Orchestrating voices, brands, and algorithms to build authority.
Linaris orchestrates Voices with verified technical authority and Brands that need signed presence in sectors where reputation matters more than reach. An editorial piece is produced once and monetized twice: on the Voice's channel and on the Brand's channel.
No existing player solves both sides of the problem at the same time. There are agencies for one side, platforms for the other. Linaris orchestrates both.
LLMs —ChatGPT, Perplexity, Gemini— are already a decisive discovery channel. They index person-entities with verifiable credentials, not ads. A brand with distribution but no signed presence by recognized authorities stops appearing in the answers consumers consult before buying.
Paid media loses efficiency: rising CAC, undemonstrable ROI, bans in regulated sectors. Traditional influencer marketing doesn't scale: undemonstrable ROI, total dependency on the creator, linear cost.
In licensed sectors —medicine, law, finance, architecture— regulation explicitly forbids variable commission on sales. Opaque ambassadorships and hidden commissions compromise professional reputation without solving the problem.
Without method or time to publish systematically, adapted to each network's algorithm, real technical authority stays invisible. And without verifiable metrics, Voices can't differentiate themselves from inflated profiles.
Linaris is an orchestrator that operates on the infrastructure of social networks and large language models. It connects three actors today's system doesn't coordinate.
We don't compete with paid media agencies or traditional influencer agencies: we are the missing layer between them. And we're AI-born from origin: our marginal cost per new client is close to zero, not proportional to team hours.
The conventional order starts with the brand and hopes the algorithm rewards it. Linaris reverses that order: we start with the algorithm.
The methodological inversion that defines Linaris is counterintuitive compared to traditional marketing.
They're distinct products with shared infrastructure and different operational goals. The same professional can contract both if they have both objectives.
Professional with public authority in their vertical: doctor, educator, lawyer, financial advisor, architect. Wants to turn technical authority into systematic presence without breaching their professional code.
Systematic production and publishing, adapted to each network's algorithm. Fixed-fee model per content produced —zero commission on sales— compatible with professional codes. Verifiable authority metric: Social Score.
Company or institution operating in sectors where reputation matters more than reach: private healthcare, EdTech, B2B SaaS, fintech, real estate, professional services.
Build an owned community signed by authority —not ad spend that evaporates—. 1:1 traceability on every interaction and an attribution panel per active Voice, with regulatory compliance integrated by design.
The features not included in Voice are not a plan limitation: they reflect that the Voice's operational goal doesn't require them.
| Feature | Voice | Brand |
|---|---|---|
| AI clone production | Yes | Yes |
| RAG Digital Brain | Adapted — the Voice contributes | Complete — Linaris builds |
| Integrated compliance | Adapted | Complete |
| 72h PDCA cycle | Yes | Yes |
| Performance analytics | Yes | Yes |
| Social Score | Organic authority | Managed community |
| Voice → Brand attribution panel | — | Yes |
| Cross-market intelligence | — | Yes |
| Proactive prospecting (Growth) | — | Yes |
| 1:1 comment reply | — | Yes |
| Behavioral intelligence | — | Yes |
| Catalog matching access | As supplier | Full access |
Four phases: three initial ones that run once, a fourth that repeats indefinitely every 72 hours.
Double subscription. An editorial piece is produced once and generates two independent subscriptions: the Voice's, paying to build their authority, and the Brand's, paying to appear signed by that authority. A clean model compatible with professional codes.
The method exploits three converging conditions: verifiable technical authority, regulation or reputational sensitivity, and dependency on signed presence to reach the consumer.
The three conditions the method exploits converge here: strict regulation that prevents variable commission models, high density of professionals with verifiable technical authority, and significant volume of brands that depend on signed presence to reach the end consumer.
Where the agent's credential matters more than the listing.
Technical decisions get documented and signed, not pitched.
Regulated product where compliance is not negotiable.
Academic authority that converts better than paid media.
Doctors, lawyers, advisors, architects: the signature is the asset.
Editorial criteria signed by creators with authority, not reach.
The architecture of the model is sector-agnostic. If your vertical isn't listed here but meets the three conditions, a conversation is worth having.
Two structural shifts converge for the first time in 2026.
Social networks have shifted from rewarding reach to rewarding verifiable credentials. A piece signed by a licensed doctor weighs more algorithmically than ten anonymous pieces with the same message.
ChatGPT, Perplexity and Gemini index person-entities, not ads. The brand that doesn't appear signed by authorities in its vertical disappears from the discovery moment, where the purchase decision now begins.
Linaris is AI-born from origin: its agentic architecture integrates production, regulatory validation and algorithmic orchestration from day one. It's not a traditional agency adapting to AI. It's a new infrastructure designed for this moment.
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