Tags every asset
Content Intelligence
Reads every page and asset with AI and tags theme, persona, funnel stage, and format against your taxonomy. The library becomes machine-readable without a single spreadsheet.
Deep dive →Wave Capability ยท Content Intelligence
Your library is bigger than anyone remembers and thinner than anyone admits. Wave crawls it, reads every asset, tags each one against your taxonomy, grades coverage per buying role and stage, and turns every gap into a brief. The audit never goes stale because it never stops.
Quick answer
Content That Knows Itself is Wave's content intelligence capability: it crawls your website and content sources, reads every asset with AI, tags theme, persona, funnel stage, and format against a taxonomy you control, grades the library against every buying role and journey stage, answers coverage questions in plain English, and turns every red cell in the matrix into a specific content brief.
What this capability includes
Last updated: July 2026
Why it compounds
An audit is a snapshot. A system is a loop. Wave closes the loop between what your library contains and what your buying groups need.
A tagging tool without a committee model can tell you what an asset is about. It cannot tell you the asset is missing, because missing is defined by who needs to read what, at which stage. Wave holds both sides: the tagged supply from the crawl and the demanded coverage from every buying group's curriculum. Cross them and the matrix appears, every cell graded, every red cell a brief with a role, a stage, and a theme already attached. That is why no point tool produces it: the gap only exists where content intelligence and committee intelligence meet.
Inside this capability
From raw URL to next brief, each feature hands its output to the one after it.
Tags every asset
Reads every page and asset with AI and tags theme, persona, funnel stage, and format against your taxonomy. The library becomes machine-readable without a single spreadsheet.
Deep dive →Keeps the library current
Re-crawls your site on a schedule, picks up new and changed pages, and retires gone ones, so the library stays true without anyone re-auditing.
Deep dive →Onboards any content source
Drafts the connection to a new content source, a CMS, a knowledge base, a video library, from its documentation. You preview and approve before anything ingests.
Deep dive →Grades coverage by role and stage
Crosses your tagged library with every buying group's curriculum and grades each role and stage cell. Green is covered. Red is a brief.
Deep dive →Answers coverage questions
Ask in plain English: what do we have for finance leaders late in the journey? Get the answer with the assets behind it, grounded in your own library.
Deep dive →Makes supply and demand visible
Visual analytics across themes and channels: where content is abundant, where demand outstrips supply, and where the next investment pays.
Deep dive →Why one platform
Content audits are consulting engagements that expire on delivery. Taxonomy upkeep is manual labor nobody owns. Wave makes both continuous.
FAQ
It is Wave's content intelligence capability: six features that crawl your content sources, tag every asset with AI against your taxonomy, grade coverage per buying role and stage, answer coverage questions in plain English, and visualize supply against demand, so the library maintains itself and the gaps name themselves.
Wave reads each asset and applies your taxonomy: theme, persona, funnel stage, and format. The taxonomy is yours per tenant, you can add, rename, or retire tags, and you can correct any tag on any asset. Corrections stick.
It crosses your tagged library with each buying group's curriculum and grades every role and stage combination: covered, thin, or missing. The grade is computed from what actually exists in the library, so it moves the moment new content ships or old content retires.
No. Website auto-crawl re-reads your site on a schedule, tags new and changed pages, and retires pages that are gone so they stop being recommended. The audit is a standing state, not an annual event.
Content platforms with an API, a CMS, a knowledge base, a video library, through source profiles the AI Source Profiler drafts from vendor documentation, plus CSV imports for anything else. Every profile is previewed and approved by you before a single asset ingests.
Every red cell in the matrix already names the role, the stage, and the theme that is missing. Content Gap Q&A adds the demand side in plain English, and Wave Insights shows where demand outstrips supply, so the next brief is chosen with evidence instead of instinct.
See it on your data
Book a 20-minute walkthrough. We will crawl your site, tag what we find, and show you the coverage matrix your library produces against a real committee.
Book a walkthrough