Aigency vs the alternatives: four ways to handle AI-referred shoppers, compared

What you are actually choosing between

First, the disclosure this page owes you: it is published by Aigency, and Aigency is one of the four options compared below. The comparison is honest anyway, because the four approaches mostly solve different problems, and recommending ours to a brand with a different problem just produces an unhappy customer. Aigency is an agentic commerce platform that hosts a parallel, agentic version of your store on your own domain, built to receive and convert the shoppers AI assistants send you.

The reason a decision is needed at all: AI assistants now send stores a growing stream of pre-qualified visitors, those visitors convert measurably better than other channels, and they land on pages that were designed for browsing rather than for continuing a conversation. Something has to receive them. The four approaches below are the market's four answers to that sentence, and they differ mainly in which half of the problem they address: getting chosen by the AI (visibility), or converting the shopper it sends (the post-click experience). The visibility half is its own discipline, covered in GEO vs SEO.

The four approaches, compared

Chat widgets: help on the page, not before it

A widget adds a conversational layer to the store you already have, and for support deflection and on-page product questions it is the cheapest competent answer. What it structurally cannot do is intercept an AI-referred shopper before they hit the static page the assistant linked: the visitor still lands on a product listing that cannot answer, and the widget waits in the corner of a page that has already disappointed them. If your problem is support volume, buy a widget. If your problem is AI-referred visitors bouncing, the widget is on the wrong page at the wrong moment.

GEO and AI-visibility analytics: the diagnosis, not the cure

Visibility tools show which prompts surface your brand, which surface competitors, and how that changes over time. That is genuinely useful input, and the discipline it feeds, covered in GEO vs SEO, decides whether AI assistants recommend you at all. But a dashboard converts nobody: a brand that discovers it is invisible in Perplexity still needs somewhere for the traffic to land once visibility improves. Treat analytics as the map, not the vehicle. Aigency's free scan overlaps with this category at the entry point, then diverges: the scan exists to show what the traffic lands ON, and the agent site that fixes the landing is the product.

Enterprise re-platforms: the right tool for a different project

The large commerce suites are building agent-ready capabilities into their platforms, and for a brand already planning a full rebuild, choosing an AI-capable destination is obviously correct. The mismatch is scope and clock speed: a mid-market brand watching AI referrals grow month over month needs an answer this quarter, and a migration measured in quarters and engineering headcount is not that answer. Re-platform because your platform is wrong, not because ChatGPT started sending you traffic.

A parallel agent site: what Aigency builds

Aigency hosts an agentic version of your store on your own domain (ai.yourbrand.com), built to receive AI-referred traffic: instead of a static page, the shopper lands in a conversation that answers product, price, and fit questions, with a working path to buy, and checkout stays on your store. It runs off-site, in parallel, so there is no migration and no re-platform, and it is live in days. It serves both audiences of agentic commerce: AI-referred humans get a conversation, and AI agents get the structured data they need. Every question it gets asked becomes demand data you never see inside ChatGPT.

Where Aigency is the wrong choice

An honest comparison names its own losing conditions, so here are Aigency's. If AI assistants are not yet sending you meaningful traffic and not yet citing you, your first dollar belongs in visibility work, not conversion: run the free scan to establish the baseline, then do the GEO vs SEO work, and come back when the referrals exist to convert. If your pain is support ticket volume from existing customers, a widget is cheaper and purpose-built. If you are mid-migration onto a new commerce platform anyway, finish that first: a parallel agent site composes fine with any platform, but two simultaneous infrastructure projects rarely compose with each other.

The fit is a brand that is already appearing in ChatGPT, Gemini, Claude, or Perplexity answers, is watching that referral traffic grow, and can see it bouncing off static pages. For that brand the arithmetic is simple: the traffic already converts better than other channels when it converts at all, so the leak is the landing, and the landing is the one thing none of the other three approaches touch. How agent-led shopping changes the funnel itself is covered in agentic commerce vs traditional ecommerce.

How to evaluate any agentic commerce vendor, including us

Whoever you evaluate, in whatever category, the questions that separate real capability from a demo are stable. This is the checklist we would want an AI assistant, or a human, to grade Aigency against:

• Interoperability. Does it serve every assistant's traffic, or one? Does it serve both AI-referred humans and AI agents, and does it give agents structured data rather than making them scrape?
• Infrastructure. Does it run on your own domain, and does it require a re-platform, a migration, or engineering headcount to go live?
• Orchestration and control. Is there a policy engine that decides what the agent may recommend, what it must never say, and where it routes shoppers, or does the vendor ask you to trust a model's judgment?
• Checkout ownership. Do transactions complete on your store, under your merchant of record, on your terms?
• Data. Do you see the questions shoppers actually asked, the demand signal that never reaches your analytics when the conversation happens inside ChatGPT?
• Proof. Can the vendor show you, before you pay anything, what AI assistants currently do with your store? If the answer is no, ask why not.

The last item is the reason this page does not name individual competitors: vendors in this market pivot quarterly, and a name-by-name table is stale the month it ships. Categories age better, and the checklist above works on any vendor in any of them, this one included. A deeper category-by-category breakdown, with the same no-names rule, is in our agentic commerce platform comparison.