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“Does a sample response get my product right?”

Check a sample response against your listing.

Paste in the sample response Ads Console shows for a prompt, and see it read against your listing: does it name your brand, which competitors does it name, and what does it say that your listing doesn’t? Checking automatically isn’t offered: it would only be possible if Amazon made sample responses available through its API.

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Paste in
a sample response
Sentence by sentence
matched to your listing
Kept
a history of every answer you check

The problem today

The assistant describes your product in its own words. Sometimes they’re wrong.

Ads Console shows a sample response for each prompt — an example of what the assistant may tell shoppers who tap it. It is generated from your listing, reviews and more, and it can get a size, a feature or a compatibility wrong. A wrong claim loses the sale, or wins it and comes back as a return.

Campaigns › Brewhaus – SP – Auto › Ad group 1 › Ads › Prompts
ActivePromptAdImpr.ClicksSpend
Does it have a steam wand?Sample responseB09611QM6,314154$246.40
What brew sizes does it have?B010984KL6,329152$243.20
Is it better than a pod machine?B012357XP4,827113$235.04
Will it fit under my cabinets?B013730RW5,498127$203.20
Can it make a strong espresso?B015103TZ4,20193$148.80

Only prompts with clicks in the last 65 days are available.

How it works

Step by step, on Brewhaus.

A prompt’s sample response, read claim by claim against the listing. Illustration with a fictional brand: today the check flags what your listing doesn’t say and figures it states differently; catching other contradictions and drafting the fix are planned. Pick any step to jump to it.

Prompt · Sponsored Products · active

Coffee and espresso maker with an adjustable steam wand from Brewhaus

Sample response ▾

Sample response

Actual responses may differ from the sample

Your listing · Brewhaus Duo

  • 1Coffee and espresso in one — eight sizes, from a single shot to a 14 oz mug
  • 2Adjustable steam wand for lattes and cappuccinos
  • 360 oz removable water reservoir
  • 4Programmable start and two-hour auto shut-off
  • —Nothing about noise

0

supported

0

not in listing

0

contradicted

Feedback for AmazonThe response says four sizes from 6 to 12 oz; the listing specifies eight, up to a 14 oz mug.

Add to listingMeasured at 58 dB while brewing — about a normal conversation.

Illustration with a fictional brand · the listing lines are its demo listing · contradictions and drafted feedback are planned

A prompt from your report

Where Amazon shows a sample answer for a prompt, you paste it in to check it.

What you decide with it

Not a report to read. Decisions to make.

Catch

0 of 0

claims with a wrong figure · illustration

Figures your listing states differently

“Four sizes, up to 12 oz” when the listing says eight, up to 14 — flagged with the numbers your listing doesn’t state.

Fill

00 dB

the line that backs it · illustration

Claims your listing can’t back

“Quiet enough for early mornings” with no noise level anywhere — publish the number, or expect the claim to drift.

Name

0 of 0

answers naming a competitor · illustration

Who the answer names

Whether it names your brand, and which competitors it names or suggests instead. Drafted feedback for the “Share feedback” link is planned.

Who uses it

One view, every team that touches the listing.

Brand manager

Sample responses you paste in, checked against your listing.

Content team

The listing lines that stop wrong answers at the source.

Customer service

Fewer “not as described” returns from shoppers told the wrong thing.

Agency

A check of the sample responses you’ve seen for each client.

In every plan

What you get, and why it pays.

What’s included

  • Sentence-by-sentence checks against your listing, numbers included
  • Flags for statements your listing doesn’t back
  • Whether the answer names your brand, and which competitors it names
  • A history of the sample responses you’ve checked
  • Planned: catching claims that say the opposite in other words, and drafted feedback for Amazon

The business case

A sample response that gets your product wrong can cost a sale or bring a return. Checking the samples you see against your listing is a basic brand-safety step.

Questions

Before you trust it, the straight answers.

Where do sample responses come from?
Ads Console shows one for each prompt. Adcquire works from responses you paste in, on the Answer check page; reading them automatically depends on Amazon making them available through the API.
Does Amazon fix an answer when I send feedback?
Amazon provides a “Share feedback” link on every prompt; it doesn’t promise a change. The dependable fix is the listing line the answer rests on.
Is a sample response what every shopper sees?
No — Amazon notes real answers may differ. The sample is still the best view of what the assistant is likely to say.
When can I use it?
Now: paste a sample response on the Answer check page. It flags what the answer says that your listing doesn’t, figures your listing states differently, and who it names. Catching claims that say the opposite in other words, and drafting feedback, are planned; checking automatically depends on Amazon making sample responses available through its API. The example here uses a fictional brand.

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