See where AI assistants send your buyers — and why they pick someone else.

---
title: ChosenByAgent — AI visibility & agentic commerce testing
canonical: https://chosenbyagent.com/
updated: 2026-10-22
audiences:
  - marketplaces
  - sellers
  - brands
offers:
  - A5
  - BP
  - B1
  - A2
  - A3
  - A4
  - B2
  - B3
  - B4
  - A6
  - B7
  - A7
evidence:
  - chatgpt-session-share
  - agentic-checkout-share
  - api-consumer-overlap
  - non-shopify-stalls
description: Independent testing of where AI assistants send buyers and whom shopping agents pick — for marketplaces, the sellers on them, and brands.
---

# See where AI assistants send your buyers — and why they pick someone else.

Wherever an AI agent chooses, we test the choice · for marketplaces, sellers and brands

ChosenByAgent is an independent testing service that measures how AI assistants and shopping agents choose between platforms, sellers and brands — for marketplaces, the sellers on them, and brands.

We run ChatGPT, Gemini, Claude and shopping agents through your buyers’ real questions. You see which platform they send buyers to, which listings and sellers they show, which brand they pick and where they fail on your site — and what to fix first.

Reading · routing (Illustrative — not client data): “used road bike under €300, Lyon” — gpt-6.1-sol: vertical, gemini-3.8: vertical, sonnet-5.5: horizontal. Real audits run 15 repeats per cell.

Start here: [I run a marketplace](/for/marketplaces.md) · [I sell on marketplaces](/for/sellers.md) · [I run a brand or store](/for/brands.md)

## Small today, decided by a few models — and it shifts with every release.

- **0.2%** — ChatGPT drove about 0.2% of e-commerce sessions across 973 stores between August 2024 and July 2025. [Marketing Science (INFORMS), 2025, independent](https://pubsonline.informs.org/doi/full/10.1287/mksc.2025.0489)
- **3.16%** — 3.16% of agentic requests reach checkout and payment, while 69.6% land on product and search pages. [HUMAN, 2026-04, vendor](https://humansecurity.com/learn/blog/state-of-agentic-traffic-april-26)
- **15–32%** — Brands named in API answers overlap with what consumer assistant apps show on only 15–32% of brands. [Surfer, 2026, vendor](https://surferseo.com/blog/llm-scraped-ai-answers-vs-api-results)
- **79 / 123** — A shopping agent stalled on 79 of 123 stores outside Shopify, versus 5 of 121 Shopify stores. [agent-checkout-study (D. Walia), 2026, independent](https://github.com/d-walia/agent-checkout-study)

## Where agents choose — and who competes there.

An assistant makes four choices before a buyer pays. Start with the question you would ask about yours.

### Which platform or store to open

Level 1 · Channel. Marketplaces compete with each other and with brand stores.

- [Q01 · Where do AI assistants send my buyers?](/questions/where-do-assistants-send-buyers.md) — Marketplaces, Brands · A2 Routing & listing audit · from €2,500 (one-off)
- [Q08 · What changed after the last model update?](/questions/what-changed-after-the-update.md) — Marketplaces, Sellers, Brands · A6 Monitoring · from €800 (per month)

### Which listing and seller to show

Level 2 · Listing. Sellers compete inside a marketplace; the platform owns the shelf.

- [Q02 · Do assistants show my listings correctly?](/questions/are-my-listings-shown-right.md) — Marketplaces, Sellers · A2 Routing & listing audit · from €2,500 (one-off)
- [Q03 · Does my ChatGPT app or MCP work as intended?](/questions/does-my-ai-app-work.md) — Marketplaces · A3 AI channel check · from €3,000 (one-off)
- [Q09 · Why does the agent pick another seller’s offer for the same item?](/questions/why-does-the-agent-pick-another-seller.md) — Sellers · B7 Listing visibility check · from €900 (one-off)
- [Q10 · Do AI assistants show my listings on marketplaces at all?](/questions/do-assistants-show-my-listings.md) — Sellers · B7 Listing visibility check · from €900 (one-off)
- [Q11 · Which of my sellers do AI assistants surface — and why?](/questions/which-sellers-do-assistants-surface.md) — Marketplaces · A7 Seller insights for platforms · from €4,000 (one-off)

### Which product or brand to pick

Level 3 · Product. Brands and sellers compete within a category.

