01Connect the source
Bring video into AdCyte through direct ingestion or an agreed connection to the system that already holds it.
Outcome: No unnecessary second media library.
AdCyte for enterprise
Connect video understanding to your content operations.
AdCyte analyses video from the systems you already use, turns it into evidence-backed, on-brand knowledge and prepares approved outputs for the places your audiences and AI systems find them.
See how AdCyte could work across your video library, publishing workflow and priority discovery questions.
Keep the media in its source of truth. Put the understanding to work.
The connected model
Keep the video where it belongs. Move the understanding.
Your DAM, MAM or storage platform remains the source of truth for the media. AdCyte creates a working knowledge layer around the video, then prepares reviewed outputs for the publishing and discovery workflow.
02Understand the content
Analyse what every video shows, says and demonstrates. Connect findings to source moments, approved facts, brand instructions and related content.
Outcome: Evidence-backed knowledge, not another loose description.
03Publish the knowledge
Prepare approved descriptions, answers, structured content and campaign knowledge for websites, CMS platforms and other agreed destinations.
Outcome: A richer public representation of the video.
04Observe and improve
Test priority questions, inspect sampled AI answers and connect gaps to the evidence, writing or publication that needs attention.
Outcome: Specific actions grounded in content the organisation controls.
Connections and delivery methods are scoped during discovery. Availability depends on the systems, access and workflow involved.
Enterprise outcomes
Turn a video estate into working knowledge.
AdCyte helps teams use the meaning inside finished video across publishing, discovery and the next round of creative decisions.
Make valuable video discoverable
Give campaigns and product films a reviewed written layer that search engines, generative engines and people can use beyond the player.
Reduce repeated interpretation
Let teams find what a video says, shows and supports without rewatching every asset from the beginning.
Keep brand knowledge consistent
Apply approved facts, language and boundaries when turning video evidence into written outputs.
Preserve the evidence
Keep useful claims connected to their source type, wording and moment, so reviewers can inspect what supports them.
See across campaigns
Compare messages, claims, themes, questions and gaps across related videos rather than treating every file as an island.
Make AI visibility actionable
Record what supported AI-answer surfaces returned for approved questions, then connect observed gaps to content the organisation can improve.
One knowledge layer
Several enterprise uses. One chain of evidence.
Multimodal video analysis
Read speech, scenes, on-screen text, products, people, actions, claims and tone together, rather than relying on a transcript or filename.
Evidence-linked findings
Connect useful findings to timestamps and playable source moments so teams can review the basis of an answer.
Brand and reference context
Use approved terminology, product information, brand instructions and known boundaries to guide interpretation and writing without replacing the source evidence.
Human review and revisions
Let teams correct findings, refine written outputs and retain judgement over what becomes approved knowledge.
Collections and campaign views
Organise related adverts by campaign, product, market or theme, then inspect the body of work as a connected set.
Questions and relationships
Ask natural-language questions across saved analysis and trace answers back to supporting videos and moments.
Coverage and gaps
Check whether priority questions are supported by evidence, included in writing, published and later observed in eligible AI-answer samples.
On-brand written outputs
Create descriptions, supported answers, FAQs, key information and structured copy from reviewed video evidence.
Publishing and portable delivery
Prepare approved knowledge for public pages, existing websites, CMS workflows or structured exports. Enterprise delivery is configured and scoped by agreement.
VideoGEO observations
Sample approved questions through supported AI-answer providers and distinguish mentions, recommendations, citations and gaps. Retain the sampled answer and evidence for inspection.
Specific enterprise features, integrations, permissions and processing limits are confirmed during discovery and documented in the agreed scope.
Connected content operations
Source, context and destination all matter.
Enterprise video rarely lives in one workflow. AdCyte is designed to connect the media, the approved business context and the places where useful knowledge needs to appear.
01
Sources
DAM, MAM, cloud storage, direct upload and other agreed media sources.
02
Context
Brand guidelines, approved facts, product information, reference records and campaign briefs.
03
AdCyte
Multimodal analysis, playable evidence, relationships, review and on-brand writing.
04
Destinations
CMS platforms, websites, product or campaign pages, structured exports and other agreed content workflows.
05
Observation
Approved discovery questions sampled on supported AI-answer surfaces, with mentions, recommendations, citations and gaps recorded separately.
AdCyte is not another permanent home for the media. The original video remains in the organisation's own system. Processing copies, retained intelligence and output delivery are defined as part of the deployment.
Every enterprise connection is scoped by agreement. Requirements such as metadata mapping, permissions, approvals, retention and support are established during discovery.
Across the library
See what the whole body of work is saying.
