Videos opaque to engines
Without a transcript, chapters or structured data, a video stays hard to understand and to cite.
Video GEO
Your videos become citable sources.
Video GEO reads everything your videos say and show, the people, products, claims, demos and moments inside them, and turns it into pages, FAQs and clips that AI engines can read, quote and link back to.
Demo data
The gap
Your evidence is on film. It stays invisible.
Statements without a source
An article written next to the video loses the link to the moment that proves what it says.
Manual work that cannot keep up
Transcribing, cutting, writing and tagging every video by hand wears teams out.
Deliverables per video
One master in. Three to five minutes later: a full ecosystem around your video.
Every video becomes a family of answers: an article that answers the questions people actually ask AI, an FAQ, chapters and clips, published in formats AI engines can read and cite.
Answer-first article
The answer up top, developed below, every statement tied to the moment that proves it.
FAQ
The questions your audience asks, answered from the video.
Chapters and clips
Navigable moments and ready-to-embed excerpts, timestamped to the second.
Everything ships with the machine tags engines expect: schema.org, llms.txt. Demo data in the previews.
Proof
Before, a video. After, a page AI can cite.
The same video, then the generated page: answer-first title, summary, table of contents, FAQ, chapters tied to the timestamped moment and machine tags. Demo content.
- 00:00Why video stays invisible
- 00:42What an answer engine reads
- 01:30Structuring a timestamped moment
- 02:45Measuring the citation
After · the article page
Can a video appear in an AI answer? Yes, if its moments are structured.
Answer engines read structured text. Transcribing, chaptering and linking each statement to its timestamped moment makes the video verifiable, hence citable.
Contents00:00Why video stays invisible00:42What an answer engine reads01:30Structuring a timestamped moment02:45Measuring the citation
Can a video be cited by AI?What should be structured first?
MGT in 38 seconds
From master to AI answer, step by step.
MGT combines 25 models to link what is seen, what is said and what it means, tied to the exact second. Transcript and step-by-step navigation available.
MGT value chain · 38 s
0–3 s
A source asset, in its context.
A video master comes in with title, language, owner, date and rights.
3–7 s
Rules come before scale.
The Playbook overlays format, market, brand rule and approver.
7–12 s
MGT structures the master.
MGT turns the master into cards: versions, formats, available scores and destinations.
12–16 s
Proof stays linked to the source.
Zoom on a moment and its timecode when available.
16–21 s
One idea, many contexts.
Three versions are built for three channels.
21–25 s
AI prepares. Your team decides.
A person approves a version and its destination.
25–31 s
Read the context, not just a score.
An observed AI answer opens with URL or domain, question, date and coverage.
31–35 s
Every result keeps its level of proof.
Social, GEO, Referral, Engagement and Conversion rails stay separate.
35–38 s
Your content speaks for you. You stay in control.
Back to the Playbook and the decision log.
Animation transcript
- 0–3 s · Master. A video master comes in with title, language, owner, date and rights. A source asset, in its context. (An identified asset, with its rights.)
- 3–7 s · Playbook. The Playbook overlays format, market, brand rule and approver. Rules come before scale. (Governance before generation.)
- 7–12 s · MGT. MGT turns the master into cards: versions, formats, available scores and destinations. MGT structures the master. (Scoring, versioning, distribution and GEO.)
- 12–16 s · Moment. Zoom on a moment and its timecode when available. Proof stays linked to the source. (Missing or unanalysed modalities are clearly flagged.)
- 16–21 s · Versions. Three versions are built for three channels. One idea, many contexts. (Every version carries its status.)
- 21–25 s · Approval. A person approves a version and its destination. AI prepares. Your team decides. (No implicit automatic publishing.)
- 25–31 s · AI answer. An observed AI answer opens with URL or domain, question, date and coverage. Read the context, not just a score. (A protocol signal, not a visibility guarantee.)
- 31–35 s · Distribution. Social, GEO, Referral, Engagement and Conversion rails stay separate. Every result keeps its level of proof. (Citation ≠ click; referral ≠ causality.)
- 35–38 s · Log. Back to the Playbook and the decision log. Your content speaks for you. You stay in control. (A governed, reviewable loop.)
-
Analyze
Image, sound, speech, speakers, scenes and sourced statements, timestamped in every video.
-
Structure
The Content Graph links every moment to its proof, its topic and its rights.
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Generate
Answer-first articles, FAQs, clips, metadata and schema.org, approved by your teams. Published pages interlink; orphan pages get flagged.
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Measure
Citation tracking: which pages are cited, by which engine, for which question, over which period.
AI prepares. Your team decides.
Nothing ships unverified: every sentence keeps its source, its timestamp and its version, and your team approves before anything goes live. You always know where a statement comes from, who approved it and where it was picked up.
Explore this video’s graph
Content Graph · sample videoDemo data
{
"@context": "https://schema.org",
"@type": "VideoObject",
"name": "Product masterclass",
"hasPart": [{
"@type": "Clip",
"name": "The proof",
"startOffset": 42, "endOffset": 70
}]
} Languages and markets
Every video, in every market’s language.
LLMs answer differently by language and country: the deliverables follow your markets.
- Source language · transcript, chapters and statements extracted in the language of the video.
- Versions per market · pages and FAQs per target language, reviewed by your teams; subtitles and voice-over through Aive Studio.
- Measurement per market · citations and share of voice read market by market. GEO Measurement
How we measure, what we control, and what we never promise: Methodology
Frequently asked questions
Can a video appear in an AI answer?
Yes, if its moments are readable: transcribing, chaptering and tying each statement to its timestamped moment makes the video verifiable, hence easier to cite. No engine commits to citing it, and neither does Aive.
What should be structured first?
The videos that answer the questions your audience asks: demos, comparisons, tutorials, expert talks. A GEO Audit shows the questions and markets where the gap is widest.
How long does one video take?
One master in, the deliverables 3 to 5 minutes later. Your team’s review and approval come next.
Which video formats and rights are needed?
Import works by file, URL or from YouTube. You need analysis and reuse rights on the video; accepted formats, size and duration are specified before any import.
Are pages published automatically?
No. Video GEO produces drafts, sourced statements and structured data; your team reviews, corrects and approves them. Publishing then goes through enabled destinations, with a log.
Do we have to publish on an Aive site?
No. Content lives on your site, on your subdomain via a connector, or on the media Media Factory builds for you.
How is this different from a plain transcript?
The transcript is only the first step. Beyond words, MGT links image, audio, entities, sourced statements and timestamped moments, then prepares the pages and the Content Graph.
Content Graph or internal linking: what is the difference?
The Content Graph links knowledge: statements, entities, intents and clusters. Internal linking builds on that graph to organise links between your pages. The first structures what you know; the second organises how people navigate it.
Which structured data is produced?
Depending on the content: VideoObject, Clip, Article or FAQ, plus an llms.txt file, with a preview before publishing. It makes engines’ reading easier without guaranteeing any display.
Is our content used to train models?
Never. We never use our business customers’ data to train our models. In Aive GEO, analysing the questions asked to the Expert and how the platform is used helps improve topic and trend detection, as well as service quality. Enterprise customers’ data, however, is kept for their own needs, within their workspace.
What is the link between Aive and NVIDIA?
Aive announced its presence at NVIDIA GTC Berlin 2026. In an official post dated 16 September 2026, Aive states that it launched a Video GEO solution with NVIDIA.
Start from one video. See what it proves.
One video you hold the rights to is enough to see the deliverables.