Check
Beseam runs the buying questions your customers actually ask against the assistants they use, and records what each answer says about your products.
Answer visibility, fixed at the product level
When a shopper asks what to buy, your product should be the answer.
Beseam runs those questions against ChatGPT, Copilot, Perplexity, and Google AI Overviews, names the product field that left you out, publishes the fix to your store with one-click revert, then checks again to confirm the answer changed.
- Check
- The assistants your buyers use
- Fix
- Published to your store, revertible
- Check again
- Same question, run again
A real store, scanned with this form
01Check — real scan
Example scan, real result
A dancewear store
Shopify · scanned with this form
Answer visibility score
20/ 100Weak
- Named you
- 2 of 10 answers
- Questions asked
- 5
- Assistants
- ChatGPT, Google AI Mode
- Rivals named instead
- 17
Question by question
“What dance shoes are best for beginners?”
ChatGPTdid not name youGoogle AI Modedid not name youNamed instead BLOCH Dance US, GetDancewear, Discount Dance, Junction Dance Boutique“Leather or suede dance shoes: which is better for dancing?”
ChatGPTdid not name youGoogle AI Modedid not name youNamed instead Bloch Dance US, Capezio, Amazon“Where can I buy quality dance shoes online if I already know my size?”
ChatGPTdid not name youGoogle AI Modedid not name youNamed instead Capezio, Bloch, Discount Dance Supply, BallroomShoes.com“Where can I buy dance shoes in Switzerland?”
ChatGPTnamed youGoogle AI Modenamed you“What dance shoes are a good gift for a social dancer?”
ChatGPTdid not name youGoogle AI Modedid not name youNamed instead Very Fine Dance Shoes, Bloch Dance US, DanceOutfitters, Fuego
Who takes the answers you lose
- Bloch4×
- Capezio3×
- Discount Dance2×
- Fuego1×
- Amazon1×
- DanceBro1×
The unedited output of one real scan: the store's own buying questions, both assistants, and who got named instead. Enter your domain to get yours.
02Diagnose — real audit
Diagnose — the field behind the miss
real audit
Low-Top Dance Sneakers (Rosé Gold)
This store · 130.00 CHF
Answer-readiness score
31/100 · F
27 of 81 checks failed. PDP audit, run on the live product page.
- blocker
offers.availability
The Offer schema and the visible stock message don't resolve to the same status — assistants drop products they can't confirm as buyable.
- high
offers.priceCurrency
Currency isn't explicit in both the visible price and the Offer schema.
- high
offers.shippingDetails
No OfferShippingDetails in the Offer schema — required for shipping annotations in Google Search.
- low
BreadcrumbList
No breadcrumb schema — the category hierarchy is invisible to AI engines.
The unedited output of one real audit of this product's live page — the same engine that runs inside the loop.
03Fix — proposed
Fix — one field, publishable
proposedLow-Top Dance Sneakers (Rosé Gold)
This store · 130.00 CHF
proposed change · offers.availabilityProduct page template
<p class="product-price">CHF 130.00</p>
−(no visible stock status on the page)
+<p class="stock-status">In stock — ready to ship</p>
"availability": "https://schema.org/InStock" ✓ unchanged
awaiting approval · nothing ships without it
Also queued from this audit
- highproposed
offers.priceCurrency
Declare the currency in the Offer schema and show it with the visible price.
- highproposed
offers.shippingDetails
Add OfferShippingDetails JSON-LD (rate and delivery time) so shipping annotations can show.
- lowproposed
BreadcrumbList
Add BreadcrumbList schema so the category path is machine-readable.
Every change from the audit is queued as its own proposed action — approved, published and reverted one field at a time.
04Check again — after publish
Verify — the answer is the proof
after publishLow-Top Dance Sneakers (Rosé Gold)
This store · 130.00 CHF
ChatGPTAfter the fix publishes
What dance shoes are best for beginners?
