Splitter AI

Splitter AI provides domain-level content splitting to support SEO teams and editors. By ingesting a domain, it identifies dominant themes, partitions pages into logical blocks, and assigns focused keywords to each block. This enables rapid topic planning, better internal linking, and clearer audience guidance. Outputs include content blocks with slugs and word counts, keyword clusters, and a hierarchical page taxonomy to inform site structure. The tool emphasizes reproducibility, allowing teams to reuse configurations across domains and track changes over time. It helps non-technical stakeholders understand how a site should be organized for search and users, while providing data-backed guidance for editors and strategists. The approach is agnostic to CMS or platform, so insights can feed content calendars, audit reports, and migration projects. Unique value lies in coupling domain-wide segmentation with actionable, exportable data that can be integrated into content workflows and performance analyses. Use cases include site audits, topical mapping for new regions, content gap analysis, and consolidation of related topics into cohesive pillar pages.