Agent-Era Website
Organize brand identity, products and services, knowledge content, and digital capabilities under your own domain, building a new-generation website that serves humans, search engines, and AI Agents at the same time.
Details →Otlume redesigns the corporate website for the Agent era, helping businesses and professionals continuously build structured, verifiable knowledge and capabilities on their own domains, so that users, search engines, and AI Agents can more easily discover, understand, and cite them. The platform starts with machine-readable content and GEO infrastructure, and keeps upgrading toward evolving Agent interaction standards such as WebMCP.
Organize brand identity, products and services, knowledge content, and digital capabilities under your own domain, building a new-generation website that serves humans, search engines, and AI Agents at the same time.
Details →Publish the facts, experience, and expertise that businesses and professionals accumulate to their own domains, forming searchable public knowledge assets organized by articles, categories, topics, tags, and entity relationships.
Details →Record AI and search crawler UA requests successfully logged by this site, plus page views with identifiable sources, helping teams observe how content is accessed.
Details →Configure a primary language and published languages per tenant, giving each language stable URLs, independent content, and consistent SEO/GEO output.
Details →A clear, four-step delivery path
Map out entity identity, products and services, people, case studies, fact sources, and professional expertise, and decide what can be published and accumulated long term.
Organize scattered material into stable pages, content units, and entity relationships, so every piece of knowledge carries clear semantics, sources, and context.
Serve readable pages, semantic HTML, structured data, and machine entry points such as sitemap, robots.txt, and llms.txt on your own domain.
Keep syncing knowledge, observing traffic, and refining machine-readable expression, and gradually expand callable capabilities toward Agent interaction standards such as WebMCP.