One Ad. Every Agent.
Full Attribution.

The vendor-neutral attribution layer for ChatGPT, Gemini, Rufus, Meta AI, and Claude.

OpenAI, Amazon, Meta, Google, and Microsoft are building separate agent ad stacks. Your brand needs one creative package that works everywhere—with full cross-agent ROI measurement.

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Security & Compliance →
5
Walled gardens (ChatGPT, Gemini, Rufus, Meta AI, Copilot)
1
Creative package (upload once, deploy everywhere)
0 PII
Behavioral tracking (GDPR/CCPA compliant)
100%
Cross-agent attribution (full ROI visibility)

The Multi-Agent Fragmentation Problem

Every major platform is building separate agent ad stacks. None will interoperate. Brands face 5x complexity.

Platform Agent Product Ad Status Will They Share?
OpenAI ChatGPT Beta testing (Q1-Q2 2026) ❌ No (closed AdTarget)
Amazon Rufus Testing sponsored slots ❌ No ($75B at stake)
Meta Meta AI (IG/FB/WA) ✅ Live (Dec 16, 2025) ❌ No ($130B auction)
Google Gemini/SGE ✅ Live (US testing) ❌ No (70% incumbent)
Microsoft Copilot/Bing ✅ Live (since 2023) 🟡 Maybe (Azure only)

What This Means for Brands:

  • ❌ 5 separate ad campaigns (5x creative production cost)
  • ❌ No cross-agent measurement (blind budget allocation)
  • ❌ Unknown ROI by agent (can't optimize spend)
  • ❌ 5 separate compliance audits (5x legal overhead)

→ Contextual-ads.ai solves all four problems with one protocol.

Sources: OpenAI Android beta leak (TestingCatalog), Meta AI personalization announcement (Dec 2025), Amazon Rufus testing (WSJ), Google AI Overviews (Google Ads Help), Microsoft Copilot ads (Microsoft Advertising)

How It Works

Deploy trust-verified ads on your domain in under 30 minutes

1

Publish Your Ad

Place a JSON file at /feed/ads.json on your domain with product details and value props

2

AI Discovers

When users query AI platforms, agents check your namespace for relevant ads

3

Semantic Match

AI matches query intent to your ad content—no user profiling required

4

Verified Display

FCS-1.0 headers verify authenticity; ad appears in AI response

What CAP Is—And Isn't

Clear boundaries for privacy-preserving advertising

Contextual Ads Protocol IS:

  • Semantic matching of page context to ad content
  • Self-published ads on your own domain
  • FCS-1.0 trust headers for verification
  • GDPR/CCPA compliant by design
  • AI-agent native (ChatGPT, Claude, Perplexity)

Contextual Ads Protocol IS NOT:

  • User tracking or behavioral profiling
  • Cookie-based retargeting
  • Third-party ad networks
  • Browser fingerprinting
  • Requires consent banners

Trusted by Security & Marketing Teams

CAP is engineered for measurable lift and audit-ready transparency

E-Commerce Pilot

Fashion Retailer

Deployed CAP for seasonal campaign targeting AI shopping assistants

+18% ROAS
30-day Rollout
SaaS Platform

B2B Software

Replaced cookie-based ads with semantic namespace discovery

$0 Compliance costs
2× Lead quality
Enterprise Finance

Payment Processor

GDPR-first advertising for European expansion

100% Compliant
3 weeks Deploy time

Transparent Pricing

Simple, fair pricing for organizations of all sizes

Starter
Free
Self-service implementation
  • Full protocol specification
  • Cloudflare Worker template
  • Community support
  • Bronze verification badge
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Professional
$499/mo
For growing brands
  • Everything in Starter
  • Enhanced verification
  • Priority support
  • Silver verification badge
  • Analytics dashboard
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Enterprise
Custom
For large organizations
  • Everything in Professional
  • Full audit & monitoring
  • Dedicated support
  • Gold verification badge
  • SLA guarantees
  • Custom integration
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Frequently Asked Questions

Common questions from enterprise buyers

How does CAP find "semantic proximity"?

AI agents analyze query intent using embeddings, then match against advertiser-declared value propositions in the /feed/ads.json namespace. Matching happens at query-level, not user-level—no profiling required.

Does CAP require new ad servers?

No. You simply publish a JSON file on your existing domain. AI platforms discover it through namespace crawling. No third-party infrastructure needed.

How is performance measured?

Standard metrics: impressions (AI response inclusions), clicks (user engagement), and conversions. FCS-1.0 headers enable attribution without tracking individual users.

Is CAP GDPR/CCPA compliant?

Yes, by design. CAP processes zero personal data. Matching uses page semantics, not user profiles. This means: no consent banners, no data breach liability, no cross-border data transfer issues.

What about the EU AI Act and DMA?

CAP aligns with DMA Article 5-6 (transparent provenance) and EU AI Act (explainable, non-discriminatory matching). FCS-1.0 headers provide audit-ready verification.

Ready to Deploy Privacy-First Ads?

Start with the free tier today. Upgrade anytime for enhanced features and support.

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