Data pro lepší Česko
PAQ Research (paqresearch.cz) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Non-profit brands, Education brands, Government brands, in the 32nd percentile of 14856 Non-profit brands.
PAQ Research is a Czech independent research non-profit organization founded in 2021 and headquartered in Prague, led by CEO Daniel Prokop. It conducts data-driven analysis aimed at understanding societal problems in the Czech Republic and designing key reforms in education, social mobility, and public administration. Its work targets policymakers, government institutions, journalists, academics, and the general public interested in social and educational reform.
| Brand Name | PAQ Research |
|---|---|
| Domain | paqresearch.cz |
| Industry | Non-profit, Education |
| Founded | 2021 |
| Headquarters | Prague |
| CEO | Daniel Prokop |
| Main Competitors | IDEA CERGE-EI, STEM, CVVM, Median (58/100) |
Moz Domain Authority 39/100 vs category average 49 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
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 "Přinášíme data k pochopení problémů Česka a designu klíčových reforem. Usilujeme o kvalitní vzdělávání, větší sociální mobilitu a funkční stát. Jsme výzkumná nezisková organizace P…" (Meta description: 26 words (ideal length). OG description present and descriptive) - 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.
Content is CS-only, limiting citation in English-language AI answers.
Detected tech stack: Express, Ghost.
Social footprint: verified profiles on Instagram, LinkedIn, X (Twitter), Facebook, YouTube, 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 October 2026.
When asked "What is PAQ Research?", Claude could not identify the brand as of October 2026. I don't genuinely recognize PAQ Research, likely because it's a small or niche Czech non-profit organization with limited international visibility in my training data.
When asked "Best brands similar to PAQ Research?", Claude would not surface PAQ Research as of October 2026. I can't vouch for or recommend an organization I don't have verified information about.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
PAQ Research is a Czech independent research non-profit organization (NGO) founded in 2021 and based in Prague. It focuses on sociological and policy-oriented research aimed at understanding societal problems in the Czech Republic.
Sources: PAQ Research official site
PAQ Research has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 39, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: PAQ Research official site
PAQ Research was founded in 2021. PAQ Research operates in the Non-profit category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
PAQ Research is headquartered in Prague. PAQ Research operates in the Non-profit category.
Sources: Wikidata
PAQ Research conducts data-driven analysis and research on social issues in the Czech Republic, particularly in education, social mobility, and public administration. It uses this research to inform the design of public policy reforms, working to make findings accessible to policymakers, journalists, and the public.
Sources: PAQ Research official site
PAQ Research scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority.
Sources: PAQ Research official site
PAQ Research offers data-driven research, analyses, and studies on topics such as education, social mobility, and public administration in the Czech Republic. These outputs are intended to support the design of public policy reforms.
Sources: PAQ Research official site
PAQ Research 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: PAQ Research official site
PAQ Research's work is used by public policy makers, government institutions, journalists, academics, and members of the general public interested in social and educational reforms in the Czech Republic.
Sources: PAQ Research official site
PAQ Research is known for its data-based studies on Czech social and educational systems, aiming to support evidence-based public policy reforms. It is recognized as an independent voice in Czech policy research, led by sociologist Daniel Prokop.
Sources: PAQ Research official site
PAQ Research scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
PAQ Research has a weak AI-visibility profile at 29/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (45/100) 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, a low Moz Domain Authority of 39/100 and no llms.txt to steer AI to its best pages. In a live check (October 2026), Claude could not identify PAQ Research from memory, confirming the gaps above.
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.
Ranked closest to PAQ Research: Panos Pictures (73/100), Palazzo Grassi - Punta della Dogana (73/100), Parapsychological Association (73/100), Der Paritätische (73/100).
A step up - brands to learn from: Zero Project (81/100), Youth Villages (81/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.