- [Q06 · Which brand does the agent pick — and why?](/questions/which-brand-does-the-agent-pick.md) — Brands, Sellers · B3 Choice test · from €3,000 (per category)
- [Q07 · What changes if I change price, returns or copy?](/questions/what-if-i-change-the-offer.md) — Brands, Sellers · B4 Offer lab · from €1,000 (per experiment)

### Getting through the path and the deal

Level 4 · Action. Stores and platforms decide whether an agent gets through — and how it behaves.

- [Q04 · Do buyer and seller agents behave safely on my platform?](/questions/are-agents-safe-in-my-chats.md) — Marketplaces · A4 Agent red team · from €5,000 (one-off)
- [Q05 · Can a shopping agent actually get through my site?](/questions/can-an-agent-get-through.md) — Brands · B2 Agent access audit · from €1,500 (one-off)

## Testing, not another AI-visibility dashboard.

### Mention monitoring

- Counts how often your name appears in answers
- One run, one moment, no repeat
- A share that looks like market share

### What we test

- Which option the assistant recommends and why — mentioned versus chosen
- Repeated runs per question, each stamped with model and date
- Live checks of every listing it shows, and agents walking your store to the payment page
- Manual calibration in the consumer apps, and limits stated in every report

## Start with a four-week pilot.

4 weeks · fixed scope

### Marketplace pilot

Marketplaces & classifieds. Routing & listing audit, AI channel check and agent red team, calibrated against your assistant referral traffic.

A5 · from €7,500 (one-off) · A2 + A3 + A4 €10,500 separately · 4 weeks

### Brand pilot

Brands & online stores. Agent access audit plus a choice test in one category — where agents stop, whom they pick and why.

BP · from €4,000 (one-off) · B2 + B3 €4,500 separately · 4 weeks

## Measured honestly, or not at all.

1. **Run** — Real buyer intents in your markets and languages, through official APIs with web search, many repeats per cell.
2. **Stamp** — Model, harness version, date. Comparisons across a model update are flagged.
3. **Map** — Sold-as-live, wrong prices, lost attribution, blocked agents — checked by hand and against your logs.
4. **Fix** — Prioritised changes with an owner each, and a re-run after the next model release.

**What we don’t claim:** forecasts of what any consumer agent will buy, or “agent conversion”. Our numbers are a versioned index.

`RUN · gpt-6.1-sol · harness 0.4 · 2026-10-21` — [Read the method](/method.md)

## Paid by the companies we measure for — never by AI vendors.

A marketplace and its sellers can both be our clients: each seller sees only their own results, and the platform never sees them without the seller’s consent. The method is the same for everyone, and we sell no placement.

[Read the independence policy](/about.md)

## Start free.

### Benchmark v0

For marketplaces. How assistants route demand across European classifieds: 5 markets, 4–5 languages, ~12k queries, 200 manual runs. In preparation — get early findings before publication. [Get the results first](/benchmark.md)

### Free agent snapshot

For sellers and brands. One buyer scenario on your store, or ten buyer queries for your marketplace listings — three models, about 30 runs. See where an agent stops, or whom it shows instead of you.

Agents: POST /api/engagements (application/json) with {"offer_id": "B1", "on_behalf_of": {"email": "…"}, "agent": {"name": "…"}}. The person confirms by email before we see the request. Details: /agents.md

## We practise what we test.

Agents can read every page as Markdown, compare our prices and request work for you. You confirm by email before anything happens.

```sh
# read any page as Markdown
curl -H "Accept: text/markdown" \
  https://chosenbyagent.com/questions/can-an-agent-get-through

# request work for a person (they confirm by email)
curl -X POST https://chosenbyagent.com/api/engagements \
  -H "Content-Type: application/json" \
  -d '{"offer_id":"B2","on_behalf_of":{"email":"…"},"agent":{"name":"…"}}'
→ 202 pending_confirmation
```

Formats, limits and confirmation: /agents.md · /llms.txt · /catalog.json

## Tell us what you want tested.

Audits and pilots get a scope, a fixed price and a start date. The free snapshot comes straight to your inbox.

Agents: POST /api/engagements (application/json) with {"offer_id": "A5", "on_behalf_of": {"email": "…"}, "agent": {"name": "…"}}. offer_id for this page: "A5" Marketplace pilot; "BP" Brand pilot; "B1" Agent snapshot (free). The person confirms by email before we see the request. Details: /agents.md