LongShot AI takes a keyword brief, fetches research signals and writes a long-form article back into WordPress as a post. The vendor owns the model and the research pull. WordPress owns the artifact: a row in wp_posts with title, status, author and date plus wp_postmeta keys describing the target keyword, fact-check status and outline mode.

The default Posts screen shows the basic columns and leaves the keyword and fact-check status buried in wp_postmeta. SleekView reads the same wp_posts rows and the same meta directly. Keyword, fact-check status and outline mode become first-class columns next to title and status. Sort by fact-check status, filter to drafts on a specific keyword, or pull every article tied to a single outline.

Inline edits route through wp_update_post, so post-save hooks still fire and any LongShot AI meta the integration reads on update stays consistent.

LongShot AI is built around the idea that AI-written long-form needs research and fact-check loops to be publishable. That loop produces structured signal that the default Posts screen does not show. Keyword target, fact-check status and outline mode sit in wp_postmeta, hidden behind a click.

SleekView reads the same wp_posts rows and the same meta and turns them into a sortable, filterable table. Fact-checkers can run their queue from the row level. SEO can scan keyword coverage across drafts.

Editorial can promote articles that passed checks in a single bulk action. The data was always written, the audit view was missing, and the integration's workflow stays untouched. The result is a faster fact-check cycle and fewer published articles with a fact-check status still set to pending.