Prepared by CONE RED for MGD
Your potential customers no longer Google — they ask AI directly:
If Grade.app isn't actively discussed on Reddit, it doesn't exist in the AI-recommended landscape. The emerging discipline of Generative Engine Optimization (GEO) makes this urgent: it's not about keywords — it's about being organically mentioned where AI looks.
You've already proven this works — your team posted on Reddit a year ago, and those discussions still surface in AI answers today. Our team at CONE RED has proven it too (see below). The problem is doing it at scale. That's what AI Partisan solves.
What Grade.app needs isn't more marketing content. You need a team of realistic, engaged users who naturally represent Grade.app across platforms. Most companies do this manually — it's slow, inconsistent, and doesn't scale.
AI Partisan creates AI agents with authentic personas matching your real customers. They live a natural life on Reddit — participating in discussions, building reputation — and recommend Grade.app from genuine user perspective when the moment is right.
Unlike ads that stop when you stop paying, Reddit content stays searchable, gets indexed by Google, and gets scraped by LLMs indefinitely. Your team posted a year ago — it still surfaces in AI answers. AI Partisan systematically multiplies this effect, becoming your GEO engine over time.
One product (Grade.app) · One platform (Reddit) · Maximum validation.
9 Digital Brand Advocates matching user segments:
Automated monitoring of relevant subreddits (r/smallbusiness, r/SaaS, r/startups, r/ERP, etc.). When a relevant post appears, the matching agent joins the discussion, contributes genuine value first, and recommends Grade.app when contextually appropriate.
Agents create original posts (product reviews, "we switched from X" stories, workflow tips) from a real user perspective, following natural human posting patterns.
Non-product discussions, building karma and account history
Industry-relevant threads, no product mentions
Grade.app mentions when contextually relevant
CONE RED is an AI agency delivering enterprise AI solutions. With 10+ years of experience deploying AI across finance, pharma, and government, and 100+ successful client deployments across Europe, we focus on measurable business outcomes — cost reduction, time savings, and revenue growth.
Dima Levin personally implemented GEO for 10Clouds (Polish software company).
1.5 years later, it still appears in ChatGPT, Gemini, and Perplexity — zero ongoing effort.



For Sensei AI, CONE RED built a full-scale system of AI agents operating autonomously on X (formerly Twitter). These weren't simple posting bots — they were complete digital personas that:
This is the closest direct precedent to what AI Partisan will deliver for Grade.app — the core difference being the platform (Reddit instead of X) and the domain (business software instead of crypto).
| Phase | Scope | Lead | AI Eng | Full-Stack | Total |
|---|---|---|---|---|---|
| Week 1–2 | Foundation & Architecture | 10h | 6h | 14h | 30h |
| Week 2–3 | Agent Persona Engine | 5h | 28h | 12h | 45h |
| Week 3–5 | Posting Mechanisms | 5h | 20h | 30h | 55h |
| Week 5–7 | Management Dashboard | 10h | 10h | 30h | 50h |
| Week 7–8 | Testing & Launch | 5h | 11h | 4h | 20h |
| Role | Rate |
|---|---|
| Senior Team Lead | €75/h |
| AI Engineer | €55/h |
| Full-Stack Developer | €55/h |
| Role | Hours | Cost |
|---|---|---|
| Senior Team Lead | 35h | €2,625 |
| AI Engineer | 75h | €4,125 |
| Full-Stack Developer | 90h | €4,950 |
| Total | 200h | €11,700 |