Bridging research and peace implementation
Peace Accords Matrix (nd.edu) scores 69 out of 100 on Brand Analyzer, placing it in the Developing tier among Non-profit brands, Education brands, Government brands, in the 23rd percentile of 27140 Non-profit brands.
Peace Accords Matrix (PAM) is a research initiative based at the University of Notre Dame that compiles and analyzes data on the implementation of intrastate peace agreements. Led by researcher Madhav Joshi, PAM maintains what it describes as the largest existing database of peace accord implementation data, with specific monitoring of processes such as Colombia and Mindanao. It serves as a bridge between academic research and practical peacebuilding, supporting researchers, policymakers, and practitioners worldwide.
| Brand Name | Peace Accords Matrix |
|---|---|
| Domain | nd.edu |
| Industry | Non-profit, Education |
| Headquarters | Notre Dame, Indiana |
| Parent Company / Owner | University of Notre Dame |
| Main Competitors | PA-X Peace Agreements Database, Uppsala Conflict Data Program, Peace Research Institute Oslo (79/100), United States Institute of Peace (71/100), Council on Foreign Relations (Global Conflict Tracker) (94/100) |
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Search Accords Colombia Latest Research Mindanao" (No meta description. OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare, WordPress, Ghost, Angular.
Social footprint: verified profiles on Facebook, Instagram, X (Twitter), YouTube; no detected presence on LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is University of Notre Dame?", Claude could identify the brand as of August 2026. The University of Notre Dame is a private Catholic research university located in Notre Dame, Indiana, founded in 1842 by Father Edward Sorin. It's known for strong undergraduate education, a prominent business school (Mendoza) and law school, and a large, devoted alumni network. Best known for Its storied football program and strong Catholic identity combined with academic prestige.
When asked "Best brands similar to University of Notre Dame?", Claude would recommend Peace Accords Matrix as of August 2026. It's a top-tier private university frequently mentioned alongside other elite US research and liberal arts institutions.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Peace Accords Matrix's main competitors in Non-profit: Peace Research Institute Oslo (79/100), United States Institute of Peace (71/100), Council on Foreign Relations (Global Conflict Tracker) (94/100).
Sources: Brand Analyzer scan
Peace Accords Matrix has limited AI-search visibility, scoring 26/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 21, recommendation 56). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Peace Accords Matrix official site
Peace Accords Matrix scores 56/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Peace Accords Matrix official site
Peace Accords Matrix can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Peace Accords Matrix official site
Peace Accords Matrix (PAM) is a research project and database based at the University of Notre Dame that tracks and analyzes the implementation of intrastate peace agreements. It is led by researcher Madhav Joshi and is described as providing the largest existing collection of comprehensive peace accord implementation data in the world, covering agreements from various conflicts globally, including detailed case studies such as Colombia and Mindanao.
Sources: Peace Accords Matrix official site
Peace Accords Matrix is used by researchers, policymakers, peacebuilding practitioners, and institutions involved in studying or supporting the implementation of peace agreements around the world. These users rely on PAM's data and analysis to inform academic research, policy decisions, and on-the-ground peacebuilding efforts.
Sources: Peace Accords Matrix official site
Peace Accords Matrix scores 26/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Peace Accords Matrix has a weak AI-visibility profile at 26/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (56/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Peace Accords Matrix from memory (August 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
69 in November 2026, down from 83 in August 2026.
Ranked closest to Peace Accords Matrix: National District Attorneys Association (NDAA) (69/100), Northern California Japanese Sword Club (NCJSC) (69/100), Nigerian Dairy Goat Association (NDGA) (69/100), Neurodiverse Network (69/100).
A step up - brands to learn from: Zentralwohlfahrtsstelle der Juden in Deutschland e.V. (71/100), Zoryan Institute (71/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.