As new productions decline, media companies are increasingly turning to create snackable
content from new, archival and licensed content to meet growing entertainment demand.
According to a 2024 report by the Los Angeles Times, U.S. film and TV production has
decreased by 40% in Q2 2024 compared to peak production levels in 2022.
Audience attention spans are becoming shorter than ever, hence snackable content has
emerged as a powerful tool for media and entertainment companies to drive engagement
and unlock new revenue streams. From short-form videos to interactive posts, leveraging
bite-sized content can lead to increased monetization and sustained audience loyalty.
The media and entertainment industry sits on a goldmine of content—movies, TV shows,
sports footage, news clips, interviews, and behind-the-scenes material. However, much of
this valuable content remains locked away due to inadequate metadata, inefficient search
capabilities, and the lack of structured content discovery. These vast contents hold
significant revenue potential, yet remain underutilized due to traditional search limitations.
The rise of snackable content
Snackable content refers to short, easily digestible, and engaging media formats designed
for quick consumption. It includes:
- Short-form videos (TikTok, Reels, Shorts)
- Memes & GIFs
- Infographics & carousel posts
- Quick-read articles & blog snippets
- Audio clips & mini-podcasts
With mobile-first consumption on the rise, this type of content thrives on social media
platforms, increasing shareability and virality. Traditional search methods often fall short,
rendering valuable content difficult to access. Media companies struggle with unstructured
data, making it challenging to monetize content or create engaging experiences for
audiences.
This blog explores how AI-powered search solutions can solve these challenges, unlocking
hidden revenue opportunities, optimizing workflows, and enhancing content discoverability.
By transforming content into a powerful revenue generator snackable content, AI search
and action agents reveal the hidden gems within media libraries.
Who Benefits from AI Search Agents?
If you belong to any of the following teams, AI-powered search and action agents can
streamline your workflow and unlock new revenue streams:
- Content Programming – Producers and editors working on documentaries,
compilations, or other archival-based projects require rapid access to specific clips.
AI search agents facilitate efficient content discovery and reuse.
- Post-Production – AI-powered tools enhance metadata tagging, search, and content
retrieval, reducing manual effort and improving accuracy.
- Social Media – AI-driven search enhances content discoverability and allows
repurposing of archival material for social media engagement.
- Marketing & Promotion – AI enables quick retrieval of relevant footage,
streamlining promotional content creation and campaign execution.
- Content Licensing – Licensing teams can quickly identify and retrieve relevant
content, enhancing monetization opportunities through partnerships and
syndication.
How AI Agents can be used to create Snackable Content
The digital age has led to an explosion of media content, with film studios, television
networks, and sports leagues accumulating content over decades. Without effective content
organization and retrieval methods, these contents remain underutilized.
AI Search and action agents i.e. Content Studio agents like metadata agents, thumbnail
agents, highlights agents and reframe and publish agents can be autonomously or semi-
autonomously used in creation of snackable content from both, new and old content that
can unlock tremendous revenue opportunities.
- AI Search Agent - AI search agents revolutionize archival content discovery by
combining deep metadata analysis, intelligent search algorithms, and conversational
interfaces. These agents analyze visual and audio content, identifying objects,
characters, scenes, and events—far beyond traditional keyword-based searches. This
capability enables media companies to find content using contextual and visual cues,
spoken words, or scene-based information.
- Metadata Agent - Generate tiered, deep metadata with actionable insights for
seamless content search-ability.
- Content Highlights Agent – Create AI-suggested scene lifts, cutdowns, and
compilations for social media & FAST platforms.
- Reframe Agent - Instantly resizes and reformats content for social media posts &
stories for different digital platforms
- Thumbnails Agent - Personalized thumbnail creation optimized for different
audiences and genres.
- Localization Agent - Rapid global expansion with AI-assisted translation,
transcription, and subtitling across multiple languages.
How Snackable Content Unlocks Revenue Opportunities
- Ad Monetization & Sponsorships - Platforms like Instagram Reels, YouTube Shorts,
and TikTok offer revenue-sharing models and brand sponsorship opportunities.
Media companies can capitalize on these by creating high-performing snackable
content by slicing and dicing the existing content that attracts advertisers and
audience alike.
- Subscription Growth & Premium Content Teasers - Short-form content serves as an
effective teaser for premium, long-form content. Streaming services, news outlets,
and digital magazines can use snippets to entice audiences to subscribe for full
access.
- E-Commerce & Shoppable Content - Integrating shopping experiences with
snackable content—such as interactive product tags in videos—allows media
companies to drive direct sales. Social commerce strategies are increasingly blending
content with seamless purchasing options.
- Affiliate Marketing & Partnerships - Media brands can leverage snackable content for
affiliate marketing by promoting third-party products and earning commissions.
Product reviews, how-to guides, and influencer collaborations can be packaged into
bite-sized formats for higher engagement.
- Live & Interactive Revenue Models - Platforms like TikTok, Instagram Live, and
YouTube enable real-time interactions where users can tip creators, purchase
exclusive content, or participate in paid live Q&A sessions. This fosters audience
connection while generating revenue.
AI Search Overcoming the Limitations of Traditional Search
Traditional content search methods rely on manual metadata tagging, which is labor-
intensive, inconsistent, and error-prone. Keyword-based searches alone fail to capture the
full context of visual and audio content. For instance, retrieving a specific moment in a
sports event requires detailed knowledge of the game’s timeline, player movements, and
commentary.
Companies that fail to optimize their archives risk losing substantial revenue opportunities.
On the other hand, those that integrate AI-powered search solutions can:
- Recreate assets into valuable revenue streams.
- Improve content discoverability and audience engagement.
- Streamline workflows and enhance operational efficiency.
Conclusion
AI-powered search represents a paradigm shift in how media companies manage, discover,
and monetize their archival content. By leveraging AI search agents, media organizations
can transform dormant assets into valuable revenue streams, unlocking hidden gems within
their vast archives. As AI technology continues to evolve, its potential to reshape content
discovery, enhance efficiency, and drive profitability will only grow.