Which market should MyGentic win first?
A high-level map of Personal brains, Cogentic (team), and MOAT monetization paths — sizes, complexity, and a clear beachhead recommendation.
Personal
Second brain / context memory for one person. Portable across AIs.
Cogentic
Shared org / team brains on the same engine.
MOAT
Marketplace of Agentic Talent — direct, catalog, or white-label.
Aligned to CPO product tree · Sources: TBRC, Mordor, Sacra, Glean ARR, live MyGentic pricing · Confidence Medium where analyst-only
Personal Brain Builder + MOAT-direct
Ship sticky personal brains. Let experts license to their own audience (LinkedIn / Circle). Keep the open marketplace gated. Treat Cogentic as permissions on the same engine — pull via small teams, don’t push enterprise search vs Glean / Copilot. White-label after direct works.
Why this wins now
- Live pricing already ($17 / $47 + Expert Brains)
- Audience + Circle exist — no enterprise sales cycle
- Moat = attributed, portable, sellable brains (Builder → MCP → license)
Defer for now
- Open marketplace liquidity (chicken-egg + liability)
- Full Cogentic GTM vs Microsoft / Glean
- Agency white-label ops until NPS is solid
Feature vs real business?
Personal
Everything hangs off this.
Cogentic
Roles, shared wallets, org TMS.
MOAT-direct
Feature on Brain Builder.
Marketplace
Ops, legal, payouts, QA.
White-label
Skin + tenant + billing.
One product?
Yes. Same context graph + attribution + MCP. Differ by scope, billing, and admin. Split brands / legal entities later if needed — not codebases.
Order-of-magnitude TAM proxies
Personal PKM AI
TBRC / Research and Markets · ~30% CAGR toward ~$6B by 2030
Cogentic / ent. AI KM
GenAI KM ~$6–8B · knowledge ops ~$14–16B · Glean ~$300M ARR · Copilot 30M+ seats
Creator / agents (MOAT)
Storefronts ~$7.4B · coaching ~$4B · AI agents ~$8–12B · Circle ~$68M ARR
Bigger TAM ≠ better beachhead. Cogentic is larger and slower. Personal + direct is smaller and reachable.
Five paths side by side
| Personal | Cogentic | MOAT-direct | Marketplace | White-label | |
|---|---|---|---|---|---|
| Buyer | Solo pro / coach | IT / ops / team | Expert → own list | Catalog browser | Agency B2B2C |
| ARPU sense | $17–47/mo | $30–150+/seat | $47–497/yr licenses | Take-rate on GMV | $150–750+/mo → custom |
| Complexity | Med | High | Med | Very high | High |
| Risk | Privacy | Incumbents / ACL | Advice brand | IP / liability / payouts | Support / SLA |
| Time to PMF | Fastest | Slow | Fast w/ audience | Slow | Medium |
| Start now? | Yes — primary | Pull, don’t push | Yes — with Genius | Later — gated | After direct |
Personal — second brain / context
Core product. Structured, editable, portable context across models — not chat scraps.
Market
- TAM proxy ~$1.5–2.5B Personal KB AI
- WTP proven $15–50/mo (Mem / Reflect class)
- MyGentic live at $17 / $47
Comps
Mem, Reflect, Notion AI, ChatGPT Memory, Limitless, Personal.ai, Readwise, Tana, Obsidian+AI
Win on: MCP portability, Context Atlas editability, ownership, multi-model, sellability
Feature vs business
This is the business core — not a side feature. Retention here funds everything else.
Cogentic — team / org brains
Biggest TAM. Slowest motion. Same engine with shared scope — not a fork.
Market
- ~$6–16B enterprise AI KM / knowledge ops
- Glean ~$300M ARR · Copilot >30M seats
- Dust ~$6–7M ARR shows mid-market is real but smaller
Comps & risk
Glean, M365 Copilot, Notion Enterprise, Slack AI, Guru, Dust, ChatGPT Enterprise
OzBrain overlaps Cogentic / context — not MOAT. That’s the wedge in investor conversations.
Play
Pull, don’t push. Enter when personal brains get shared inside agencies and coach teams. Don’t head-on enterprise search.
MOAT-direct — sell to your own audience
Best near-term monetization. Buyer already trusts the expert.
Why start here
- No platform discovery problem
- Payments + delivery only (medium complexity)
- Fits Genius + Expert Brain licenses today
- IR / mini-brains as proof, not core P&L
Comps
Gumroad, Kajabi, Teachable, Circle (~$68M ARR), Stan, Whop
Feature vs business: Monetization feature on Brain Builder until volume forces marketplace ops.
MOAT marketplace — open catalog
Largest strategic upside. Hardest ops. Where “feature” flips into a real business module.
What’s hard
- Two-sided liquidity (chicken-egg)
- IP ownership of “brain” vs source IP
- Advice liability if buyers treat outputs as guidance
- Payouts, KYC, tax, moderation
- Creator power-law (Gumroad: top 1% ≈ most revenue)
Signal
GPT Store scale is high; payouts weak (~$0.03/convo reported). Salesforce AgentExchange ~$800M ARR is enterprise procurement — different motion.
Play: Gated / curated Genius feature until supply quality + attribution + settlement are proven.
MOAT white-label / co-brand
Agencies and coaches embed the engine for their clients. Packaging — no parallel forks.
Market
- Coaching platforms ~$3.8–4.2B
- Botpress-style WL ~$150–750+/mo public tiers
- Higher ACV, more solutions-led sales
Sequence
After personal + direct licensing work. Natural channel for Virtual Edge / coach-agency motion. Strict partner tiers; self-serve first — support drag is real.
Beachhead scorecard
| Path | Speed $ | Moat | Fit | Risk | Start? |
|---|---|---|---|---|---|
| Personal Brain Builder | ★★★★★ | ★★★★ | ★★★★★ | ★★ | Yes — primary |
| MOAT-direct | ★★★★★ | ★★★★★ | ★★★★★ | ★★★ | Yes — Genius |
| MOAT-marketplace | ★★ | ★★★★★ | ★★★★ | ★★★★★ | Later — gated |
| MOAT-white-label | ★★★ | ★★★★ | ★★★★ | ★★★★ | After A |
| Cogentic team/org | ★★ | ★★★ | ★★★ | ★★★★ | Permissions first |
Riskiest overall: open marketplace. Then white-label ops. Then enterprise Cogentic vs incumbents.
Build → use everywhere → license
One public story. Personal stickiness first. Direct licensing next to the Genius cohort. Marketplace and white-label as modules when the engine and trust bars earn them. Cogentic as shared-brain packaging when teams pull — not when we push.
Product tree (CPO)
Core / Context → Brain Builder → IR / mini-brains → MOAT → Cogentic
Full brief
Detailed sources & TAM notes live in the companion markdown research doc (same date).