Good question — it depends mostly on the style you're starting with:
- Ballet — soft canvas or leather slippers with a full or split sole.
- Ballroom & Latin — a low-heeled practice shoe with a suede sole, so you can pivot without sticking.
- Salsa & social dancing — dance sneakers or suede-sole shoes — the most forgiving choice for long social nights.
- Hip-hop & studio classes — lightweight dance sneakers with a pivot spot under the ball of the foot.
If you're not sure which style will stick, a low-top dance sneaker is the safest first pair — comfortable, flexible, and it works across styles. A few options that come up often:
- 1.Low-Top Dance Sneakers (Rosé Gold)This store · 130.00 CHFyours
- 2.Performa Stretch Canvas Split Sole Ballet ShoeBLOCH Dance US · 24.00 USD
- 3.Elasta Bootie Jazz Shoe (S0499L)GetDancewear · 57.50 USD
- 4.Cadence Tap Shoe (CG19)Capezio · 98.50 USD
Whichever you pick, prioritise fit and a sole that matches your dance floor — you can always specialise once you know your style.
After the fix publishes, the same question is asked again on a schedule. The answer changing — not the edit — is the proof.
Questions are asked against
- ChatGPT
- Google AI Mode
- Google Shopping
- Gemini
- Microsoft Copilot
- Perplexity
- Claude
- Alexa Shopping
- Shopify catalog
- Your product pages and feeds
The same product, engine by engine.
Visibility is not one number. The same catalog can win ChatGPT and lose Claude on the same day, for different reasons — and the reason decides the fix. This is a real merchant’s window, exactly as the product shows it.
Share of answers naming the brandyouclosest competitor
ChatGPT
you 81% · rival 19%+62
Gemini
you 77% · rival 17%+60
Google AI Mode
you 70% · rival 21%+49
Claude
you 6% · rival 8%−2
Fewer than half of Claude's answers named any brand at all — an answer-data gap, not a competitor win. The fix is product data, not marketing.
Not measured Microsoft Copilot — no completed checks in this window. Shown as absent, never as 0%.
Check. Diagnose. Fix. Check again.
Reporting tools stop after the first step and hand you a score. Beseam carries the same question through to a published change and a re-check, so you find out whether the fix worked.
Diagnose
Each miss is traced to the product data behind it: an absent spec, a price that disagrees with your feed, a variant out of stock. Ranked by sessions and revenue at risk, not by score.
Fix
Beseam proposes the exact field change. With your approval and store access, it publishes to your store and keeps a snapshot, so one click puts the old value back.
Check again
The same question is run again after the change, and the result is recorded against the product, so you can see whether the answer moved.
Nothing customer-facing is published without your access and your approval. Every published change keeps the previous value, so it can be reverted in one click.
From a missed answer to a published fix.
One buying question, one product, one field. The evidence, the proposed change, the approval, and the re-check stay attached to the same product record.
- Checked
- Record the answer and whether the product was named.
- Diagnosed
- Name the product field that caused the miss, and the revenue behind it.
- Published
- Write the approved change to the store, keeping the old value.
- Checked again
- Re-run the same question and record whether the answer moved.
If AI can’t find the answer, it names someone else.
A product stays active in your store while disappearing from the places customers actually decide. The cause is usually one field: a missing spec, a price that disagrees with itself, a variant marked out of stock. Beseam names the field.
The answer names a competitor
A buying question that used to return your product now returns someone else's, or nothing useful.
Your price disagrees with itself
The feed says one price, the product page says another. Channels and assistants drop the product rather than guess.
The spec buyers ask for is missing
Size, fit, material, compatibility. If the field is not in your product data, the product cannot match the question.
The product left a shopping feed
Still active in your store, gone from a channel your customers use, with no notification anywhere.
Fix the products that cost you the most.
Beseam also runs the sessions on your storefront, so a finding carries the traffic and revenue behind it. The work queue is ordered by what the miss costs you, not by a severity label.
