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Find-it-First Content Intelligence at Scale

ML and NLP that ingests, classifies, and delivers complex content to the right audience — automatically.

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Millions of Documents. Zero Findability. Your content is an asset trapped in chaos.

Organizations generate millions of documents — research papers, analysis reports, publications, best practices — in unstructured formats. The people who need that information are left to hunt and peck through disconnected systems, often abandoning the search entirely.

The Hidden Cost of Unfindable Content

Every day your teams spend classifying content manually is a day your users spend failing to find it. The gap between what you publish and what people discover is where value goes to die.

Staff years consumed by manual tagging — resources that should be serving your mission, not categorizing PDFs.

Content value depreciates without access — publications your organization invested in gathering dust in unsearchable repositories.

Users abandon search after repeated failures — your audience leaves and finds the answer somewhere else, or not at all.

Editorial bottlenecks compound over time — the backlog of unclassified content grows faster than your team can process it.

Three Engines. One Intelligent Platform.

Content Classification

Semantic analysis that categorizes content by dynamically-inferred context — not keywords. Integrated AI visual recognition handles images. The NLP engine learns and improves as more data flows through.

Content Relevance Analysis

Proprietary algorithms measure and optimize content based on observed user engagement across all channels, continuously refining delivery to match the intentionality of each visitor.

Persona-Driven Experience

Customer journey maps guide interactions automatically, personalize content by persona type, and trigger signals for human follow-up when high-value moments arise.

Aerial twilight view of a Department of Energy national laboratory research campus

Case Study

Find-it-First Technology Saves Labor, Improves Findability

Find-it-First Technology Saves Labor, Improves Findability

AgencyQ’s proprietary customer experience technology, Find-it-First, has saved the Department of Energy’s Office of Science four to seven staff-years analyzing, tagging and migrating data, while ensuring thousands of pieces of complex content are findable online.

See How

What Sets FIF Apart

Find-it-First
Platform Capabilities

Semantic Analysis

  • Dynamically-inferred context categorization
  • Concept-level matching beyond keywords
  • Machine learning that improves accuracy over time

Visual Recognition

  • AI-powered image analysis and classification
  • Automatic image tagging at ingestion
  • Visual content integrated into search results

Engagement Analytics

  • Real-time engagement KPIs and metrics
  • Content performance scoring per audience segment
  • Conversion rate tracking across channels

Journey Orchestration

  • Persona-based content personalization
  • Trigger-based human interaction handoff
  • Multi-channel experience coordination

Frequently Asked Questions

FIF handles research publications, analysis documentation, academic papers, technical reports, best practices guides, images, and other unstructured content. The NLP engine processes text in any format, while visual recognition handles image classification. Content can be ingested from existing repositories, content management systems, or direct feeds.

Traditional search relies on keyword matching and manual tagging. FIF uses semantic analysis to understand content at the concept level — inferring context dynamically rather than depending on someone to tag it correctly. An academic researcher and a high school teacher searching the same topic get different results matched to their needs, automatically.

FIF is platform-agnostic and connects via proprietary APIs. It has been deployed with Sitecore, custom CMS platforms, and standalone content repositories. Integration typically requires API configuration and content pipeline setup, not a platform migration.

Implementation follows a phased approach. Initial content classification results are visible within weeks of ingestion. Full persona-driven experience deployment — including journey mapping and engagement analytics — takes longer depending on content volume and audience complexity. We'll scope a timeline based on your specific content landscape and goals.

FIF has been deployed for federal agencies including the Department of Energy's Office of Science and addresses communication requirements referenced in multiple executive orders and federal mandates. Specific compliance certifications depend on the hosting configuration.

The DOE deployment saved an estimated four to seven staff-years of manual analysis and tagging labor, increased content ingestion speed by 50x, and reduced user search time by 50%. Results vary by content volume and complexity, but the ML engine's accuracy improves continuously as more data is processed.

Ready to Transform Your Content?

See Find-it-First in Action

Schedule a 30-minute demo and we'll show you how FIF handles your content at scale.

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