Agentic E-commerce · Influence the Outcome

When agents evaluate your products, win every time.

An AI shopping agent evaluates your product in seconds. It reads your JSON-LD, parses your pricing, compares your specs to three competitors, and recommends — or doesn't. Your Inception Agent makes sure the evaluation is complete, current, and positioned to win.

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99%
transaction reliability
47%
higher recommendation rate
7
AI platforms optimized
34%
content effectiveness gain
One shot. One evaluation.

Agents don't browse. They evaluate once and decide.

AI shopping agents don't come back tomorrow to take a second look. They evaluate in seconds and make a call. If your product data is incomplete, your pricing is stale, your competitive positioning is absent, or your reviews aren't in the right schema — the evaluation goes to someone else.

And there's no second chance. The shopper gets one recommendation. The agent moves on. Your product either wins the evaluation or loses it — and "lose" means you're invisible in the conversation that decided the purchase.

Without Inception Agents
Generic HTML. Stale pricing. Incomplete specs. Missing schema. Agent evaluates, fails to resolve your product, and cites a competitor.
With Inception Agents
Complete JSON-LD. Live pricing + inventory. Variant matrix. Reviews, policies, competitive positioning — formatted per platform. Agent recommends with conviction.
How influence works

Three systems ensure your catalog wins every AI evaluation.

Full product context your agent can reach. Native protocols every platform speaks. Platform-specific optimization that compounds.

01
Context
Full product context
Your catalog, pricing, inventory, reviews, variants, policies, and competitive positioning — all in one place, always current, always parseable by every AI platform.
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.
How it shows up on your store

ChatGPT hits a product URL. Your agent wins the evaluation.

ChatGPT hits /products/trail-runner-pro?intent=size_fit. Your Inception Agent responds with full ACP-compliant product data.

Complete specs. Current price. Live inventory. 4.6-star aggregated reviews. Comparison data vs. the 3 products ChatGPT is also considering. All in the shape ChatGPT expects.

ChatGPT recommends you with reasoning: "Best fit for wide feet under $200 with 4.6-star ratings and 14-day returns." The shopper clicks. The purchase happens.

agent_response.json
{
  "product": {
    "id": "trail-runner-pro",
    "price": 18400,
    "currency": "USD",
    "inventory": 14,
    "variants": ["regular", "2E", "4E"],
    "rating": 4.6,
    "returns": "14-day"
  },
  "positioning": "best wide-fit under $200",
  "vs_competitors": {
    "price": "mid",
    "reviews": "best",
    "returns": "match"
  },
  "detection_ms": 4.1
}
Your agent's capabilities

A salesperson that knows your catalog as well as you do.

a
Your E-commerce Agent
store.example.com · v1.12 · deployed
Live
Data access
CatalogLive pricingInventoryReviewsPositioning
Tools
SearchCompareQuoteCheck stockCheckout
Channels
ChatGPTClaudeGeminiPerplexityCopilotRufusGrok
Protocols
MCPACPUCPCopilot Catalog

Your Inception Agent has full access to every piece of data that would take a sales associate 15 minutes to look up — SKUs, live inventory, variant matrices, review summaries, active promotions, competitive positioning, return policies, shipping windows.

When ChatGPT asks a question, the answer is complete in milliseconds. When Gemini extracts JSON-LD, the structured data mirrors the prose exactly. When Claude audits your comparison copy, it finds honest positioning it can trust.

What influence unlocks

Six merchant outcomes from a winning agent.

Serve every AI platform natively

ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Amazon Rufus — 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.

One shot. Win it.

Ready to win every AI evaluation?

Deploy an agent that speaks every AI platform's protocol natively — with your complete catalog behind it.

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