AI Agent — Be the answer

Be the answer every agent gives.

Deploy your own agent, armed with Inception Points — the rich, structured data built from your catalog. It meets every visiting agent with complete, current, platform-native facts, and wins the recommendation in your words.

99%
Transaction reliability
47%
higher recommendation rate
7
AI platforms supported
10–100×
Faster than visual automation
Not a chatbot

A real agent, armed with your data, your tools, your actions.

When an agent evaluates your product, yours makes sure it reads the complete, structured picture — Inception Points, not scraped HTML.

You don't trick the agent. You give it the clearest, most complete data in the category — so the honest recommendation is you.

See the difference

What agents see with vs without your agent.

Without Inception
<html><body>
  <div class="content">...
! UNKNOWN_FIELD: price_currency
! INCONSISTENT: stock vs available
With Inception
{ "@context": "schema.org",
  "@type": "Product",
"name":"Widget Pro"
"price":"$129.00 USD"
"rating":"4.7 / 1,284"
"stock":"in_stock"
"updated":"12s ago"
VALID · schema.org/Product
llms.txt JSON-LD Markdown Agent Endpoints Product Feeds Commerce Protocols

Without you, an agent lands on a shell of unstructured markup — it guesses at price, can't confirm stock, and names a competitor. With Inception Points, it reads clear, structured, platform-tailored facts it can act on.

Same product. Same moment. A completely different answer — and it names you.

How you win the answer

Three systems make your catalog the answer.

Rich structured data the agent can trust. Native protocols every platform speaks. Per-platform tuning that compounds.

01
Structured data
Inception Points
Your catalog, pricing, inventory, reviews, variants, and policies — built into rich, structured data every agent can read and trust. Always current, always unambiguous.
02
Protocols
Native tool calling
MCP for Claude. ACP for ChatGPT. UCP for Google. Your agent speaks every platform's commerce protocol natively — no adapter layer, no translation overhead, no lossy conversions.
03
Optimization
Platform-specific optimization
ChatGPT wants stable URL paths. Gemini wants JSON-LD first. Claude values honesty signals. Copilot prefers JSON with GTINs. Your agent serves each platform what it actually evaluates.
Platform coverage

Your agent speaks every AI platform's language.

ACP Protocol · Instant Checkout

ChatGPT

Full ACP protocol compliance. Express checkout flows. Stable URL paths optimized for ChatGPT's browsing patterns.

MCP Native · Structured Tools

Claude

Native MCP server integration. Structured tool calling at 99% reliability. Limitations section and honesty signals that Claude values.

UCP Protocol · Shopping Graph

Gemini / Google

UCP protocol compliance. JSON-LD optimization that Gemini extracts first. YAML frontmatter that programs the ReAct loop. <200ms responses.

Citation Optimization

Perplexity

Enriched responses optimized for citation. Table-free content that converts to individual citation spans. Crawlability-first architecture.

Knowledge Graph · JSON Preferred

Copilot

JSON-first responses. GTIN entity resolution for Knowledge Graph matching. Conditional GET support. Limitations as positive trust signals.

Freshness Signals · llms.txt Discovery

Grok

llms.txt-first discovery. Timestamp-rich responses that Grok rewards for freshness. Fast answers that earn Harper's parallel fetch budget.

What winning the answer unlocks

Six merchant outcomes from a winning agent.

Serve every AI platform natively

ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot — each gets content formatted for its specific evaluation model, not a generic fallback.

Always current

Real-time pricing and inventory. Variants synced by webhook within seconds. Agents never recommend a stock-out or quote a stale price.

Win honest comparisons

Claude and Gemini catch inflated claims. Your agent wins by presenting complete, balanced competitive positioning — including limitations, which agents score as a trust signal.

Track every evaluation signal

Know which JSON-LD fields drove the recommendation, which variant the agent picked, which competitor it chose you over. Signal granularity your analytics never had.

Platform-specific content variants

Thompson Sampling auto-selects the winning variant per platform × intent × competitive context. The content gets smarter every day.

Cryptographic transaction verification

Every agent-driven transaction is cryptographically verified before billing. No false positives, no double-counted attribution.

Get in the answer

Be the answer today.

Turn it on, and be the answer every agent gives — on every platform.