A consumer chat platform needed organic distribution at the cost basis of automation, not paid acquisition. The brief: stand up a network of branded AI creators who could populate, warm, and operate platform-native accounts — while routing genuine demand back to the product’s primary URL.
| Sector | Consumer apps · chat / social |
|---|---|
| Stage at start | Live product, paid-acquisition heavy, organic surface underbuilt. |
| Channels in scope | Instagram, YouTube Shorts, TikTok, X / Reddit lurk-and-comment. |
| Constraints | Platform anti-bot regimes, follow-action limits, daily post caps, IP-rotation requirements. |
Eight branded AI creators with distinct content lanes mapped to user-segment archetypes. Each persona has a consistent face, voice, posting style, and bio funnel.
Bios push every visitor to the brand’s primary URL through a single tap, not a creator-link tree.
Physical device farm running platform-native warmup loops. Bimodal scroll cadences, organic follow sweeps, hashtag rotation, per-account proxy isolation.
Per-serial locks and brand-aware dispatch so accounts on shared devices never collide.
Daily short-form output through the standard pipeline (script → voice → video → upload). Cohort fan-out across platforms with a min-age guard to avoid stampedes.
Performance feedback flows back into prompt and template selection weekly.
Beyond content, this engagement included the infrastructure most agencies don’t build: per-account proxy management, captcha auto-solve, OAuth token rotation across multiple GCP clients, multi-tenant Supabase as system of record, and a unified dashboard for caption review, render reset, and visual approval. The point is that “AI creator content” in production is not a generation problem — it is an operations problem, and the operations layer is what we own.
If you’re running paid-acquisition heavy and want an organic surface that compounds, this engagement template is repeatable.