Definition
What this term means
Anthropic's AI assistant, designed with a strong emphasis on safety, accuracy, and helpfulness. Claude is known for its nuanced reasoning, careful handling of sensitive topics, and willingness to express uncertainty rather than fabricate answers. It is widely used in enterprise contexts, research, coding, and professional services, particularly in scenarios where accuracy and reliability are paramount.
Why it matters
The business impact
Claude's growing adoption in enterprise and professional settings makes it an important platform for B2B brand visibility. Its emphasis on accuracy means it tends to be more selective about which sources it cites and recommends, favouring well-structured, authoritative content with verifiable claims. Brands that invest in high-quality, evidence-based content are disproportionately rewarded with Claude citations.
Used in context
How you might use this term
“A consulting firm tested their brand visibility across Claude's responses to industry-specific queries. They found that Claude cited their research papers and case studies more frequently than generic marketing content, validating their investment in original, evidence-based thought leadership as an AI visibility strategy.”
Related terms
Explore connected concepts
LLM
A type of artificial intelligence model trained on vast datasets of text to understand, generate, and reason about human language. LLMs power the AI assistants and generative search tools, including ChatGPT, Google Gemini, Claude, and Perplexity, that are rapidly becoming the primary way people discover products, services, and information online.
Conversational AI
AI systems designed to engage in natural, human-like dialogue, including chatbots, voice assistants, and AI search interfaces. Conversational AI encompasses everything from simple FAQ bots to sophisticated assistants like ChatGPT, Siri, and Alexa that can understand context, follow multi-turn conversations, and provide personalised recommendations based on user intent.
AI Safety
The field of research and practice focused on ensuring AI systems operate safely, ethically, and reliably, without producing harmful, biased, or misleading outputs. AI safety encompasses content filtering, hallucination prevention, bias detection, adversarial robustness, and alignment with human values. All major AI platforms implement safety measures that influence which content they are willing to cite and recommend.