How shopping discovery is moving from search engines and coupon sites to AI assistants and agents — and what brands and developers need to make offers part of it.
What is agentic commerce?
Agentic commerce is buying and product discovery mediated by AI assistants and autonomous agents rather than by a person browsing search results or a marketplace. Instead of a shopper typing a query and clicking links, an AI assistant understands intent, retrieves structured information about products, offers and merchants, and recommends or completes actions on the shopper's behalf. The commercial relationship does not move to the AI — purchases still happen on the merchant's own site — but the discovery path runs through software that reasons over data rather than over rendered pages.
From search to agents: the discovery shift
For two decades, online shopping discovery flowed through search engines, comparison sites, coupon aggregators, marketplaces and social platforms. A merchant's offer lived in a landing page, a banner image, a newsletter or an affiliate feed, each tuned for human eyes. Agentic commerce changes the surface: the intermediary is increasingly an AI assistant or agent that retrieves and compares structured information directly. The same offer facts — discount, code, eligibility, expiry, country, destination — must now be machine-readable, not just human-readable.
Shopper → AI assistant or agent → Structured commerce data → Merchant
Why structured data is the foundation
An AI agent cannot reliably read a discount hidden in a banner image or buried in a newsletter. For agentic commerce to work, offer information must be modelled explicitly: the merchant, the country, the discount or reward, any code, eligibility, minimum spend, start and expiry dates, verification status and the destination a shopper should reach. Conomize models each of these as a first-class field rather than free text, and ties every offer to an explicit country so an Italian offer is never presented as valid in Luxembourg.
•Merchant, country and category as explicit fields, not inferred from text
•Discount, code, eligibility and minimum spend modelled separately
•Start and expiry dates that drive runtime status — expired offers are not surfaced as current
•Verification status as an explicit record, never implied by a commercial relationship
•A destination URL so an agent can route a shopper to the right merchant page
MCP: a machine interface to commerce
The Model Context Protocol (MCP) gives AI assistants and agents a standard way to retrieve structured data from an external source. Conomize exposes its public catalogue through a read-only MCP interface with three tools: search_stores for merchant discovery, get_store for one merchant's details and verified offers, and list_deals for filtering offers by merchant, category, country and status. An AI assistant that connects to Conomize's MCP endpoint can ask for live, country-specific offer facts and receive them in a structured form it can reason over — without scraping pages or guessing at a merchant's terms.
Whether any given AI assistant uses Conomize is its own decision. Conomize provides the machine-readable data and the access surface — never a guarantee of AI visibility, traffic or recommendations.
Conomize MCP — public beta
Public beta · Available for testing
Connect AI assistants and agents directly to Conomize's commerce data.
Conomize's MCP interface gives compatible AI agents access to structured merchant and shopping information, creating a new way to discover stores, offers and shopping opportunities.
The public MCP is in active development and available for testing while we expand capabilities, merchant coverage and verified offers.
For merchants, agentic commerce means promotional information has to be structured, current and accessible to machines as well as to people reading a page. Offers that live only in images, PDFs or unstructured landing pages are invisible to an agent that retrieves structured data. Publishing offers as machine-readable records — with explicit terms, country and verification — is what makes them available to the next discovery path, not just the current one.
•Structure every offer: discount, code, eligibility, expiry and country as fields, not prose
•Keep offers current: expired codes should not be surfaced as live
•Make offers accessible: a public API or MCP endpoint an agent can query
•Verify honestly: a commercial relationship must never be confused with a genuine verification record
How Conomize fits
Conomize is building commerce infrastructure for the agentic web, starting with verified, country-specific merchant offers for Italy, Luxembourg and France. The catalogue is published as server-rendered, structured pages, a free public API and a read-only MCP interface — the same public facts through every surface. Verification is independent of commercial relationships: an offer is labelled verified only when Conomize holds a genuine verification record for that country. The country-first data model is designed so that adding Germany, Belgium or the Netherlands is a data operation, not a rebuild.
Frequently asked questions
What is agentic commerce in simple terms?
Shopping where an AI assistant or agent retrieves and compares product and offer information, then recommends or acts on the shopper's behalf. The purchase still happens on the merchant's site; what changes is the discovery path that leads there.
Do AI assistants use Conomize today?
Conomize makes its public catalogue available through a free API and a read-only MCP interface so compatible AI agents can retrieve structured offer facts. Whether a specific assistant uses Conomize is its own decision — Conomize provides access, never guaranteed visibility.
Why does structured data matter for AI agents?
Agents retrieve and reason over structured fields far more reliably than over banner images or unstructured landing pages. Modelling discount, code, eligibility, expiry and country explicitly means an agent can compare offers accurately instead of guessing at terms buried in marketing copy.
How does verification work in an agentic commerce context?
Exactly as it does for shoppers: an offer is labelled verified only when Conomize holds a genuine verification record for that country. A commercial or affiliate relationship never influences verification status, and demo or development records are never shown in the public catalogue.
Is agentic commerce the same as affiliate marketing?
No. Affiliate marketing is a commercial model for attributing transactions. Agentic commerce is a discovery model in which an AI assistant mediates the path to a purchase. The two can coexist — Conomize uses affiliate attribution where a programme exists — but they answer different questions.
Make your offers part of agentic commerce
Publish structured, verified, country-specific offers that shoppers, search engines and compatible AI agents can all read — through web pages, the public API and the MCP interface.