How Claude Works

Claude is Anthropic's AI assistant, and it has a different profile from most other surfaces in AI search. Where ChatGPT has become everybody's assistant, Claude is used to a striking degree by professionals: developers, analysts, consultants and writers working with long documents, code and careful analysis. That colors the questions it gets, and it makes Claude a surface B2B companies should not overlook, even though its user base is smaller than ChatGPT's.

Web search: Claude fetches knowledge when it lacks it

Claude can search the web as part of an answer. The mechanics are worth knowing, because they differ from a classic search engine's:

• Claude decides for itself whether to search. Ask about something stable and well documented, and the model typically answers from its training. Ask about current conditions such as prices, products, suppliers or news, and it searches and builds the answer on what it finds.
• Claude has no large search index of its own. It draws on external search indexes and then fetches the pages themselves. So you do not optimize "for Claude" the way you optimize for a search engine. You optimize for being present and unambiguous in the indexes it queries, and for being the page worth using once it reads the results.
• Answers carry source citations. When Claude builds on web content, it cites the pages it used so the user can click through. A citation here reaches an audience that is used to checking sources, and that often sits close to a decision.

Source selection: few sources, chosen with care

The clearest pattern in Claude's web answers is selectivity. Where some AI surfaces fill an answer with references, Claude typically builds on a handful of sources and is careful about what it presents as fact. Anthropic has made caution a design principle: Claude is trained to qualify rather than guess.

That has practical consequences for who gets cited:

• Precise claims beat marketing language. A page that writes "our clients typically see results after three to six months, depending on the starting point" is usable for a model that wants to stand behind its answer. A page full of superlatives without evidence is not.
• Honest caveats work in your favor. Content that names its own limitations and conditions matches the way Claude phrases things, and is easier for it to use faithfully.
• Clarity about who is speaking. A named sender, a named author and documented expertise make you easy to evaluate as a source. It is the same mechanism as E-E-A-T in classic search, with a model as the first reader.
• Semantic clarity. Claude reads pages as text, not as layout. Content that uses terms consistently, and where each section actually delivers what its heading promises, is easier to understand and to quote. That is the core of semantic SEO.

Do not forget the foundation either: Anthropic's crawlers, ClaudeBot among them, need to be able to fetch your pages. A well-meaning bot block in the CDN or in robots.txt can cost you visibility before the content is even considered, which is why crawling and indexing belongs in the same conversation.

What sets Claude apart from the other surfaces

Three things are worth carrying into your prioritization.

The audience. Claude's users are largely people doing research as part of their job, and the conversations are often long and technical. The questions read more like a consultant's than a consumer's.

The way it is used. Claude gets a lot of work analyzing material the user brings along: reports, contracts, proposals. Your content therefore also meets Claude indirectly, when a prospective customer uploads your whitepaper or your proposal and asks for an assessment. Write so the text holds up when a model reads it critically. Clear claims, clear numbers, clear caveats.

The tone. Because Claude is reluctant to overstate, it rewards sober, well documented content more than most other surfaces do.

How to approach it

Test it yourself first. Ask Claude the questions your customers would ask, with web search enabled, and look at which sources it picks and why. Then put the measurement on a system across models. The method is described in our guide to LLM monitoring. And if you want to work structurally on making your content citable across Claude, ChatGPT and the rest of the field, that is what our generative AI optimization covers.

Claude rewards what good professional content has always rewarded: precision, honesty and a sender you can trust. If you have that in place, you are already closer to a citation than most. A free SEO analysis shows you where you stand across both classic SEO and the AI surfaces.