Brief

OpenAlice Embed

The embedded AI brand-rep. Real-time embodied AI avatar widget for SaaS landing pages, retail kiosks, hospitality concierge surfaces, and any other customer-facing web place that needs a face + voice + brand personality.

Five-minute install (copy-paste a JavaScript snippet), browser-side avatar render (zero server GPU on our side), EU-governed by default (Mistral-EU) with consent-gated US LLM opt-in. Three customer modes (Sales / Support / Brand) ship together in MVP. Brand templates (Sakura default + Midnight + Cloud + custom CSS override) let any brand match their visual identity in seconds.

OpenAlice Embed is the first SKU of the OpenAlice Platform SKU family (Embed for web → Live for streams → Kiosk for in-store → Mobile for native apps), all sharing one Persona-Lite backend. Lead value prop: landing-page conversion driver for US B2B SaaS founders. Risk-reversed via annual «2 months free», credit-capped free demo on our landing, AI installer chatbot, and Tycho/founder-led white-glove install for first 10-30 customers.

Designed for the agentic-economy 2026-2030 window. Long-horizon thesis: own the continuous identity layer across screens → robots → spatial. Bootstrap path: ship Embed first (EU B2B SaaS + GDPR-sensitive SMB as primary GTM wedge), validate via first 10-30 paying customers, expand surfaces + sectors from there.

Audience

Audience — OpenAlice Embed (ICP refinement)

The narrow customer profile that anchors every marketing decision: who we write copy for, who we DM, who we don't waste time on. Per Hormozi rule: specificity sells; generic audiences buy nothing.

🎯 Primary ICP (narrow, anchor for everything)

EU-based B2B SaaS founders + GDPR-sensitive SMBs, sub-€10M ARR, AI-curious, GDPR/data-residency-aware, conversion-rate-obsessed.

GTM wedge: EU-governed by default is a structural differentiator no competitor currently matches — it unlocks fintech, healthtech, legaltech, and any EU B2B SaaS that has previously ruled out US-cloud chat widgets on legal grounds. The EU-first wedge is a product truth, not a marketing overlay; the Hetzner Frankfurt infra + Mistral-EU LLM + DPA template make it real.

Why this segment first:

• Addressable count: 30–100k EU B2B SaaS + GDPR-sensitive SMBs fit this band — small enough to know the watering holes; large enough for a real market.
• Structural fit: EU-governed by default removes the #1 legal objection before the demo.
• Tech-forward: willing to evaluate new SaaS tools, faster procurement than enterprise.
• Payment friction: credit-card-on-file or SEPA; paid plans clear quickly.
• Distribution: EU-Startups Slack, SaaS Alliance, DE/NL/Nordics tech Twitter, r/gdpr founders — channels NAO can reach with authentic EU-governance / data-residency narrative.
• Pricing fit: €49-€249/mo is viable for a funded SaaS founder; Mollie (EU) = frictionless.

👤 Buyer persona (composite — the «founder we're writing for»)

• Name placeholder: Lars (DE/NL/Nordics, mid-30s, technical co-founder or GDPR-aware solo)
• Title: Founder / CEO / CTO — typically wears 3 hats in their company
• Team size: Solo to 8 people
• Stage: Post-MVP, pre-Series A. €30k–€1M ARR. Living off seed or revenue.
• Mental model: Their landing page is the most-optimized page they own; they A/B test it monthly; conversion-rate fluctuations are their daily blood-pressure check. AND they've been burned by a US-cloud chat widget forcing a legal review.
• Information diet: EU-Startups newsletter, Indie Hackers, Hacker News, Lenny's, EU AI Act updates, X SaaS-Twitter. Reads founder essays, ignores corporate marketing collateral.
• Decision speed: Once convinced (~30-min eval), they buy in <24 hours. Slow YES = NO.
• Risk tolerance: Will try anything for 14-30 days; will cancel anything that doesn't show ROI by month 2.
• Budget signal: Already paying €50–€500/mo for tools like Linear, Vercel, Notion, Mollie, Plausible. SaaS-stack-tax is normal for them.

💔 Pains (what makes them buy)

Ranked by buy-trigger strength:

1. Landing page converts at <2 %, and they don't know why. Hours pour into copy, designer, A/B tests — needle moves marginally. They'd pay €249/mo for any tool that demonstrably moves conversion.
2. They wear too many hats. Sales/support/marketing are all on the founder. They'd love to offload prospect-question-answering to something that scales while they sleep.
3. Their AI strategy is incoherent. They added ChatGPT plug-ins, maybe a Tidio bot, but it's not differentiated. They want a story to tell investors about how their company «uses AI strategically».
4. They're tired of generic text chat widgets. Intercom and Drift feel commoditized; visitor engagement with text bots is low; they want a face + voice + personality that visitors actually talk to.
5. They want to look more credible than they are. A real-time AI brand-rep on their landing makes their tiny startup look like a 50-person ops team to a prospect.

🧠 Psychographics (how they think + decide)

• Pattern recognition: They identify with Pieter Levels, Sahil Lavingia, DHH archetypes. They want to build a high-leverage solo + AI business; they're inspired by Polsia's $30M-with-1-person.
• Bandwidth scarcity: They never have time. Anything that costs more than 30 min to implement gets deferred indefinitely. Our 5-minute install promise is non-negotiable.
• ROI obsession: They calculate per-tool ROI weekly. They cancel tools that don't show clear contribution.
• Brand-as-leverage: They believe their personal brand + their company's brand voice matters. They'll happily pay for tools that reinforce brand differentiation.
• AI-anxious + AI-excited: Half-afraid of LLM hallucinations damaging their reputation; half-thrilled at how much AI does for them. Need confidence-gated escalation + transparent AI disclosures.

