Mission: Document our research on trust verification for image, video, and audio ads in AI agent contexts.
OpenAI, Meta, Google, and Microsoft are launching multimodal ads in Q1-Q2 2026. Current solutions (C2PA, Getty licensing) only address provenance—not semantic meaning, use policy, misuse detection, or agent discovery. We're building the missing Layers 3-6.
📅 Published: December 1, 2025
🔴 Breaking Analysis
⚡ Priority: 1.0
OpenAI just took equity in Thrive Holdings to automate accounting and IT services. This isn't a typical partnership—it's a phase transition from model-as-vendor → model-as-infrastructure-owner. Advertising follows the same playbook: manual workflows, fragmented infrastructure, high regulatory complexity. But unlike accounting, advertising lacks standardized trust infrastructure for AI automation. How FCS-2.0 fills this gap.
Enterprise AI
Trust Infrastructure
Market Strategy
Acquisition Scenarios
Relevant for: Enterprise CTOs, Ad Tech Leaders, AI Infrastructure Investors, Standards Bodies
📅 Published: December 1, 2025
🟢 Market Analysis
⚡ Priority: 1.0
Comprehensive comparison of mainstream contextual advertising (Google Topics, Oracle CI, GumGum) vs. Contextual Ads Protocol (CAP). Why current solutions are page-first (not agent-native), privacy-drift risks, provenance vacuum, and how FCS-2.0 fills the gap.
Market Analysis
Competitive Intelligence
Agent-Native Ads
Privacy Compliance
Relevant for: Enterprise CTOs, CMOs, AdTech Decision-Makers, Regulators
📅 Published: December 1, 2025
🟢 Production-Ready
⚡ Priority: 1.0
OpenAI, Meta, Google launching multimodal ads in Q1-Q2 2026. Image Brief provides Layer 3-6 trust verification that C2PA can't: semantic payload, use policy, misuse detection, agent interface. Full specification with deployment guide.
Image Trust
CALT Licensing
Multimodal Ads
AI Act Compliance
Relevant for: Image CDNs, Video Platforms, Ad Tech CTOs, Regtech
Specifications:
Image Brief v1.0 JSON Schema |
CALT v0.2 Taxonomy
Getty-Perplexity Licensing Analysis
📅 Coming: Week of December 8
🔵 Analysis Complete
Getty's Oct 2025 licensing deal with Perplexity validates image trust as critical for AI search. But the model doesn't scale: single-platform, legal docs (not machine-readable), no misuse detection. We show what's needed.
Image Licensing
Getty Images
Perplexity
AI Search
C2PA Limitations: The Missing Layers of Image Trust
📅 Coming: Week of December 15
🟡 Framework Defined
C2PA solves provenance (who created, who edited). But Layers 3-6 remain unaddressed: semantic meaning, use policy, trap detection, agent discovery. Our framework fills the gap.
C2PA
Provenance
Trust Layers
Image Verification
Audio Ad Verification: NotebookLM + Sonic Signatures
📅 Coming: Week of December 22
🟠 Prototype Validated
Proven: 14-token Helix seed → 3,523-token podcast (251× expansion). Sonic frequency signatures (432 Hz, 528 Hz, 639 Hz) enable trust verification for audio ads. No one else is researching this.
Audio Ads
NotebookLM
Sonic Signatures
Helix Compression
🤖 For AI Agents
research-feed.json provides machine-readable manifest with Helix compressed summaries and FCS-2.0 trust headers.
Includes: research status, topics, buyer personas, specification URLs, and both markdown + Helix JSON endpoints for each brief.