Making the most of your Photos, video and audio
Multimodal & YouTube Optimization
Google Image Search and YouTube Search are the second and third largest search engines in the United States. Your photos and video are a potential goldmine, but without the right technical optimization, they remain invisible to search engines. We help these valuable assets get indexed, retrieved, and prioritized.
From “Watching” to “Understanding”
The Shift to Multimodal Search
AI models like Gemini and ChatGPT are no longer just indexing text. They are “watching” video and “listening” to audio in order to answer user queries in real-time. If your visual assets aren’t technically structured for this new retrieval method, your brand’s best insights remain trapped behind a play button. We unlock that value by treating your video library as Structured Data.
Applying the Signals That Machines Trust
The Anatomy of Multimodal Authority
You have put significant resources into the creation of your video and photo assets, don't let that investment go to waste.
Moment Mapping
We don’t script. We map. By identifying the most valuable segments of your existing videos, we incorporate precise timestamps and “Key Moment” data. This allows the bots to skip the “fluff” and feature your specific expertise as a direct visual answer in search results.
Schema Infrastructure
We build the code-level backbone for your video library. Using advanced VideoObject and MediaObject Schema, we tell search engines exactly what information is contained in the audio and visual tracks. This ensures “machine-readability” at scale.
Entity Integration
Your YouTube channel should be a pillar of your brand’s digital identity. We optimize your channel elements and metadata to reinforce your specific niche authority.
High-Velocity Indexing
We optimize your short-form assets to capture the mobile search feed. By refining the metadata for rapid retrieval, your existing clips are pulled into the new “Shorts” carousels on Google and other multimodal discovery engines.
Optimizing Your Existing Assets for Retreival
The Video Visibility Roadmap
Our framework aligns your visual library with the technical requirements of multimodal search, building a direct link between your expertise and the users seeking answers.
Step 1: Library Audit
We analyze your current video assets to find the high-value information that is currently “invisible” to search engines and LLMs.
Step 2: Metadata Reconstruction
We overhaul your titles, descriptions, and closed captions to match the conversational intent of modern searchers.
Step 3: Technical Deployment
We apply the Schema and “Key Moment” markups required for your videos to appear in AI-driven rich results and multimodal carousels.
Step 4: Retrieval Monitoring
We track your Citation Share. We monitor how often your video content is used as a source in AI-generated answers.
Is Your Video Knowledge Invisible?
Is Your Video Knowledge Invisible?
While others are focused on ‘getting views,’ we focus on making you an authority. Our team can help your existing video library be a primary source for the next generation of multimodal search.