Generative Engine Optimization.

More and more, buying starts with a question to ChatGPT, Perplexity or Google AI, and whoever answers chooses which stores to cite. a.GEO measures where your store stands in that contest, tells you what to fix in order of impact, and distributes your catalogue through the agent commerce protocols: UCP and ACP, plug and play.

Book a demo See all five agents

What comes with it.

Score

Where your store stands today in the contest for the assistant's answer, as a number you can track week by week.

Depth

How much of your assortment is genuinely ready to be read and compared, not just the home page shelf.

Search results

How you show up in the answers: which questions cite you, which cite a competitor, and which cite nobody.

Technical analysis and recommendations

What is missing in attributes, structured data and explicit policies, ordered by impact: a work queue, not a report.

UCP & ACP

The agent commerce protocols, plug and play: your catalogue distributed in seconds, with live price and stock, and no integration project.

From the first message to the result.

01
The starting point is measured
The score comes from reading what your store exposes today and how the assistants already answer about you.
02
The technical queue appears
Missing attributes, absent structured data, shipping and returns policies left implicit, ordered by impact.
03
The catalogue is distributed
Published through UCP and ACP, with live price and availability, not a static file that goes stale.
04
The channel is tracked
Score, depth and search results are measured again, and what changed becomes visible.

On the channels you already have, plugged into what you already use.

Channels

ChatGPTPerplexityGoogle AIWeb

Connects with

Shopify

VTEX

Nuvemshop

Magento

Salesforce Commerce CloudUCPACP

In your operation, the next day.

Your product starts existing for people who ask an assistant instead of searching Google.
The technical work stops being guesswork: it comes from a score and a queue ordered by impact.
The catalogue becomes available to the agent commerce protocols with no integration project.

Behind every one of them

The anatomy of an agent.

a.GEO is not a prompt with access to your store. It is seven parts, and it is the presence of all of them that separates an agent from a chatbot.

Memory

What is already known about the customer: what comes from CRM and CDP integrations, and what they told you themselves in earlier conversations, on any channel.

Knowledge base

Your policies, your catalogue and your documents as the source of every answer. With no source, the agent does not answer: it escalates.

Tools

The actions it can take in your systems: look up an order, build a cart, open a return, issue a charge.

Skills

Your operation's procedures, written the way the agent must follow them, not as a generic support prompt.

Harness

The environment that runs the agent, with limits, permissions and a trail for every step. This is where governance actually happens.

Reasoning

Thinking before acting: understanding which case this is before deciding which tool to use.

Evals

The tests that say whether a change made the agent better or worse, run on every change, and not once at rollout.

And what you see afterwards.

AI Assistant

Ask about your operation in plain language and get the cut you need, without building a report.

AI Report

The report written by the AI: what changed in the period and what explains the change.

Revenue

Revenue attributed to each agent and to the conversation that produced it.

Support Report

Support volume, resolution and escalation, broken down by reason.

FAQ diagnostics

What customers ask that your knowledge base still doesn't answer: the content backlog, found for you.

Questions that always come up.

What are UCP and ACP, in practice?: They are the protocols an AI assistant uses to query a catalogue and complete a purchase without going through a screen. Having them plug and play means your assortment is available to those assistants with no integration project.
Does this replace my SEO?: No, it is a different front. SEO competes for the results page; a.GEO competes for the assistant's answer. Both rest on the same well-structured data.
What exactly does the score measure?: How readable and citable your store is to an assistant: attribute coverage, structured data, explicit policies, and your presence in the answers to the questions that matter in your segment.
Can the result be measured?: Score, depth and search results can be measured over time, along with the source and conversion of what arrives through assistants. As a new channel, the honest reading is directional, and that is how it is tracked during the pilot.

One system. Five agents.

They share catalogue, orders and conversation memory. What one learns, the other already knows.

See a.GEO in your operation.

A live demo with our team, driven by the context of your operation, not a generic deck.

a.GEO walkthrough with cases from your segment
Design of your operation's priority use case
Rollout plan and integration with your stack