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Claude AI is an artificial intelligence assistant from Anthropic that can help users write, analyze documents, conduct research, code, and complete various text-based tasks.
For a company, Claude is also relevant as an information search channel. With its web search capability, Claude can retrieve information from the internet and provide citations to the sources it uses. That being said, businesses should try to understand how Claude works to get cited in its answers.
When a prospective customer uses AI to search for information, compare service providers, or consider a product, brands with information that's easy to find and verify are more likely to show up in AI-generated answers. So, is Claude AI the best at providing that answer? For the full discussion, read this article!
Claude AI is a generative AI platform developed by Anthropic to help users understand instructions and generate responses based on the context provided.
Claude uses a large language model (LLM) and can be used for a variety of needs, such as writing and editing content, analyzing documents, conducting research, and assisting with work that requires coding.
These capabilities allow Claude to handle everything from simple tasks to work that requires processing large amounts of information.
The way Claude AI works is broadly similar to other AI platforms. At a high level, the process can be understood in two main steps: first, Claude analyzes the user's prompt, then it generates a response based on the context and patterns learned during training.
Powered by a large language model (LLM) built on a transformer architecture, Claude can understand relationships between words, concepts, and information within a given context. So, how does this process work in practice? Here's a complete explanation:
Claude is trained on large amounts of data, including text and code, allowing it to recognize language patterns and understand the context of instructions. The model also uses a deep learning architecture called the transformer to process the relationships between words and information in text.
In addition, Claude is equipped with a context window that allows this AI model to process large amounts of information, such as long documents or complex conversations, with a context limit that can affect the model's performance.
When it receives an instruction, Claude predicts the next part of the response based on the available context. According to Claude, this process is related to concepts such as next-token prediction, knowledge, working memory, steerability, and the context limit.
Claude is also equipped with Constitutional AI, a set of principles that help guide its responses to be more helpful, honest, and safe. This approach is part of how Anthropic develops and aligns Claude's models.
Claude helps users work through tasks that involve multiple stages, while retaining the context of the instructions and information given. This ability allows Claude to be used for work such as analyzing documents, conducting research, writing, and even assisting with coding.
Here is how to use Claude AI to optimize your business, including:
These capabilities also relate to how Claude finds information when users need answers that require sources from the web. That's why it's important to look at how that source-selection process works.
As a business owner, you likely want your company to become a reference, or even get cited as a recommendation, when customers search for something through Claude. So, how does a business get cited by Claude? Here's how Claude chooses which sources to cite:
According to an analysis by Oltre AI, Claude Research pulls web results directly from Brave Search. This means a page's visibility on Brave can affect its chances of being considered by Claude.
Of the 2,170 URLs analyzed, only about 3% were homepages. This shows that Claude more often uses article pages or specific pages as citation sources.
As many as 56% of the URLs in the dataset fall under the /blog/ path. This pattern shows that blog articles and informational pages make up a significant part of the sources Claude cites.
Oltre AI also noted the importance of pages with a clear, easy-to-understand structure. Headings, specific definitions, and dated information all help make content easier to extract and verify.
So, what does this mean for website owners?
This pattern shows that businesses shouldn't rely on their homepage alone. Pages that dive deep into questions, use cases, comparisons, or specific topics also need to be optimized to become more relevant sources, making it easier to earn citations from Claude.
This pattern raises the next question: what does a website page need to look like for its information to be easier for Claude to use as a source?
Website page characteristics are an important consideration in AI search. While relevance to the user's query matters, the structure of a page and the way its information is presented can also determine how easily AI systems can discover, understand, and reference its content.
Claude tends to favor pages that answer a question directly, especially when the key information appears near the top of the page, for example, through query fan-out.
In this regard, using descriptive headings, tables, lists, specific data, and information about when the content was last updated can help clarify the structure and context of the information. That said, these elements are no guarantee that a page will be used as a citation by Claude.
For that reason, a website page shouldn't consist of promotional claims alone. Information such as service definitions, scope of work, supporting data, experience, and reference sources also needs to be presented clearly, so that each section of the page can serve as an informative answer with the potential to be cited by Claude.
Conventional SEO signals are still relevant for building a website's visibility, but they can't be treated as a guarantee that a page will be cited by Claude. That's because AI retrieval can draw on a range of sources and weighs how relevant the information is to the context of the question.
Some examples include:
In other words, an optimization strategy for Claude needs to look beyond traditional SEO signals. Semantic relevance to the context of the question, the structure and completeness of the information, source credibility, and the website's technical accessibility all need attention too.
Ultimately, no single characteristic can guarantee that a website will be cited by Claude. An AI search strategy is better built by combining a solid technical foundation, relevant and well-structured content, and credible information sources.
Read also: What Is Answer Engine Optimization? A Guide to Optimizing Business
Optimizing your content to earn AI citations from Claude needs to cover both technical aspects and content quality. Beyond making sure the website is accessible to crawlers, the way information is organized also needs to be structured so it's easy for AI systems to find, understand, and verify. Here are the optimization steps you can apply:
Check your robots.txt rules to make sure the relevant Anthropic crawlers aren't blocked. Claude-SearchBot and Claude-User are involved in web search and usage, while ClaudeBot is used for training data collection. Since they serve different functions, access settings should be adjusted according to your website's needs.
Start every key section with information that directly answers the user's question. Use descriptive H2 and H3 headings, concise paragraphs, and tables or bullet points whenever that format makes the information easier to understand.
Place key information in readable HTML and avoid relying too heavily on JavaScript to display important content. A simple page structure helps information get found and processed more easily by the system.
Use data, figures, dates, definitions, source names, or supporting evidence wherever relevant. Specific and verifiable information provides clearer context than general claims.
Freshness signals, semantic HTML, and an easily extractable information structure can also factor into the technical considerations when optimizing content for AI search.
Make sure your brand name, products, services, and business category are used consistently. Clear, non-conflicting information helps strengthen the AI's understanding of the entity being discussed.
For important claims, include primary sources or credible references. Data, research, regulations, statistics, and other factual information should be traceable back to their original source to boost your content's credibility.
If you use llms.txt, treat it as a supporting element, not a guarantee of citation. Crawlability, indexation, content structure, and information quality should still remain a core part of your optimization.
After optimization, you also need to track whether your brand appears for relevant queries, which pages get cited, and how your brand is represented on AI platforms. These results can help you determine which parts need updating or strengthening.
If you want to know where your brand currently stands in AI Visibility, cmlabs can help with a free AI Visibility Audit, no contract required, and it will be completed within 3 business days. This audit offers a starting point for understanding how your brand appears on various AI platforms and where improvements are still needed.
Once you know your starting point, your business can try AI Search Optimization (GEO/AEO) Services by cmlabs to boost visibility across the AI platforms you're targeting, including Claude.
At cmlabs, this AI search optimization process is highly personalized, as we understand that each AI can have different information sources, retrieval/grounding mechanisms, and ways of processing information.
In GEO/AEO services, you will get high-impact strategies, including:
If you'd like to learn more about the full scope of our services, feel free to contact our team to discuss your needs and the right AI Search Optimization strategy for your business. Don't wait any longer and take your first step now!
Read also: What Is Answer Engine Optimization? A Guide to Optimizing Business
Risca Fadillah
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