From measuring AI visibility to improving the source
CitePulse and SharpSchema address two different parts of the same problem. CitePulse asks AI systems the questions a potential buyer might ask, then measures which companies and sources appear in their answers. That gives a company a baseline and reveals gaps. A measurement alone, however, does not improve the information available to those systems.
SharpSchema is designed for the next step. It turns verified company knowledge into public pages backed by sources, with structured data that matches the visible content. Claims need evidence; automated checks and human review sit before publication. When a source changes, affected content should return for review instead of remaining stale.
What a customer gains
A clearer, maintainable explanation of what the company actually does: one that people can read and machines can parse. The workflow can reduce fragmented facts, unsupported claims and content that ages without anyone noticing. It cannot force an AI system to cite or recommend a company; those decisions remain outside the product's control.
CitePulse is live. SharpSchema is nearing its first customer testing series in November 2026. See SharpSchema and early access or read how CitePulse measures AI visibility.
Why materials and tooling belong to one project case
An industrial project rarely ends with finding a material in a catalog. Engineers also need to compare alternatives, explain the application to suppliers and, sometimes, coordinate tooling. Material choice affects tool design, while tooling constraints can change the material shortlist.
That is why the planned GeoFlow Material Hub is being designed around a shared project case. The case keeps the technical and business context together, while material and future tooling requests can follow separate paths. A qualified request should carry enough information for a relevant supplier to assess the opportunity, with controlled disclosure of sensitive details.
Material discovery and supplier requests are the first commercial direction. Tooling is part of the target architecture and will be introduced in stages. The platform is planned for 2027; these workflows describe the product direction, not functionality available today.