- Sessions, funnels, and replay on the same products
- Answer history: where the product appeared before and now
- Revenue at risk, kept separate from modelled numbers
- Owner, proposed field change, approval, and re-check
What the score doesn’t say.
Most visibility tools round their uncertainty away. Three rules keep our numbers honest:
Unmeasured is never zero
An engine we did not check this window shows as not measured. A 0% always means we asked, and your product was absent from the answer.
Every percentage states its denominator
Share of answers means share of that engine’s completed checks in the window — and the window is printed next to the number.
Losing and being unreadable are different problems
When an engine names no brands at all, we say so. That is a product-data fix, not a marketing fight — and it comes first.
The loop, compared
| Step | Reporting tools | An agency retainer | Beseam |
|---|---|---|---|
| Check | A score, refreshed on a schedule | A quarterly audit | Continuous, per prompt, per engine |
| Diagnose | To a list of cited domains | To a slide deck | To the product field behind the miss |
| Fix | — | A ticket for your team | Published to your store, revertible |
| Check again | — | Next quarter’s report | The same question, run again |
If we cannot set up useful product visibility monitoring in 30 days, you pay nothing.
During an agreed pilot, Beseam must establish the product baseline, monitor the agreed discovery paths, identify a material visibility issue, and show the evidence and proposed fix. If we cannot, the engagement ends and you owe us nothing.
- You receive
- A monitored product scope, baseline, alert evidence, and proposed fix
- We recheck
- The original visibility signal after your team makes the change
- The boundary
- We promise useful monitoring and diagnosis, not a sales increase
- What we need
- The agreed store and data access available during the pilot
Find out what the assistants say about your products.
Enter your store domain. We ask the buying questions for your category and send you the products that were left out, with the field behind each miss.
Want the publishing and monitoring loop set up on your store?Book a 20-minute review
The scan reads public pages only. Beseam does not publish customer-facing changes without the agreed store access and your approval.
Questions about monitoring product visibility.
Clear answers about baselines, change alerts, commercial priority, approvals, and recovery checks.
What does Beseam monitor?
Beseam monitors agreed products across the store catalog, product pages, shopping feeds, search results, and product recommendations. It keeps those sources attached to the same product record so each run can be compared with the previous state.
How does Beseam know that product visibility changed?
The first monitoring run establishes a baseline for the agreed products and discovery paths. Later runs compare product presence, title, price, availability, description, structured data, language coverage, and other source evidence with that baseline and the most recent known state.
What counts as a product visibility change?
Examples include a product leaving a shopping feed, disappearing from a tracked search or buying answer, being replaced by a competitor, or showing product facts that no longer agree with the store catalog. Beseam keeps the source and time of the change with the product.
How does Beseam decide which alert matters first?
Beseam considers the commercial priority available for the product, the number and importance of affected discovery paths, the freshness and quality of the evidence, and the scope agreed with the store. High-selling or high-priority products can be placed ahead of minor catalog warnings.
How often does Beseam check the catalog?
The monitoring cadence depends on the source and the agreed scope. Each result records when the source was checked and whether the evidence is fresh, stale, incomplete, or unavailable, so an old result does not appear current.
Does Beseam replace Shopify or our feed tools?
No. Your commerce platform remains the source for catalog and order data, and each channel keeps its own records. Beseam compares those sources over time and points your team to the product-level change that needs attention.
What happens after Beseam raises an alert?
The alert includes the affected product, the previous and current state, the source evidence, the likely cause, and a proposed next step. The owner and approval stay attached to the product, and Beseam reruns the original check after the change.
Can Beseam publish product changes without approval?
No material customer-facing change is published without the access and approval rules agreed for the store. Your team can approve, reject, or edit a proposed change before anything is published.
What is the first-month promise?
During an agreed pilot, if Beseam cannot establish the product baseline, monitor the agreed discovery paths, identify a material visibility issue, and show the evidence and proposed fix within 30 days, you owe us nothing and the engagement ends. The agreed store and data access must remain available during the pilot.