Building safe AGI to accelerate progress
Magic (magic.dev) earns a Brand Analyzer score of 71 out of 100, placing it in the Brand-Ready tier among Technology brands, SaaS brands. Among 9683 Technology brands analyzed, Magic ranks in the 61st percentile (category average 69, leader 97). 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. Dimension scores: Name Quality 100/100, Digital Presence 82/100, Visual Identity 83/100, Messaging Clarity 95/100, Trust Foundation 61/100, AI Discoverability 51/100, Brand Authority 40/100.
Magic (magic.dev) is an AI company focused on building safe artificial general intelligence (AGI) to automate software engineering and AI research. The company combines frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and inference-time compute in its technical approach. Magic targets top engineers and researchers in the AGI and AI safety space, positioning itself as a pioneer in safe AGI development through advanced code models.
| Brand Name | Magic |
|---|---|
| Domain | magic.dev |
| Industry | Technology, SaaS |
| Main Competitors | OpenAI (95/100), Anthropic (93/100), DeepMind (83/100), Cognition AI, GitHub Copilot (96/100), Cohere (86/100) |
Moz Domain Authority 35/100 vs category average 29 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,030,943 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
Magic appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "Magic is an AI company that is working toward building safe AGI to accelerate humanity’s progress on the world’s most important problems." (Meta description: 22 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. 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.
Social footprint: verified profiles on LinkedIn, Facebook, YouTube, GitHub; no detected presence on X (Twitter), Instagram - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Magic scores 29/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Magic 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 visibility (35/100) and its weakest is trust (19/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #1,030,943 (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, a low Moz Domain Authority of 35/100 and thin schema.org structured data.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Magic's main competitors include OpenAI, Anthropic (93/100), DeepMind, Cognition AI, GitHub Copilot (96/100). These companies compete in the Technology space for similar customers, offering comparable products or services.
Sources: Magic official site
Magic and GitHub Copilot are competitors in Technology. Brand Analyzer scores Magic at 71/100 and GitHub Copilot at 96/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Magic official site
Popular alternatives to Magic include OpenAI, Anthropic (93/100), DeepMind, Cognition AI, GitHub Copilot (96/100). Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.
Sources: Magic official site
Magic is an AI company operating at magic.dev that is working toward building safe artificial general intelligence (AGI). It positions itself as a pioneer in safe AGI development, focusing on advanced code models and the automation of AI research. The company falls within the Technology and SaaS categories and targets top engineers and researchers who are passionate about AGI, AI safety, and frontier AI research.
Sources: Magic official site
Magic has limited AI-search visibility, scoring 29/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 19, recommendation 32). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Magic official site
Magic develops AI systems aimed at automating software engineering and AI research. It combines frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and inference-time compute to build its models. The company's stated goal is to improve AI models and solve alignment more reliably than humans, while accelerating humanity's progress on what it describes as the world's most important problems.
Sources: Magic official site
Magic scores 32/100 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; a Wikipedia presence helps.
Sources: Magic official site
Magic 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: Magic official site
Based on the known facts, Magic offers AI-driven products and services centered on automating software engineering and AI research. Its technical offerings incorporate frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context capabilities, and inference-time compute. The company develops advanced code models as part of its AGI development work. Specific product names or detailed service tiers are not described in the available information.
Sources: Magic official site
According to the known facts, Magic's target audience consists of top engineers and researchers who are passionate about AGI, AI safety, and frontier AI research. The company appears to focus on a highly specialized, technically advanced user base rather than a general consumer market. This suggests its primary users are professionals working on or deeply interested in cutting-edge artificial intelligence development and safety research.
Sources: Magic official site
Magic is known for its pursuit of safe AGI development and its technical approach to automating code generation and AI research. The company is recognized for combining frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context windows, and inference-time compute in its AI models. It is also noted for its focus on AI safety and alignment as central components of its AGI development mission.
Sources: Magic official site
Ranked closest to Magic: MachineQ (71/100), Machina Labs (71/100), Manifest Climate (71/100), MapMyCrop (71/100).
A step up - brands to learn from: Zyte (81/100), Zimmer Biomet (81/100).
Category leader: Accenture (97/100).