dsh-geo

When content must be indexed by search engines and simultaneously understood, trusted, and cited by AI answer engines, keyword and metadata checks alone fall short. Enterprise Markdown vaults accumulate missing sources, stale notes, orphan pages, and duplicate titles, while traditional SEO tools cannot explain whether an answer engine can actually cite the content, nor can they govern quality at scale without risking the source files. dsh-geo brings the entire chain back to local execution: core analysis runs through the Harness filesystem service, so private product docs and internal knowledge never need to be sent to a third-party SaaS.

Core capabilities span the full diagnose-to-ship loop. For a single note or an entire vault, it inspects source provenance, freshness, citation structure, metadata gaps, and knowledge-graph breaks item by item, producing structured reports with evidence, scores, and priorities rather than a single opaque grade. It then generates a content brief covering audience, intent, outline, question mapping, and source gaps, and builds a qualitative keyword plan from local knowledge-base titles, entities, and query signals, explicitly refusing to fabricate search volumes. A four-stage production flow (diagnose, map, draft, verify) turns findings into previewable, version-guarded Markdown replacements with safe creation of new notes. On the backlink side, it offers candidate filtering, idempotency keys, manual submission preparation, and outcome recording, defaulting to read-only preflight rather than mass posting.

It suits product teams publishing for both search and AI engines, enterprises needing scalable governance of Markdown knowledge bases, engineers responsible for technical documentation discoverability, and agencies running consistent, auditable reviews across multiple clients and brands without exposing the source vault to any third party. It does not replace Search Console, PageSpeed, or paid keyword-volume tools; instead, it folds those external signals into manual comparison workflows so every optimization cycle is traceable and reproducible.