Do we have to replace our existing DAM or MAM systems?

No. Fluree creates a unified intelligence layer over your existing DAM, MAM, CMS, and archive systems. Content stays where it is; Fluree enriches it in place with governed metadata.

How is this different from generic AI tagging tools?

Generic AI tagging tools return inconsistent labels that don’t map cleanly to your business vocabulary. Fluree tags against your controlled taxonomy — editorial terms, advertiser categories, and compliance logic — managed by your taxonomy team in ITM.

How fast can we process our archive?

Fluree can process 100,000+ assets in 24 hours. Most media organizations have searchable, governed content in days, with full production deployment typically within 30 days.

Can we control our own taxonomies?

Yes. Fluree ITM gives taxonomy teams full control over vocabularies, terms, and classification rules. Updates reflect across tagged content and integrated systems — no re-tagging project required.

How does Fluree handle brand safety?

AI agents continuously monitor content against your brand-safety rules. When a new issue emerges, you can identify every affected asset across your entire library in seconds and act immediately.

Do ad sales teams need technical training?

No. Revenue teams search in plain English, package matching assets, and move deals forward without learning a tagging syntax or query language.

How does cross-vocabulary alignment work?

Content tagged against your editorial taxonomy is automatically cross-referenced to advertiser and compliance taxonomies through ITM, so assets stay findable from every commercial perspective.

What formats does Fluree support?

Video, audio, text, images, PDFs, web content, and complex documents. CAM processes them through one AI pipeline and tags everything against the same governed vocabulary.

Turn your archive into your best revenue stream.

Your content library holds decades of premium assets that are invisible to advertisers — untagged, unsearchable, impossible to package. Fluree auto-tags video, audio, text, and images against your controlled taxonomy at scale. What was buried becomes your most sellable inventory.

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Trusted by publishing & media leaders

What Is Content Monetization

Your content already has the value — Fluree makes it sellable.

A Head of Ad Sales asks for inventory tied to a precise brief: "family-safe road trip scenes for an automotive summer campaign." The content exists — but it’s scattered across video, audio, text, images, and archives with inconsistent metadata. By the time the content team assembles a package, the seasonal window is closing.

Fluree CAM processes every format through your controlled taxonomy — extracting entities, concepts, themes, and relationships against editorial, advertiser, AND brand-safety vocabularies in ITM. Not generic keyword tagging: semantically connected metadata that understands context.

Revenue teams search in plain English and find exactly what they need — in seconds, with fit scores and brand-safety status attached.

How it works

Three steps.
One platform.

From a raw source to a governed knowledge graph — with answers that trace back to the row they came from.

Connect any source.

CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.

The graph builds itself.

Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.

Answers, with receipts.

Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.

What Fluree Unlocks For Revenue Teams

Six capabilities no MAM, DAM, or generic-AI service
gives you on its own.

Tags align to your editorial, advertiser, and compliance vocabularies

Commodity models return inconsistent labels that don’t map to your business. Fluree tags against the controlled vocabularies your taxonomy team manages in ITM — not “person” and “outdoor scene,” but your editorial terms, advertiser categories, and brand-safety rules.

Editorial, advertiser, and compliance taxonomies in one system
Updates in ITM propagate across tagged content
Commercial logic, not random labels

Revenue teams search in plain English — no tagging syntax required

A sales lead asks: “outdoor wellness clips, family audience, excluding extreme sports.” The system understands the nuance and returns matching inventory with fit scores and brand-safety status — ready to package, no content-team handoff required.

Plain-English queries across every format
Fit scores and rights status in-line with results
Speed-to-deal measured in minutes, not days

When news breaks, affected content surfaces instantly

AI agents continuously evaluate tagged content against your brand-safety rules. When a celebrity scandal or breaking event changes what’s runnable, you identify every affected asset across the library in seconds — protecting advertiser trust and premium placements.

Continuous evaluation against your safety rules
Impact list across every asset, in seconds
Protect CPMs and advertiser relationships during fast-moving events

Brief in, package out — with fit scoring, not fuzzy similarity

An advertiser brief with nuanced context (audience, themes, exclusions, window) maps to inventory via the knowledge graph. Results are scored for semantic fit, not just keyword overlap — so revenue teams close contextual packages at premium CPMs instead of falling back to generic runs.

Nuanced context matching — not keyword overlap
Fit scores on every candidate package
Premium CPMs for contextual placements

Editorial, advertiser, and compliance taxonomies stay aligned

Content tagged against your editorial taxonomy auto-aligns to advertiser and compliance vocabularies through ITM — so one asset is findable from every commercial perspective without re-tagging projects. When vocabularies evolve, the mappings evolve with them.

Editorial ↔ advertiser ↔ compliance mappings
No re-tagging when vocabulary changes
Multilingual alignment included

Side by Side

Manual & generic-AI tagging vs.
Fluree.

See how Fluree’s governed AI pipeline compares to manual and generic-AI approaches across every dimension that matters for revenue teams.

Capability	Traditional Manual & generic-AI	Fluree CAM + ITM
Speed	Months of manual, or noisy generic-AI batches	100,000+ assets in 24 hours
Taxonomy alignment	Inconsistent manual tags or generic labels	Your controlled vocabulary, governed in ITM
Multi-format coverage	One format at a time	Video + audio + text + images + web
Relationship extraction	Not supported	Entities connected across every asset
Brand safety	Manual monitoring, slow response	Continuous evaluation — instant impact list
Cross-vocabulary	Not supported	Editorial ↔ advertiser ↔ compliance aligned
Search experience	Exact metadata queries only	Plain English for revenue teams
Ad-content matching	Manual curation or basic similarity	Semantic matching with fit scoring
Governance	Inconsistent across systems	Full audit trail + controlled vocabularies