The LEGO set database and community
Brickset (brickset.com) scores 81 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Media & Entertainment brands, E-commerce brands, in the 79th percentile of 40425 Media & Entertainment brands.
Brickset is an online database and community for LEGO fans, cataloging LEGO sets, minifigures, parts, and colors. Trusted since 2000, it provides detailed set information, reviews, news, and deal tracking for LEGO enthusiasts. The site serves as a comprehensive reference resource and social hub where collectors and hobbyists can track their collections, stay informed about new releases, and connect with other fans. Brickset operates within the Media & Entertainment and E-commerce categories, positioning itself as a definitive resource for LEGO-related information.
| Brand Name | Brickset |
|---|---|
| Domain | brickset.com |
| Industry | Media & Entertainment, E-commerce |
| Founded | 2000 |
| Main Competitors | BrickLink, Rebrickable, The Brick Fan (75/100), Brick Fanatics (80/100), LEGO.com (88/100), Brothers Brick (75/100), StoneWars |
Ranked #32,702 on the Tranco list of most-visited sites - strong traffic reinforces the brand's prominence to AI models.
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 "Brickset is a database of LEGO sets and an online community of LEGO fans." (Meta description: 14 words (ideal length). 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, Twitter cards, canonical. 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: Cloudflare.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, GitHub; no detected presence on LinkedIn, 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 November 2026.
When asked "What is Brickset?", Claude could identify the brand as of November 2026. Brickset is a long-running fan database and community website that catalogs LEGO sets, including details like piece counts, minifigures, release dates, and retail prices, plus news and reviews about LEGO products. Best known for Being the most comprehensive online database and reference site for LEGO set information.
When asked "Best brands similar to Brickset?", Claude would recommend Brickset as of November 2026. It's widely regarded by LEGO fans as the go-to reference site for set data, so it naturally comes up when discussing LEGO-related resources.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Brickset's main competitors in Media & Entertainment: The Brick Fan (75/100), Brick Fanatics (80/100), LEGO.com (88/100), Brothers Brick (75/100).
Sources: Brand Analyzer scan
Brickset offers a database of LEGO sets, minifigures, parts, and colors, along with set reviews, LEGO-related news coverage, and deal tracking for LEGO products. It also provides community features that allow fans to interact and engage with one another.
Sources: Brickset official site
Brickset is an online database of LEGO sets and an online community for LEGO fans, operating since 2000. It catalogs information about LEGO sets, minifigures, parts, and colors, serving as a reference resource for collectors and enthusiasts.
Sources: Brickset official site
Brickset has limited AI-search visibility, scoring 28/100 on Brand Analyzer's AI visibility composite (visibility 21, trust 14, recommendation 59). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Brickset official site
Brickset maintains a comprehensive database covering nearly every LEGO set, minifigure, part, and color ever produced. It also provides reviews, news coverage, and deal tracking related to LEGO products, while hosting an online community where fans can interact and discuss LEGO-related topics.
Sources: Brickset official site
Brickset scores 59/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Media & Entertainment options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Brickset official site
Brickset 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: Brickset official site
Brickset is known for being one of the most comprehensive and long-standing databases of LEGO sets and minifigures, trusted by the LEGO fan community since 2000 for accurate and detailed set data.
Sources: Brickset official site
Brickset is used by LEGO fans, collectors, and hobbyists who seek detailed information about LEGO sets, minifigures, and parts. Its audience includes individuals interested in reviews, news updates, and deal tracking related to LEGO products.
Sources: Brickset official site
Brickset scores 28/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Brickset 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 (59/100) and its weakest is trust (14/100). It benefits from a global traffic rank of #32,702 (Tranco) 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 Brickset from memory (November 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 Brickset: BresciaToday (81/100), Brepols (81/100), Bridge Michigan (81/100), BRIGITTE (81/100).
A step up - brands to learn from: Yuga Labs (91/100), Yr (91/100).
Category leader: Change.org (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.