The community for AI and data science
SIGKDD (kdd.org) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Technology brands, Education brands, Non-profit brands, in the 50th percentile of 43579 Technology brands.
SIGKDD is the Association for Computing Machinery's (ACM) special interest group dedicated to knowledge discovery and data mining. It advances the fields of knowledge discovery, data science, and artificial intelligence through research initiatives, academic conferences, and community engagement. SIGKDD is best known for organizing the KDD conference, a leading global event for researchers and practitioners, and for awarding recognitions that honor innovation and achievement in data mining and related disciplines. It serves as a professional hub connecting academics and industry professionals worldwide.
| Brand Name | SIGKDD |
|---|---|
| Domain | kdd.org |
| Industry | Technology, Education |
| Parent Company / Owner | Association for Computing Machinery (ACM) |
| Main Competitors | NeurIPS Foundation (75/100), AAAI (86/100), IEEE Computer Society (83/100), ACM SIGMOD (65/100), INFORMS (73/100) |
Moz Domain Authority 60/100 vs category average 40 / leader 100 - a strong backlink profile, so AI systems frequently 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 "To advance the field of knowledge discovery, data science, and AI through research, conferences, and community engagement." (No meta description) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: No structured data or Open Graph tags detected. Adding Organization and 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: PHP.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, YouTube, GitHub; no detected presence on Facebook - 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 SIGKDD?", Claude could identify the brand as of October 2026. SIGKDD is the Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining, which organizes the annual KDD Conference, one of the premier academic conferences on data mining, machine learning, and big data analytics. Best known for Organizing the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, a top-tier research venue in data science and machine learning.
When asked "Best brands similar to SIGKDD?", Claude would recommend SIGKDD as of October 2026. If someone asks about leading data mining or machine learning research organizations and conferences, SIGKDD is a natural and relevant mention.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
SIGKDD's main competitors in Technology: NeurIPS Foundation (75/100), AAAI (86/100), IEEE Computer Society (83/100), ACM SIGMOD (65/100), INFORMS (73/100).
Sources: Brand Analyzer scan
SIGKDD offers conferences (most notably the KDD conference), professional awards recognizing innovation in knowledge discovery and data mining, and community engagement opportunities for researchers and practitioners in the field.
Sources: SIGKDD official site
SIGKDD is ACM's special interest group focused on knowledge discovery and data mining. It functions as a global professional community that supports research, conferences, and collaboration in data science and artificial intelligence.
Sources: SIGKDD official site
SIGKDD has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 37, recommendation 45). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: SIGKDD official site
SIGKDD advances the fields of knowledge discovery, data science, and AI by organizing research-focused conferences, facilitating community engagement among researchers and practitioners, and recognizing significant contributions to the field through awards.
Sources: SIGKDD official site
SIGKDD scores 45/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: SIGKDD official site
SIGKDD is best known for organizing the KDD conference, one of the most prominent international gatherings for researchers and practitioners in knowledge discovery and data mining, as well as for its prestigious awards recognizing innovation in the field.
Sources: SIGKDD official site
SIGKDD 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: SIGKDD official site
SIGKDD is used by researchers, data scientists, AI practitioners, and academics involved in knowledge discovery and data mining who participate in its conferences, submit research, and engage with its professional community.
Sources: SIGKDD official site
SIGKDD is popular because it unites leading researchers and practitioners worldwide through its flagship KDD conference and associated awards, making it a central hub for advancing knowledge discovery and data mining research.
Sources: SIGKDD official site
SIGKDD scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
SIGKDD has a weak AI-visibility profile at 28/100 - 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, a Moz Domain Authority of 60/100 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, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify SIGKDD 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 SIGKDD: KCD Software (77/100), KAYA (77/100), Keet Health (77/100), Kelly Science & Clinical (77/100).
A step up - brands to learn from: Zymo Research (81/100), Zurich Italia (81/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.