Your market.
Your customers. Your shelf.
See your AI visibility in the context that matters: local questions, local competitors, and the places your customers actually shop.
See every shelf you’re on. And every one you’re not.
One test, three AI engines, scored against the marketplace giant that actually matters in your market.
Three AI shelves, one verdict
Real shopper questions run on Claude live and compared against ChatGPT and Gemini. A brand that wins on one engine and vanishes on another finds out here.
Your slice of every answer
Of all the recommendation slots AI hands out in your category, how many are yours?
Not just Amazon
Flipkart in India, Noon and Boutiqaat across the Gulf — whoever’s actually eating your shelf in your market, not a generic “Amazon” stand-in.
Comparable, not vibes
Every brand in a category is tested on the same question set — so your score means something, and category leaderboards become possible.
Know exactly why you’re losing — and to whom.
Real telemetry from the AI’s own process. Not estimates — the actual searches it ran and sources it trusted.
Win the mention, lose the sale?
For every recommendation we record where the AI sends the buyer: your store, or a marketplace listing of you — where you pay commission and rent your own customer.
How AI describes you
We analyze the exact language AI uses about your brand and hand you the label it’s silently attached to you.
“the budget option”The searches behind the answer
The literal web searches the AI ran before recommending. Rank for these and you’re inside the answer.
The sites that decide the shelf
The domains that fed the AI’s answer, ranked. Getting reviewed there matters more than your own homepage. It’s your PR target list.
Then take the shelf space back.
Monitoring without fixing is a subscription to bad news. StockedBy closes the loop.
Ranked by your failure mode
Not stocked, outshelved, or losing checkouts — each verdict gets its own prioritized plan: structured data, content targets, source outreach.
One-click machine-readability
Auto-generated Product JSON-LD, llms.txt and structured feeds from your catalog — the layer no monitoring tool ships.
Generate the fixAI answers shift monthly
Your shelf score is a snapshot, not a certificate. We re-run your category and email you when your position moves.
Built for what’s next
As agentic checkout standards (UCP, ACP) roll out, being readable stops being enough — agents will transact. We track your readiness.
When agents start buying, trust becomes the product.
Agentic checkout (UCP, ACP) means AI agents won’t just recommend — they’ll transact. That creates a new attack surface, and a new layer of infrastructure. We’re building it.
Can agents actually buy from you?
Free live check: robots.txt, /llms.txt, agentic-checkout manifests (UCP/ACP) and product structured data — scored Discoverable / Readable / Transactable.
Run the agent auditFake shelves, hijacked names
Counterfeit listings and impersonator domains riding your brand inside AI answers. We detect when the AI recommends “you” — but routes buyers somewhere that isn’t you.
Know which agents you’re selling to
Verify legitimate shopping agents, flag scripted abuse, and decide which agentic traffic your store should trust and transact with.
Risk scoring for agentic checkout
When a purchase arrives via an AI agent instead of a human session, fraud looks different. Risk signals purpose-built for agent-initiated orders.
Continuous protection, not point checks
Standing monitors on your brand across engines and markets — alerting you when your shelf position, routing, or sentiment is attacked or shifts.
Free shelf test & agent audit
Measure your AI visibility and your agent readiness in minutes. Both free forever — how brands discover the problem.
Monitoring & GEO suite
Monthly tracking, competitive intelligence, fix generation and Share of AI Voice for teams.
Agentic commerce infrastructure
Trust, identity and transaction risk for a world where AI agents do the buying.
AI shopping visibility, market by market
A ₹700 skincare question and a QAR 100 skincare question aren’t the same test. We adapt to how people actually shop in each market.
India
Hinglish queries, ₹ budgets, festive and wedding-season intent. 100 categories live.
UAE
Gulf Arabic queries, oud, abayas, attar and the categories where local brands already beat marketplaces.
Saudi Arabia
Saudi-dialect Arabic queries across oud, abayas and modest fashion, plus Ramadan and Hajj-season gifting spikes.
Qatar
Gulf Arabic queries, QAR budgets, and the beauty/quick-commerce apps (Boutiqaat, Snoonu, Talabat) shoppers actually use.
Kuwait
Gulf Arabic queries, KWD budgets, and category-specific retailers (X-cite for electronics, Boutiqaat for beauty) instead of one generic marketplace list.
Oman
Saudi Arabic-dialect query bank with Omani currency and retailer context — a real starting bank, not a full localization yet.
Bahrain
Saudi Arabic-dialect query bank with Bahraini currency context — a thin market served largely cross-border today.
Running on a dataset nobody else has
Every test runs on our regional query bank — hundreds of standardized shopper questions across 100+ D2C categories, four intent archetypes (discovery, branded routing, problem-first, replacement), harvested across four AI engines and refreshed monthly. What people ask AI before they buy, market by market. It grows with every test.
Why not the US tools?
They’re good at what they do. What they do isn’t your market.
| StockedBy | Profound | Otterly | HubSpot grader | |
|---|---|---|---|---|
| Local marketplace rivals (Flipkart, Noon) | ✓ | ✗ | ✗ | ✗ |
| Local-language queries (Hinglish, Arabic) | ✓ | ✗ | ✗ | ✗ |
| Checkout routing (brand-direct vs marketplace) | ✓ | ✗ | ✗ | ✗ |
| Query fanout & trusted sources | ✓ | ✓ | ✗ | ✗ |
| Fix generation (JSON-LD, llms.txt) | ✓ | ✗ | ✗ | ✗ |
| Free for merchants | ✓ | enterprise $ | from $29/mo | ✓ |