The Library
Open Library under Content Intelligence. This is a database of all your content, which our AI indexes and evaluates. Each row is a page on your site; each column is something the platform knows about it from our AI analysis.
Standard columns
Tag values can be edited inline and in bulk for selected rows. Manage Columns shows and hides columns and sets their order. Export CSV downloads everything or the filtered view.
KPI column groups
Five collapsible column groups hold the content scores. Collapsed, each shows a score from 0 to 100, its band, the change since the previous capture and a sparkline. Expanded, it shows the underlying signals as labels.
How scores are produced
Each page is read in full and each of the twelve signals is given a three-level label by the model, using a fixed rubric. Labels map to 2, 1 or 0. A KPI’s score is the sum of its signal values divided by the maximum possible, as a percentage. A signal the model could not assess is left out of both sides rather than guessed.
An Overall bar above the grid summarises the library. Because the scoring is done by AI it is directional rather than exact: good enough to justify a recommendation and to show that work moved something, not a laboratory measurement.
If the KPI cells show an Off chip, KPI scoring has not been switched on for your workspace. Ask Demand-Genius to enable it (tom@demand-genius.com). A dash means the page has not been scored yet; a zero is a real zero.
When things refresh
Two schedules run independently. Content discovery. The crawler re-reads your sitemap on the auto-update day set for the library (see Directories), adds new pages and re-checks page status. KPI scoring. A nightly job scores pages that are due. How often a page is re-scored depends on your plan: some plans score each page once, others quarterly or monthly. A per-page Re-run action scores a single page on demand, limited to once every five minutes per page and thirty pages an hour per workspace. This is intended to let you kick off single-page rescores where you feel the AI may have hallucinated, or have updated a page and want to see if it’s improved the score, and is subject to fair usage. Scoring history is kept, which is what the deltas and trendlines draw on.Insights
Insights charts the library across its tags: Content Volume by Type, Content Volume by Topic, Publishing Frequency (how often you publish new content) and Modified Frequency (how often you refresh existing content), plus a heatmap you can pivot by Topic, Content Type, Industry, Audience, Funnel Stage or any Smart Column. This helps you see where your authority lies, and can help to contextualise AI visibility trends and identify opportunities.
Tree
Tree shows the same pages as a site hierarchy, so you can see where content sits and expand or collapse branches. It is a navigation aid rather than a report.Performance columns
If Performance is enabled for your workspace, the grid also carries a Performance group: Traffic Total and Influenced MQL / SQL / Closed Won per page, fed by the tracking script and your CRM. See Performance tracking.Next
Smart Columns
Run your own analysis across the library.
Performance tracking
Traffic and pipeline influence per page.
Directories
Add competitor libraries and set update schedules.
Troubleshooting
Missing pages, blocked crawlers, Shopify.