree) and which are genuinely contested (an even split).
Argumentree.AI complements policy teams rather than replacing them. It provides a multi-perspective analysis in minutes instead of weeks, surfacing arguments and evidence that human analysts can then verify and build upon. The ratings help prioritize which claims deserve deeper human investigation.
After the models have built and reviewed the policy argument tree in turn, every model rates every argument up or down. When most models rate an argument up, confidence is high; when all of them do, it is higher still. An even split indicates a genuinely contested policy question where reasonable perspectives diverge.
Complex, multi-stakeholder policy questions benefit most from Collective AI Reasoning. Examples: minimum wage increases, carbon taxes, housing regulations, healthcare reform, education policy, immigration reform. Simple factual policy lookups don't need multiple perspectives.
Argumentree.AI is built for GDPR compliance. Data is stored in the EU (Germany). Models hosted on Azure AI run in Sweden; GPT, Claude, Gemini, Perplexity and Grok are optional and run at their vendors outside the EU, so a team can restrict itself to the EU-hosted models. The interface is available in 66 languages.
Collective AI Reasoning for policy research — free to start.