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RANKMESH

RankMesh automates SEO and AI-search visibility. Agents do the execution: they audit, fix, write, and publish. People stay in review and approve.

TYPE
Autonomous SEO and GEO engine
ROLE
AI Engineer Intern at Ocavior, May 2026 to present
STACK
FastAPI, Celery/Redis, LangChain, Next.js, PostgreSQL, R2
RankMesh panel with the Meshy chat prompt and the work areas sidebar: Discover, Create, Manage, Measure
Meshy, the chat operator. VIEW FULL SIZE (opens in a new tab)

ARCHITECTURE

The backend is multi-service FastAPI: an orchestrator for projects, RAG, blogs, SEO, marketing, scheduling, and billing, plus specialist agents for SEO/GEO, prompts, and posts. Long jobs run on Celery/Redis with Claude and Codex runners. The panel is Next.js with client and manager workspaces and Meshy as the chat operator.

RankMesh SEO audit of a site: an overall score, a breakdown by category, and counts of critical, warning and passing checks
An SEO audit in the panel. VIEW FULL SIZE (opens in a new tab)

WHAT I BUILT

I've worked almost entirely inside this product, on both the agent backend and the panel operators use. This is what I ship day to day.

  • Shipped across the FastAPI multi-service backend: project auth, ingestion and RAG routing, blogs, SEO, marketing workflows, scheduling, credits, billing, and activity feeds.
  • Built and hardened Celery/Redis autonomous execution with Claude and Codex runners, capacity leases, audit to fix-plan to schedule, and manager pause/resume/cancel.
  • Owned large slices of the Next.js panel rewrite: client and manager workspaces, Meshy project chat with SSE, Discover and Manage SEO, admin tooling, and the performance work that kept data-heavy polls usable as agent output grew.
  • Wired Search Console, Analytics, Firecrawl, CMS and GitHub publish gates, R2 storage, and review-first content release.
RankMesh activity feed: agent runs grouped into needs a decision, in progress and completed
The activity feed of agent runs. VIEW FULL SIZE (opens in a new tab)

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