Inception for agentic commerce

AI agents are shopping your site. We capture it. Optimize it. You convert it.

Inception Agents builds a living intent graph from every agent visit, deploys your own AI agent with full product context, and re-activates that intent into targeted conversions. From signal to sale.

See Your AI Visibility Score → How It Works → Shopify · Woo · BigCommerce · Magento · SFCC

Built for
every storefront

4,700%

Growth in AI shopping

47%

Higher conversion rate

128k+

Intent signals captured

3×

ROAS on re-activation

01 — The intent signal you're missing

Your customers are telling AI agents exactly what they want. You're not hearing any of it.

A customer tells ChatGPT exactly what they need — budget, features, preferences. That agent visits your site, evaluates your product in seconds, and either recommends you or moves on. You never see the intent. You never get a second chance. Until now.

01 / 03

Invisible Intent

AI agents carry rich purchase intent — budget, preferences, comparison context — but none of it shows up in your analytics. The most valuable signal on the web is invisible to you.

02 / 03

One-Shot Evaluation

Agents don't browse. They evaluate once and decide. If your content isn't structured for that instant evaluation, you lose the recommendation — and the customer behind it.

03 / 03

No Feedback Loop

You can't improve what you can't measure. Without capturing agent intent signals, there's no way to learn what works, iterate, or re-engage the customer who was ready to buy.

02 — How it works

Understand. Act. Convert.

Three systems, one loop. Detection feeds the graph. The graph arms your agent. Your agent converts — and every interaction makes the next one sharper.

01 Detection + Intent Graph

Understand.

Every AI agent that visits your site is detected in under 5ms. Their intent — what they're evaluating, who they're comparing you to, what the customer behind them wants — flows into your Intent Graph.

Behavioral fingerprinting across 7 AI platforms
Intent classification — product, pricing, comparison, evaluation
Living Intent Graph that compounds with every visit

02 AI Agent + Optimization

Act.

Your own agent — with full access to your product data, pricing, inventory, and competitive intelligence — engages visiting agents on your behalf. It serves optimized content tailored to the platform, the intent, and the competitive landscape.

Full product context — catalog, pricing, reviews, positioning
Native tool calling — MCP, ACP, UCP protocols
Platform-specific optimization for ChatGPT, Claude, Gemini, and more

03 Intent-Targeted Re-activation

Convert.

An agent evaluated your product for a customer. That customer didn't convert immediately. Now you re-activate them with targeted ads informed by exactly what the agent was looking for. Intent-level precision. Closed-loop attribution.

Intent-driven audiences built from agent signals
Re-activation across major ad platforms
Full attribution from agent visit to sale

03 — Five layers of agent readiness

Before

How agents see you now.

An AI agent lands on your PDP. It sees a shell of divs and JS-rendered prices. It can't resolve sizing. It can't confirm stock. It cites a competitor.

Layer 01

JSON-LD + discovery links, always on.

Agents find an unambiguous product graph the instant they arrive. Price, inventory, variants, return policy — resolvable, not guessed.

Layer 02

Content that reshapes for the agent that asked.

The same URL returns richer, agent-optimized responses when an LLM is reading. Humans get the page. Agents get the graph.

Layer 03

/agent/* routes for machine callers.

First-class endpoints your customer's agent can reach directly — product, availability, compare, quote — with cacheable JSON and typed errors.

Layer 04

Forms and checkouts optimized for CUAs.

Computer-use agents complete flows reliably — no popups, no ambiguous labels, no layout shifts. Designed for 99% tool-call success.

Layer 05

Claude-native tool calling over your catalog.

Expose search, compare, availability, and quote as MCP tools. Every action cryptographically verified. Only pay on confirmed conversion.

Before Without Inception

Layer 01 Structured surface

Layer 02 Detection-aware content

Layer 03 Explicit endpoints

Layer 04 Express flows

Layer 05 MCP server

agent_view · /products/trail-runner-pro ● unstructured ● structured · 100%

// agent attempts to parse product
UnresolvedError: price=null, stock=?, variants=unreadable


<div class="prod-wrap">
  <div class="hero-img" data-src="…"></div>
  <h1 class="t">Trail Runner</h1>
  <span class="p" data-price></span>
  <div class="variants js-hydrate"></div>
</div>

→ agent recommends competitor.

{

" @context ": "schema.org" ,

" @type ": "Product" ,

" name ": "Trail Runner Pro — 2E Wide" ,

" sku ": "TRP-2E-US11" ,

" price ": 184.00 USD ,

" inventory ": 14 units · ships 1d ,

" variants ": [regular, 2E, 4E] ,

" endpoints ": /agent/product · /agent/compare ,

" express ": /agent/checkout/express ,

" mcp_tools ": [search, compare, quote, buy]

}

resolvedinventory-livevariants-typed/agent/*expressmcp

04 — Intent Graph

A living map of what your customers want — built from every agent visit.

AI agents arrive carrying your customers' intent — budget, preferences, comparisons, urgency. The Intent Graph maps every signal into a living, compounding data structure that powers your agent, your content, and your re-activation campaigns.

Compounding data moat

The graph gets richer with every interaction. Competitors starting later can never match your accumulated intelligence.
Cross-platform patterns

How ChatGPT evaluates differs from Gemini differs from Perplexity. The graph captures platform-specific behaviors and preferences.
Feeds everything downstream

Your AI agent uses graph context for better answers. Your content optimizes around real demand. Your re-activation targets with intent-level precision.

