The social intelligence layer for traders
LunarCrush (lunarcrush.com) scores 77 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Finance brands, Technology brands, SaaS brands, in the 52nd percentile of 10391 Finance brands.
LunarCrush is a social media analytics platform that tracks real-time social intelligence for cryptocurrencies, stocks, prediction markets, and viral trends. It analyzes millions of social conversations to produce actionable metrics that reveal sentiment and market-moving trends. The platform positions itself as a signal layer connecting social data with financial markets, serving traders, investment funds, financial analysts, and AI agent developers who seek data-driven insight into market sentiment. It operates within the finance, technology, and SaaS categories.
| Brand Name | LunarCrush |
|---|---|
| Domain | lunarcrush.com |
| Industry | Finance, Technology |
| Main Competitors | Santiment (81/100), The TIE (76/100), Messari (79/100), IntoTheBlock (74/100), Nansen (80/100), StockTwits (81/100) |
Moz Domain Authority 40/100 vs category average 40 / leader 95 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #285,983 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
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 "The social media analytics platform powering smarter trades. Track real-time social intelligence for cryptocurrencies, stocks, prediction markets and viral trends." (Meta description: 20 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 4 JSON-LD block(s), Organization 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.
Social footprint: verified profiles on X (Twitter), LinkedIn, Facebook, Instagram, YouTube; no detected presence on 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 September 2026.
When asked "What is LunarCrush?", Claude could identify the brand as of September 2026. LunarCrush is a social analytics platform that tracks and measures social media activity and sentiment around cryptocurrencies, giving traders and investors data on how coins are trending across platforms like Twitter/X and Reddit. Best known for Crypto social sentiment and engagement analytics.
When asked "Best brands similar to LunarCrush?", Claude would recommend LunarCrush as of September 2026. It's a well known and fairly unique tool specifically for gauging crypto social buzz, so it would come up naturally in that niche.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
LunarCrush's main competitors in Finance: Santiment (81/100), The TIE (76/100), Messari (79/100), IntoTheBlock (74/100), Nansen (80/100).
Sources: Brand Analyzer scan
LunarCrush is a social media analytics platform that provides real-time social intelligence for cryptocurrencies, stocks, prediction markets, and viral trends. It is designed to help traders and investors understand what is being discussed online about specific assets, translating social conversation data into actionable market signals.
Sources: LunarCrush official site
LunarCrush has limited AI-search visibility, scoring 33/100 on Brand Analyzer's AI visibility composite (visibility 5, trust 56, recommendation 56). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: LunarCrush official site
LunarCrush analyzes millions of social media conversations in real time to generate social metrics and sentiment data across crypto, stocks, and prediction markets. It tracks what people are saying online about specific coins, stocks, and trends, and converts that information into signals that traders, funds, and AI agents can use to inform trading decisions.
Sources: LunarCrush official site
LunarCrush scores 56/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Finance options. Recommendation depends on crawlability, structured data, and category authority.
Sources: LunarCrush official site
LunarCrush 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: LunarCrush official site
LunarCrush offers a social media analytics platform delivering real-time social intelligence and metrics for cryptocurrencies, stocks, and prediction markets. Its services include tracking viral trends and social conversations, and providing data feeds or tools that support AI agent developers and financial analysts who need social sentiment data for trading strategies.
Sources: LunarCrush official site
LunarCrush is used by crypto and stock traders, investment funds, financial analysts, and AI agent developers who rely on real-time social sentiment data to inform trading and investment strategies.
Sources: LunarCrush official site
LunarCrush is known for being a social media analytics platform that bridges social sentiment data with financial markets, particularly cryptocurrency. It is recognized for tracking real-time social conversations and converting them into metrics that traders use to gauge sentiment and identify viral trends across crypto, stocks, and prediction markets.
Sources: LunarCrush official site
LunarCrush scores 33/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
LunarCrush has a weak AI-visibility profile at 33/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is trust (56/100) and its weakest is visibility (5/100). It benefits from a global traffic rank of #285,983 (Tranco), a Moz Domain Authority of 40/100 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 and no strong Wikidata entry. In a live check, Claude could already identify LunarCrush from memory (September 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 LunarCrush: Lumi (77/100), Loop Capital (77/100), Macif (77/100), Main Street Capital (77/100).
A step up - brands to learn from: Zurich Insurance Group (81/100), Zoya (81/100).
Category leader: TradingView (97/100).
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