A strong campaign is more than a folder of finished files. AdCyte helps teams inspect the messages, evidence and questions that run across a collection, then identify what is present, repeated, missing or inconsistent.
Campaign collection
Harcourt Motors · Meridian GT
Long-distance comfort appears across all three films
Range and charging appears in two. Hand-finished interior appears in two.
Launch filmComfort · Range · Interior
Range explainerRange · Charging
Coastal driveComfort · Handling
The result is a clearer brief for the next page, edit, campaign or publishing decision.
A shared operational view
Useful to every team responsible for the video.
Brand and marketing
Protect approved language and extend the value of finished campaign assets.
Creative and content operations
Find, review and reuse what the video actually contains.
Search, GEO and digital
Publish stronger video knowledge and inspect priority discovery questions.
Innovation and AI
Test a governed use case with visible evidence and defined limitations.
Technology and data
Define how media, context, outputs, access and retention fit the wider operation.
Start with discovery
Show us the workflow before we prescribe the solution.
An enterprise demo should answer the questions that matter to your operation, not repeat a generic product tour. We will use the systems, content and outcome you describe to focus the conversation.
Share the context
Tell us where the video lives, who needs to use its knowledge and where approved outputs should go.
See a focused demonstration
We will show the relevant analysis, evidence, publishing and VideoGEO workflow using an appropriate example.
Agree the next useful step
That may be a supported content test, a bounded POC or discovery for a broader deployment.
Prove it with your own content
When a POC is the right next step.
For a defined operational question, a bounded proof of concept can show what AdCyte finds, how the evidence stands up and what would be required to move into production.
Discover and define
Agree the video set, systems, named targets, priority questions and the decision the work needs to inform.
Connect or ingest
Bring in the agreed content through upload or a scoped source connection, with handling and retention defined in advance.
Analyse and review
Process the videos, inspect findings against exact source moments and apply the relevant business context.
Publish and observe
Prepare selected outputs and, where included, sample approved questions on a supported external AI surface.
Present the findings
Review coverage, gaps, limitations, integration requirements and practical next steps against the agreed outcome.
A POC evaluates a defined use case. It is not a promise of archive-scale deployment, universal integration or a guaranteed change in AI visibility.
Define the operating boundaries
Make the deployment explicit before it becomes operational.
Source media and retention
Agree where originals remain, whether temporary processing copies are required and how long any media or derived intelligence is retained.
Access and responsibilities
Define users, workspaces, permissions, reviewers and the responsibilities on each side. Availability is confirmed during discovery.
Data handling and security
Document the relevant processing, transfer and security requirements during discovery and contracting.
Evidence and approval
Set the review process for findings, written outputs and content that can be published or delivered downstream.
Integration scope
Confirm systems, metadata mapping, triggers, delivery formats, error handling and ownership of each connection.
Support and service expectations
Agree implementation, usage, support and service requirements as part of the commercial scope.
Enterprise arrangements are priced according to platform access, usage, integration and support requirements. Processing limits are agreed during discovery. Compare AdCyte pricing routes.
Enterprise FAQ
Questions before discovery.
What is enterprise VideoGEO?
It is the practice of turning reviewed video evidence into useful public knowledge, then observing how approved questions are answered on supported AI surfaces. AdCyte records mentions, recommendations, citations and gaps separately rather than combining them into an invented score.
Does AdCyte replace our DAM or MAM?
No. Your existing system remains the source of truth for the media. AdCyte supplies a working layer for understanding, reviewing, writing, publishing and observation.
Can AdCyte connect to our existing systems?
Potential connections include DAM, MAM, storage, product information and CMS workflows. Each connection is assessed and scoped by agreement; do not assume an off-the-shelf connector is already available.
Do we need to begin with a POC?
No. The first step is a focused demo and discovery conversation. A POC is useful only when a defined question needs to be tested with the organisation's own content or systems.
Where is our video stored?
The original media should remain in your own source system. Any upload, temporary processing copy, deletion timetable and retention of derived intelligence are agreed as part of the deployment.
What does an enterprise deployment include?
It can combine platform access, usage, agreed users and workspaces, configured outputs, integrations and support. The exact scope and commercial structure are established during discovery.
Can AdCyte guarantee that an AI system will cite or recommend us?
No. AdCyte can publish stronger evidence-backed knowledge and record what supported AI surfaces returned for defined samples. It cannot guarantee indexing, ranking, citation, recommendation or causal uplift.
See AdCyte in the context of your own video operation.
Bring the workflow, systems and questions. We will show where AdCyte fits, what is already possible and what would need to be proved.