📺 Where they live (channel map for outreach)

Ranked by signal strength:

🚫 Anti-fit (who we explicitly DON'T target)

• Enterprise procurement teams (Fortune 500 IT). Our €249/mo SaaS tier doesn't fit their procurement gauntlet. Enterprise tier (custom) handles them, but that's not Offer #1's primary motion.
• Shopify SMBs at < $50/mo ARPU. Price-sensitive, suspicious of new apps, hard to break into App Store. Maybe later, not first wedge.
• Non-tech SMBs (local hair salons, restaurants, dentists). They don't have landing pages in our sense; they have Google My Business. Wrong product fit.
• Adult / gambling / political content brands. Per NAO content standards. Won't sell to.
• Existing Intercom / Drift / Tidio enterprise customers with 6-figure annual contracts. Switching cost too high; we won't out-price established incumbents at enterprise scale.
• US-only companies with no EU data requirements who are price-driven. Our EU-governed default is a feature for them only if GDPR matters; if it doesn't, we're competing on avatar+voice alone vs US alternatives.

⏰ Buying triggers (when they're MOST likely to convert)

• They just spent a weekend re-doing their landing page and conversion didn't budge.
• They just hit 1k users and customer support questions are eating their week.
• They just read a Polsia / Levels.io article and feel «one human + AI» FOMO.
• They just paid for Intercom annual and realized they spent $5k/year on a bot that visitors barely use.
• Investor said «what's your AI angle?» in last fundraising call.

🌍 Geographic priority (EU-first — product truth matches GTM wedge)

1. Germany / Netherlands / Nordics (primary 50 % of M1-3 outreach) — GDPR enforcement is real + costly; EU-governed by default is a native objection-remover; Hetzner Frankfurt infra is already live.
2. France / Belgium / Austria / Switzerland (secondary 20 %) — same GDPR posture; French/German SaaS ecosystems growing fast.
3. UK / Ireland (15 %) — post-Brexit GDPR-equivalent; English-language; EU-adjacent.
4. US (15 %) — largest TAM; EU-governed by default is a differentiator for US companies with EU customers (GDPR-compliance obligation). Do NOT lead with EU sovereignty as the primary hook — lead with avatar + real-time + conversion angle for US ICPs.

Defer Latin America + Asia until after first €50k MRR (language + localization burden).

📐 SOM math for primary ICP

• Addressable EU B2B SaaS + GDPR-sensitive SMBs sub-€10M ARR: ~30–100k accounts.
• Realistic 12-month penetration at solo + AI + no-money launch: 0.3–1.0 % = 90–300 paying customers.
• ARPU mix (Starter €49 60 % / Pro €249 30 % / Business €799+ 10 %): ~€130/mo average.
• 12-month MRR target: €53k–€177k (matches metrics.yaml canonical).
• 24-month penetration at 0.7–2 % = 200–600 customers → €118k–€354k MRR.

🔁 Refinement triggers (when to re-run this doc)

• First 10 paying customers landed → confirm pattern matches / pivots ICP
• 50 customers landed → re-segment data (which sub-cohorts retain best)
• First Pro-tier customer landed → confirm Pro fit profile
• First Enterprise contract closed → adjust enterprise sub-ICP
• Any pivot in product / positioning surfaced by NAO

How to apply

Anchor every other marketing artifact to this profile:

• Landing copy → speaks to this founder's pains in their voice.
• Cold DM templates → reference channels they actually live on.
• FAQ → addresses objections THIS profile raises (not generic SaaS).
• Pricing page → frames ROI in terms they calculate (cost-per-conversion, ARR-leverage).
• Sales scripts → assume tech-fluency + bandwidth scarcity.
• Product roadmap → prioritise features this profile asks for, defer features only enterprise wants.

Pricing

Pricing — OpenAlice Embed

Mollie-only (no Stripe/Paddle). Seat-free.

Current model (per billing.rs — the single source of truth): tier + cap + soft-stop

Each tier carries a monthly conversation cap. At the cap, new conversations pause with an upgrade prompt — a conversation in progress is NEVER cut, and there is NO surprise overage bill ("soft stop, never a surprise bill"). The cap protects margin by design (no runaway inference cost). Margins ~89% / 81% / 73% (worst-case at-cap, all ≥60%). Annual = 2 months free.

Free tier: €0, 100 conversations/month, 10 KB pages, 1 widget, 10 min voice trial. No credit card required. This IS the free trial — install Alice on your site, train her on your product, watch real visitors interact. Upgrade when you've seen it work. (Consistent with checkout flow, customer dashboard, and lifecycle docs.)

Roadmap option (NOT current — NAO's call)

The AI-pricing research (marketing/research/ai-era-pricing-2026-06-17.md) recommends evolving toward a usage/outcome hybrid (platform fee + bundled resolved-conversation allowance + auditable overage) to ride the seat→usage industry shift + the "pay for outcomes you can audit" wedge. If adopted, the unit-economics model says set overage at €0.03/resolved-conversation (not €0.015 — that would be underwater) + €0.12/min voice. This is a strategic decision, not a current-bug fix — the cap+soft-stop model above is honest + margin-safe today. See marketing/product-design/EMBED-UNIT-ECONOMICS-MODEL.md.

Pre-first-customer — zero fabricated metrics.