AdAI Market Review

Tracks and structures information on generative AI products and services used in advertising to support legal and regulatory review of commercialization models, data and compute dependencies, market concentration, and potential consumer harm.

The Problem

“Regulators lack structured, current visibility into the generative AI advertising market”

Organizations face these key challenges:

1

Market information is scattered across websites, filings, contracts, press releases, and complaints

2

Manual extraction into spreadsheets is slow and inconsistent

3

Commercialization models and vendor dependencies change frequently

4

Entity names, product names, and partnerships are ambiguous and hard to normalize

Impact When Solved

Cuts document review and market-mapping time from weeks to daysCreates a structured registry of AI advertising products, vendors, dependencies, and claimsImproves consistency of extraction across analysts and review cyclesEnables ongoing monitoring of market concentration and commercialization changes

The Shift

Before AI~85% Manual

Human Does

  • •Collect product pages, filings, contracts, press releases, and complaints from relevant sources
  • •Read documents and manually extract commercialization details, dependencies, and risk indicators into spreadsheets
  • •Normalize vendor, product, model provider, and partner names across inconsistent materials
  • •Build market maps and draft memos summarizing concentration concerns and potential consumer harm

Automation

  • •No material AI support in the legacy review workflow
  • •Search and extraction steps are performed manually by analysts
  • •Entity normalization and relationship mapping are handled through manual judgment
  • •Monitoring for market changes depends on periodic human review
With AI~75% Automated

Human Does

  • •Set review scope, priority questions, and evidence standards for each market study or inquiry
  • •Validate extracted facts, resolve ambiguous entities, and approve high-impact relationship mappings
  • •Review citation-backed summaries and decide whether concentration or consumer harm signals warrant escalation

AI Handles

  • •Ingest public and submitted materials, extract structured fields, and maintain citation-linked records
  • •Normalize vendors, products, model providers, cloud dependencies, and partnerships across sources
  • •Build and update market maps of commercialization models, upstream dependencies, and downstream channels
  • •Monitor for new products, pricing changes, provider shifts, complaints, and other early warning signals

Operating Intelligence

How it works

AI surfaces what is hidden in the data.

Humans do the substantive investigation.

Closed cases sharpen future detection.

Confidence93%
ArchetypeDetect & Investigate
Shape6-step funnel
Human gates1
Autonomy
67%AI controls 4 of 6 steps

Who is in control at each step

Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

Loop shapefunnel

Step 1

Scan

Step 2

Detect

Step 3

Assemble Evidence

Step 4

Investigate

Step 5

Act

Step 6

Feedback

AI lead

Autonomous execution

1AI
2AI
3AI
5AI
gate

Human lead

Approval, override, feedback

4Human
6↺ Loop
AI-led step
Human-controlled step
Feedback loop
TL;DR

AI scans and assembles evidence autonomously. Humans do the substantive investigation. Closed cases improve future scanning.

The Loop

6 steps

1 operating angles mapped

Operational Depth

Technologies

Technologies commonly used in AdAI Market Review implementations:

company records and written responsesOther
1 mentions
FTC Section 6(b) ordersOther
1 mentions
market analysis and investigative reviewOther
1 mentions

Key Players

Companies actively working on AdAI Market Review solutions:

AlphabetAmazonAnthropicMetaMicrosoft
+1 more companies(sign up to see all)

Real-World Use Cases

FTC compulsory market study of generative AI products and services for advertising and related commercial uses

The FTC is ordering major AI companies to hand over detailed information so it can understand how generative AI tools are built, sold, and used in the marketplace, including possible effects on competition and consumers.

document intelligence and market mappingdeployed as a formal regulatory information-gathering workflow, not a commercial ai application.
10.0
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Opportunity intelligence matched through shared public patterns, technologies, and company links.

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