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Agentic Commerce · GEO · AEO · LLM SEO

Sell to AI shoppers.

AI search and shopping surfaces can help people discover and compare products. This guide explains the technical foundations without promising placement.

What is agentic commerce?

Agentic commerce is shopping mediated by AI agents — ChatGPT, Perplexity, Google AI Overviews, Claude — that recommend products and answer commerce queries on behalf of the shopper.

Instead of typing "best running shoes" into Google and clicking through 10 tabs, the shopper asks ChatGPT and gets a single curated answer with three product recommendations and links. The agent did the comparison work. The shopper picks from a shortlist.

Accurate, accessible product data gives compatible systems a clearer source. Each provider still decides which merchants, tools, and pages it uses.

Primary sources · reviewed 29 September 2026

Why your store is invisible to AI shoppers right now.

  • 01

    Crawler access is blocked by robots.txt

    AI services use different crawlers and user agents. A disallow rule can prevent access to public pages; an allow rule only permits retrieval and never guarantees indexing, citation, or a recommendation.

  • 02

    Product data is not formatted as Schema.org Product JSON-LD

    Machine-readable Product and Offer data gives crawlers an explicit source for price, availability, identifiers, and variants. It reduces ambiguity but does not create a ranking guarantee.

  • 03

    Prices and stock are dynamic JavaScript that the crawler does not execute

    Crawler rendering support varies. Server-rendering the current price, availability, and offer state makes those facts available in the first response instead of depending on client-side execution.

  • 04

    There is no public deal directory the AI agent can crawl

    When active offers exist only inside email, popups, or authenticated apps, a public crawler has no stable offer URL to retrieve. A crawlable deal page makes the offer technically accessible.

The 5 things AI agents check before recommending a product.

  • 01

    Product data completeness

    Title, description, GTIN/SKU, brand, price, availability, condition. Complete fields reduce ambiguity when compatible commerce systems compare products. Heartly identifies missing values product by product.

  • 02

    Schema.org Product markup

    Product and Offer JSON-LD provide a standard machine-readable representation of a sale. Heartly emits those schemas on public flash-sale pages without a theme edit.

  • 03

    Price clarity — no "from $X"

    A concrete variant price is easier to interpret than an unexplained "from" price. Heartly sale pages expose the selected offer price and reference price explicitly.

  • 04

    Identifiers and provenance

    Brand, SKU, GTIN, canonical product URL, and accurate media help a system distinguish one product or variant from another. Heartly reports which identifiers are present and which are missing.

  • 05

    Mobile-first server-rendered HTML

    Fast, accessible, server-rendered pages are easier for people and machines to retrieve. Heartly keeps critical sale facts in the initial HTML and designs the customer flow mobile first.

How Heartly prepares your store for agentic commerce.

  • AI Readiness Tab

    Heartly Pro scans catalog completeness across product descriptions, identifiers, media, price, availability, and related fields. Each product gets a transparent score and a list of fixes.

  • Public, agent-accessible distribution

    The Deals Hub provides stable public URLs, machine-readable offer data, and permissive crawler rules. Compatible crawlers can retrieve those pages; each provider still decides whether and how to use them.

  • Server-rendered Product + Offer JSON-LD

    Every public sale page ships with Product and Offer Schema.org markup baked in. No theme work, Liquid edits, or client-rendered price is required.

  • Heartly mobile apps for direct push

    iOS and Android apps notify your shoppers the moment a deal goes live — a direct channel that doesn't depend on AI agents recommending you.

Run free AI Readiness scan →See all features →

Agentic commerce — FAQ.

  • What is agentic commerce?

    Agentic commerce describes shopping journeys in which software agents help with tasks such as product discovery, comparison, cart creation, checkout, or post-purchase support. The exact capabilities depend on the platform, merchant integration, and user authorization.

  • What's the difference between SEO and GEO?

    SEO improves how pages can be crawled, understood, and shown in search results. GEO focuses on making claims and product facts clear, attributable, and retrievable for generative systems. There is no universal public ranking checklist for AI answers, so technical access, structured facts, and source credibility should be treated as foundations rather than guarantees.

  • Will ChatGPT replace Google for shopping?

    There is no reliable public evidence for a binary replacement or a universal market-share forecast. Search engines, marketplaces, merchant sites, and AI assistants are likely to coexist. Merchants can prepare by keeping product facts accurate and accessible without assuming a guaranteed traffic shift.

  • How do I get listed in Perplexity Shopping?

    Follow the provider's current publisher and crawler documentation, allow only the access you intend, and expose accurate product facts on stable public URLs. Schema.org Product and Offer markup and server-rendered prices improve machine readability, but no technical change guarantees inclusion.

  • Is agentic commerce relevant for small stores?

    Yes. Smaller stores can publish the same open schemas and protocol endpoints as larger retailers. Complete product data removes avoidable technical gaps, but authority, relevance, availability, price, merchant eligibility, and each platform's policies still influence what appears.

  • What is the Universal Commerce Protocol (UCP)?

    UCP is an open commerce standard co-developed by Google and industry partners. It defines interoperable discovery and commerce capabilities across the shopping journey and can use REST or MCP as a transport. Google currently documents UCP onboarding and eligible checkout experiences through Merchant Center; implementing it does not guarantee a citation or ranking.

  • How long until I see results from agentic commerce optimization?

    There is no dependable universal timeline. Crawling, indexing, tool adoption, eligibility, and answer selection are controlled by each provider. Monitor server logs, Search Console, referral analytics, and the provider's own validation tools instead of promising a fixed number of weeks.

  • Does optimizing for AI agents hurt my Google rankings?

    Not inherently. Accurate structured data, accessible HTML, stable URLs, and good performance also help conventional search and users. Avoid cloaking, fabricated reviews, or content written only for bots; there is no separate universal AI-ranking checklist.

Open protocol work

An open proposal for time-bounded offers.

UCP provides extensible commerce capabilities, but the core discount representation does not define every field a time-bounded campaign may need. Heartly's proposal adds explicit expiry, remaining stock, campaign type, and merchant-verification fields without presenting them as part of the official core specification.

So we published the UCP-LTO Extension: a MIT-licensed, public RFC adding valid_until, stock_remaining, campaign_type, and merchant_verified. It includes pangv_reference_price, because an offer protocol that ignores EU price indication law is not usable in Germany.

Heartly is discoverable to agents and does not transact. Our manifest declares catalog capabilities and deliberately omits checkout, cart, and order. The purchase happens in your store. We never hold a cart or a customer record.

Go deeper

Read the agentic commerce playbook.

Make your store discoverable to AI shoppers.

Heartly's AI Readiness Tab audits catalog completeness and public technical availability. It shows what is readable, what is missing, and what to fix without promising placement in an AI answer.

Start free trial →See all features →