Understanding data and ourselves
FlowingData (flowingdata.com) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Media & Entertainment brands, Education brands, Technology brands, in the 39th percentile of 19035 Media & Entertainment brands.
FlowingData is a media and education website focused on data analysis and visualization. It combines expert commentary, tutorials, and curated examples to make statistics and data visualization accessible to a broad audience, including professionals and casual learners. The site explores how data analysis and visualization help people understand both the world and themselves, blending practical tools with teaching resources and thoughtful commentary.
| Brand Name | FlowingData |
|---|---|
| Domain | flowingdata.com |
| Industry | Media & Entertainment, Education |
| Main Competitors | Information is Beautiful (77/100), Visual Capitalist (79/100), The Pudding (83/100), Towards Data Science (81/100), Observable (70/100) |
Moz Domain Authority 82/100 vs category average 53 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #50,195 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
FlowingData appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "FlowingData" (Meta description too short (1 words). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare, WordPress, Ghost.
Social footprint: verified profiles on GitHub, Instagram, X (Twitter); no detected presence on LinkedIn, Facebook, YouTube - 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 FlowingData?", Claude could identify the brand as of October 2026. FlowingData is a blog run by statistician Nathan Yau that focuses on data visualization, statistics, and design, featuring tutorials, examples, and commentary on how to visually represent data. Best known for Data visualization tutorials and examples curated by Nathan Yau.
When asked "Best brands similar to FlowingData?", Claude would recommend FlowingData as of October 2026. It's a well-respected, long-running resource for anyone interested in data visualization and statistical graphics, often cited alongside other top data viz sites.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
FlowingData's main competitors in Media & Entertainment: Information is Beautiful (77/100), Visual Capitalist (79/100), The Pudding (83/100), Towards Data Science (81/100), Observable (70/100).
Sources: Brand Analyzer scan
FlowingData has limited AI-search visibility, scoring 36/100 on Brand Analyzer's AI visibility composite (visibility 28, trust 44, recommendation 42). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: FlowingData official site
FlowingData scores 42/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: FlowingData official site
FlowingData is a website dedicated to exploring data analysis and visualization. It functions as both a media outlet and educational resource, offering commentary, tutorials, and curated examples that examine how data helps people understand the world and themselves.
Sources: FlowingData official site
FlowingData provides commentary, tutorials, and curated examples related to data visualization and statistics. It helps readers learn practical skills for creating visualizations, analyzes trends in how data is used across society, and highlights notable examples of data storytelling.
Sources: FlowingData official site
FlowingData 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: FlowingData official site
FlowingData offers educational content including tutorials, expert commentary, and curated examples related to data visualization and statistics, aimed at helping users learn and improve their analytical and design skills.
Sources: FlowingData official site
FlowingData is used by data enthusiasts, statisticians, designers, journalists, educators, and professionals who want to learn about or improve their data visualization and analytical skills.
Sources: FlowingData official site
FlowingData is known for making data visualization and statistics accessible and engaging through expert commentary, practical tutorials, and curated examples that connect data analysis to everyday life.
Sources: FlowingData official site
FlowingData scores 36/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
FlowingData has a weak AI-visibility profile at 36/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (44/100) and its weakest is visibility (28/100). It benefits from a global traffic rank of #50,195 (Tranco), a Moz Domain Authority of 82/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify FlowingData from memory (October 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.
Ranked closest to FlowingData: Flibusta (75/100), Éditions Flammarion (75/100), Fnac Darty (75/100), FNNプライムオンライン (75/100).
A step up - brands to learn from: Zoom (81/100), Zeno Group (81/100).
Category leader: Change.org (97/100).
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