Playbook
Goals, brand rules, markets, formats, rights and approval, set before production.
MGT (Multimodal Generative Technology) combines 25 models to turn video into structured data for scoring, versioning and distribution. The Playbook sets the rules; MGT structures the master; Aive Studio and Aive GEO help your teams analyse, adapt, optimise and activate the versions they keep the final say on.
MGT (Multimodal Generative Technology) is Aive’s proprietary multimodal technology: it combines 25 models. It structures a video master for Aive’s documented uses: scoring, versioning and distribution. It comes after the Playbook, which sets brand rules, formats, markets and approvals, and before the Aive Studio and Video GEO modules, which surface analyses and versions. The outputs available depend on the enabled module and the analysed corpus.
The animation can be paused, stepped through and read without playing: every step has its own text and safeguard.
A source asset, in its context.
A video master comes in with title, language, owner, date and rights.
Rules come before scale.
The Playbook overlays format, market, brand rule and approver.
MGT structures the master.
MGT turns the master into cards: versions, formats, available scores and destinations.
Proof stays linked to the source.
Zoom on a moment and its timecode when available.
One idea, many contexts.
Three versions are built for three channels.
AI prepares. Your team decides.
A person approves a version and its destination.
Read the context, not just a score.
An observed AI answer opens with URL or domain, question, date and coverage.
Every result keeps its level of proof.
Social, GEO, Referral, Engagement and Conversion rails stay separate.
Your content speaks for you. You stay in control.
Back to the Playbook and the decision log.
Videos come in with their context and rights; the Playbook applies the rules; MGT structures the master; results, measured on separate rails, feed the next version once your team has decided.
Goals, brand rules, markets, formats, rights and approval, set before production.
25 combined models that structure the master for Aive’s documented uses.
Analyses, versions, Creative Score and outputs, visible module by module.
Moment, proof, article, structured data, internal linking and observation, all linked.
Corpus, index, units of meaning, search and sourced answers, when the matching offer is enabled.
Social, CMS, Player, media, AI answers and first-party data, measured on separate rails.
Rights, roles, review, logs, cost, publishing, rollback and limits.
Published SOC 2 Type II report, GDPR, encryption, no model training on customer data, ISO 27001 in progress.
Secure by design: customer data is never used to train models, and intellectual property remains fully with the customer. SOC 2 Type II · GDPR · encryption in transit and at rest · access controls · logs. ISO 27001 in progress.
The modalities analysed depend on the enabled module and the corpus. When a modality is not analysed or a timecode is not available, the interface says so clearly.
MGT structures the master. Aive Studio and Video GEO surface, for your teams, the analyses, versions, scores and outputs resulting from that structuring.
No. We never use our business customers’ data to train our models. Details by product are on the Security and trust page.
The Aive workflow requires a person to approve a version and its destination. AI prepares; your team decides.
A demo on a sample of your videos, scoped on your use case.