Learn more →

Intent distribution

Last 30 days

Live

Product Discovery 38%

Pricing Comparison 27%

Feature Evaluation 19%

Competitive Analysis 11%

Availability Check 5%

05 — AI Agent

An agent that knows your business as well as your best salesperson.

Deploy an AI agent with full access to your product data, pricing, inventory, and competitive intelligence. It engages visiting AI agents on your behalf — answering queries, serving optimized content, and completing transactions across every major platform.

Your Inception Agent

acme-co · v1.12 · deployed

LIVE

Data access

Product catalogReal-time pricingInventoryReviewsCompetitive positioning

Tools

SearchCompareCheck availabilityGenerate quotesProcess orders

Shopping agents

ChatGPTClaudeGeminiPerplexityGrokCopilotRufus

Protocols

MCP (Claude)ACP (ChatGPT)UCP (Google)

Full product context

Every SKU, every variant, every price point, every review. Your agent has the complete picture.
Native tool calling

MCP, ACP, and UCP protocols for structured operations. 99% reliability vs 60–80% for visual automation.
Verified transactions

Cryptographic verification on every action. Only pay for confirmed conversions.

06 — Intent-Targeted Re-activation

The first platform that re-activates AI agent intent into conversions.

An AI agent evaluated your product for a customer. That customer didn't convert immediately. Now you can re-activate them with targeted ads informed by exactly what the agent was looking for. Intent-level precision. No other platform can do this.

The Intent-to-Conversion Loop

AI agent visits with purchase intent

Customer asks ChatGPT for product recommendations

Intent Graph captures signals

Budget, features, competitor context mapped

Intent activates re-activation campaign

Audience created from agent intent signals

Customer converts

Full attribution from agent visit → ad → sale

07 — The compounding advantage

The graph gets smarter with every interaction. Your competitors can't catch up.

Every agent visit enriches your Intent Graph. Every interaction trains your AI agent. Every conversion sharpens your re-activation targeting. The longer you run, the wider your advantage grows.

128,000+

Intent signals captured

34%

Content effectiveness gain

47%

Higher conversion rate

08 — Your AI coworker team

Cowork with Inception Agents.

A team of specialist AI coworkers working alongside you — inside Claude Cowork and ChatGPT Codex, the tools your team already uses. Not another dashboard. Not another login. A team.

ANALYST

Visibility Analyst

Measures how well AI agents see your store across every platform — surfaces gaps before they cost you a recommendation.

RESEARCHER

Competitive Intel Researcher

Audits your rivals on a schedule, returns positioning gaps and differentiation opportunities ranked by impact.

STRATEGIST

A/B Test Strategist

Runs Thompson Sampling across answer variants — picks winners continuously without human babysitting.

ACTIVATOR

Audience Activator

Builds high-intent audiences from real agent shopping signals, activates them straight into Meta, Google, and TikTok.

EXECUTIVE

CMO Briefing Agent

Executive-grade revenue, ROAS, and competitive positioning — narrated as a brief, not a dashboard scavenger hunt.

OPTIMIZER

Content Optimizer

Finds the quick wins in your product copy and schema — the changes that move the needle on recommendation rate.

WORKS WHERE YOUR TEAM ALREADY WORKS

Native to Claude Cowork. Native to ChatGPT Codex.

Claude Cowork

YOU Show me which competitors agents are recommending over us this week.

COMPETITIVE INTEL RESEARCHER Three rivals winning more recommendations on price comparisons. Two opportunities flagged →

ChatGPT Codex

CODEX inception.run("audit_visibility", domain="acme.com")

VISIBILITY ANALYST Coverage at 73% across 7 platforms. Gemini under-indexes on Product schema — patch ready.

AUTONOMOUS ANALYST TIER

Or let them optimize while you sleep.

Your Schema Enhancement Autopilot drafts JSON-LD improvements overnight and waits for your approval before publishing. JSON-LD is invisible metadata — purely additive, instantly reversible, never changes what a human sees. Nothing applied without you.

Approval gates Audit log One-click rollback

See how Autopilot works

Meet your full team → See coworkers in action

08 — For developers

Built for developers and their AI coding agents.

First-class endpoints, typed errors, verifiable attribution, and an MCP server so Claude can call your catalog directly. Drop-in for Shopify, Woo, BigCommerce, Magento, and SFCC.

Typed, versioned, boring

Stable /v1 endpoints. Structured errors. No SDK gymnastics. Your coding agent groks it on first read.

Attribution fingerprint

Every response carries a verifiable fingerprint. Reconcile agent → visit → conversion across any platform.

MCP server included

One install. Claude can search, compare, quote, and buy — using your real catalog.

/v1 · stable

// Resolve a product for an agent caller
GET https://api.inceptionagents.com/v1/agent/product/trail-runner-pro
Authorization: Bearer ia_live_•••
X-Agent-Surface: chatgpt.web
X-Agent-Intent: size_fit

{
  "product": {
    "id": "trail-runner-pro",
    "price": 18400,
    "currency": "USD",
    "inventory": 14,
    "variants": ["regular", "2E", "4E"]
  },
  "attribution_fingerprint": "af_7C•••",
  "detection_ms": 4.1
}

// MCP tool call from Claude
tools.call({
  name: "inception.compare",
  arguments: {
    query: "wide trail runner under $200",
    surface: "claude.ai"
  }
})