Claude
The technical-buyer AI you can't ignore
Claude (Anthropic) is the AI of choice for developers, technical buyers and professional-services teams. While its raw user count trails ChatGPT, its commercial-decision influence in B2B is disproportionately high.
Quick facts
Why Claude matters for B2B brands
Claude is overrepresented in technical workflows: code review, documentation lookup, comparison research for SaaS / dev tools, contract analysis. The buyer profile skews more senior and more technical than ChatGPT's. This means a Claude citation in a B2B context is often higher commercial value than a ChatGPT mention with similar content.
What's distinctive about Claude
- **Explicit `llms.txt` support.** Claude reads and respects llms.txt. Shipping one signals which pages should be authoritative for your brand.
- **Primary-documentation bias.** Claude prefers citing official docs over secondary articles. Make sure your `/docs/`, `/api/` and `/changelog/` are indexable and well-structured.
- **Long-context reasoning.** Claude pulls broader context windows than other engines, meaning it can use longer pages effectively. Don't over-truncate.
- **Conservative on hallucination.** Claude is more likely to say „I don't know" than to fabricate, which means thin entity presence shows up as absence rather than wrong information.
Optimisation playbook
- Allow `ClaudeBot` and `anthropic-ai` in robots.txt.
- Ship a `/llms.txt` curating your authoritative pages.
- Maintain `/docs/` with clear hierarchy and Article / TechArticle schema.
- Add Person schema to author profiles, link to LinkedIn and academic citations where applicable.
- Test: ask Claude direct questions about your brand, your features, your pricing. Where it says „I don't know", that's a presence gap.
How GEOnative helps
GEOnative tracks Claude visibility daily — separate from ChatGPT, with prompt sets tuned for technical-buyer queries. Critical for B2B SaaS brands.
Try GEOnative →FAQ
Does Claude have a search function?
Should I prioritise Claude over ChatGPT?
What is `llms.txt` again?
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