AI tools operators actually use.

Aivatar is the AI Growth OS for founders and operators. Plan a month of content in Marketing OS, approve it once, and the system generates, stages, and publishes on schedule — with a deterministic quality validator and GSC-informed topic scoring on every run. Plus Signal visibility audits, Account Intelligence dossiers, Business Builder plans, and Risk Intelligence monitoring — one platform, one login, one credit pool. Every output is a structured artefact you can act on, not a chat window you have to prompt-engineer into something useful.

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Who Aivatar is for

Founders running early- and growth-stage companies. Sales leaders and CROs briefing teams before enterprise pursuits. Consultants who need to deliver structured client work faster. Growth and supply chain teams that refuse to stitch five tools together to do one strategic job. If you're an operator — not an empire-builder — you're the target.

  • Founders — Pressure-test ideas, audit your own site, and walk into investor meetings with structure.
  • Sales and revenue leaders — Arrive at every first meeting with a verified 10-section dossier on the account.
  • Consultants — Deliver sharper client work in less time with defensible structured outputs.
  • Growth + supply chain teams — Fix the visibility foundation first, then distribute only what converts. Monitor exposure that actually maps to you.

What Aivatar actually does

Six live tools plus Decisions in Beta. Marketing OS is the flagship: plan a month, approve once, and the system generates briefs, drafts, and derivatives just-in-time and publishes approved assets on schedule. The rest are complete products on their own — Signal, Account Intelligence, Business Builder, Portfolio Analyzer, Execution Planner, Risk Intelligence. They share a dashboard, a credit pool, and enough context that the second use is sharper than the first.

  • Aivatar Signal — Audits your site's technical visibility, content architecture, trust posture, and AI-search readiness. Returns a prioritized fix board, not a 60-page PDF.
  • Account Intelligence — Deep, AI-researched 10-section dossiers on target accounts, verified by senior consultants. Defensible in front of a CFO.
  • Business Builder — Turns a rough business idea into a structured plan — customer, offer, value proposition, go-to-market — in twenty minutes.
  • Portfolio Analyzer — Reviews a portfolio of initiatives and returns keep / kill / pause / accelerate calls with sequencing, resource allocation, risks, gaps, and a 30-day action list.
  • Execution Planner — Takes one initiative and produces a 30/60/90 plan — priority tier, impact vs effort, dependencies, KPIs, decision gates, and an explicit kill criterion.
  • Risk Intelligence — Geopolitical and supply chain monitoring with user-specific impact models. Map, scenarios, watchlists, events, reports.
  • Marketing OS — Plan a month, approve once, and the system generates briefs, drafts, and derivatives just-in-time and publishes approved assets on schedule. Deterministic quality validator and GSC-informed topic scoring. Unlocks after Signal passes the readiness gate.
  • Aivatar Decisions — Beta — Structured-output engine for operator-grade personal and strategic calls. Dossier-style briefs, not conversation. Request access.

Why structured outputs beat chat

The first wave of AI gave everyone a chat window and the quiet expectation that you'd figure out prompting yourself. It worked for copywriting. It broke for every serious operational task — where the output needs structure, the reasoning needs to be auditable, and the artefact needs to survive contact with a senior stakeholder. Aivatar flips it: you describe a problem in business language and get back a structured artefact you can act on.

Proof, methodology, and playbooks

No customer logos — we're early. The proof we do have is public and auditable: we ran our own audit engine on our own site and published the before/after. We ship in the open and write down exactly how every tool works. Read anything before you trust us.

  • Resources hub — Articles, use cases, glossary, comparisons, case studies, changelog — every public piece of content, one index.
  • Case study · Aivatar on Aivatar — We audited our own site. Score 31 → 75+ with every fix in the public commit history.
  • How Signal audits work — Four pillars, deterministic crawl, AI analysis layer, scoring formula, fix-board buckets — the methodology in detail.
  • What operator-grade AI means — Five traits separating AI operators actually use from demos. Defensibility, structure, graceful degradation, calibration, dogfood.
  • Public changelog — Real entries grouped by sprint. The shipping cadence is the proof — no roadmap theatre.
  • Blog — Longer-form writing on strategic AI, visibility foundations, and how operators should buy AI today.

All resources · Methodology · Case study · Changelog · Blog

How to start

No onboarding call. Pick a tool, get a real output — audit, dossier, plan, or scenario — and iterate in your dashboard. Free tier covers one lifetime Signal audit and one Account Intelligence report. Pro is 19 CHF per month for 35 generations across every tool.