Desmond Li — NEOX head of algorithms & semantic engineering

Desmond Li

NEOX R&D core · Ph.D.-led algorithms

Media AI agent: orchestration and semantic boundaries defined by Dr. Li’s team.

Dr. Li leads NEOX chip, Mattock models, and media-agent R&D alongside NEOXGEO GEO delivery.

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GEO · NEOX Media AI Agent hero: automated pipeline and newsroom publishing visual

NEOX Media AI Agent

NEOX Media AI Agent: from diagnosis to a closed GEO loop

Hardware-driven newsroom agents: the chip handles isolation & execution; Mattock handles diagnosis & decisions—surfacing GEO gaps and pushing media placement automatically.

Site
AI diagnosis
Chip agent
Media
Authority

Site → diagnosis → chip execution → media placement → feedback loop—iterate continuously.

How it works

Brain decides · chip executes

Mattock reads share of voice and gaps; chip agents run media actions with hardware isolation for stable jobs.

Brain · Mattock models

Whole-web scan · platform voice fingerprint

Sample visibility and citations from Perplexity, Gemini, ChatGPT—ranked gaps and priorities.

  • Semantic gaps
  • Citation drift
  • Competitor mapping
  • Authority mapping

Hands · chip-grade agents

Auto publish · refresh · maintain

Chip nodes follow the playbook for placement, rotation, and health checks—human-like cadence, auditable.

  • Physical IP isolation & session fingerprinting
  • Multi-site queues with automatic rollback on failure
GEO · Enterprise site/knowledge base to media endpoints: Mattock decisions and chip-node execution data flow (e.g. AP, Reuters)
Site/knowledge base → Mattock models → chip nodes to media endpoints (illustrative).

GEO automation backlog

Tap a card for execution detail

Three tracks: placement, semantic fill-in, and stable publishing.

Live task trace

Agent console

Scan → gap → deploy → outcome (illustrative state machine).

NEOX-agent · console
live

[Status] Scanning

Semantic crawl · multi-platform voice sampling

ScanningGap FoundActionResult

Target IP · isolated channel

10.42.17.203 · vlan-7

Publish queue

nodes_active: 52 · fail: 0

[NEOX-agent] init stack trace... ok

[chip] physical NIC isolate: vlan-7 · session jitter 12–38ms

[ai-core] crawl budget: 420 req/min · throttle adaptive

[deploy] node ap-tech-014 → POST /publish · 201

[deploy] node eu-news-022 → PATCH /entity · 200

[audit] citation share delta +12.4% (rolling 24h)

[NEOX-agent] loop: feedback → model re-weight · done

[NEOX-agent] init stack trace... ok

[chip] physical NIC isolate: vlan-7 · session jitter 12–38ms

[ai-core] crawl budget: 420 req/min · throttle adaptive

[deploy] node ap-tech-014 → POST /publish · 201

[deploy] node eu-news-022 → PATCH /entity · 200

[audit] citation share delta +12.4% (rolling 24h)

[NEOX-agent] loop: feedback → model re-weight · done

GEO · MATRIX SYSTEM OVERVIEW observability: target IP, site slug, HTTP status, queue depth, chip node IDs, status vector sidebar

GEO impact comparison

Citation share · radar sketch

Five axes before/after; in production swap in your KPIs.

Before

  • Citation share
  • Authority cover
  • Semantic density
  • Structure
  • News nodes

After · agent loop

Illustration: citations and authority lift after the loop; baselines vary by industry.

GEO · Knowledge adoption impact: before/after citation share, authority-domain coverage, radar sketch (generative retrieval semantics)

Turn GEO from a report into a daily loop

Chip execution carries AI diagnostics—continuously advancing media and citations.