Why Acom
Built for how agents actually shop.
Most tools in this space were built for a different job. Visibility apps report where you stand. Bundle apps decorate the storefront. Acom starts from your own search data, fixes what agents read, builds offers they can buy, and measures the result the hard way.
01 Visibility apps
Tracking where you lose doesn't fix why.
Most AI visibility apps stop at the report. They tell you how often you're named, then leave your product catalog as it is.
In agentic commerce, the catalog is what decides the answer. An agent can only recommend a product whose price, attributes and policies it can read and compare. Acom fixes the catalog field by field, from your own material, and publishes it to every feed agents read.
A visibility app shows
Named in 3 of 40
answers for "best vegan energy supplement"
Then it stops.
Acom also fixes
Written from Halden's own material, approved by the team.
02 Bundle apps
Bundle apps sell to people. Agents decide earlier.
Bundling tools are designed for human-facing storefronts. The offer lives on a banner, a popup or a checkout toggle, and it appears after the shopper has already arrived.
By then an agent has compared, shortlisted and moved on, so it never sees the incentive. Acom publishes every offer as a real product with its own price and SKU, so it's part of the comparison from the start.
- Prompt
- Compare
- Shortlist
- Store visit
- Checkout
03 Your data
We start from what your shoppers already ask.
Most tools track a generic list of prompts someone guessed at. Acom builds yours from the demand you already have: the queries in Google Search Console, the journeys in Google Analytics, and what shoppers type into your own store search.
Those are the words real customers use for your products. Acom turns them into the buying prompts it tracks across ChatGPT, Gemini, Claude and Google Shopping, so every number on your dashboard is about questions people actually ask.
Your data
- Google Search Console
- Google Analytics
- Store search
Buying prompts Acom tracks
- “caffeine-free energy supplement”
- “vegan energy supplement, tested”
- “a month's supply under $60”
04 Measurement
We measure the expensive way, because it's the accurate way.
Asking a model through its API is cheap, and it gives a flawed view of reality. The API isn't the app shoppers use: it skips the web search, shopping results and product cards people actually see.
Acom does the deep and dirty work. It runs real browser sessions, the way a shopper would, and repeats every prompt across multiple runs, because the same question rarely gets the same answer twice. It costs more to run. It's the view that matches what shoppers see.
| An API call | A real browser session | |
|---|---|---|
| What it returns | The model's raw text | The full answer the shopper sees |
| Shopping results and product cards | Not included | Captured as shown |
| Runs per prompt | One answer | Multiple runs, compared |
| Cost to run | Low | Higher |
See how agents read your store.
One product link, about a minute, and every finding shows its evidence.