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Find and fix what AI assistants say about your products.

A weekly audit of what ChatGPT, Google, Copilot and Perplexity tell shoppers about your products, with every wrong answer traced to its source and fixed there.

Start with an AI shopping reviewHow it works
Answer audit · 2,000 shopper questionsFive weeks
AssistantRightWrong detailWrong
ChatGPT36012030
Google AI Mode33016050
Copilot29013080
Perplexity200110140

Right means price, stock and claims match Fernway’s approved facts.

The audit your ecommerce lead reads each week: every question sorted by whether the answer matched your facts.

Sound familiar?

  • Ask ChatGPT about your bestseller and it quotes a price you changed a month ago.
  • Your feeds say “accepted”, and nobody has read what the assistants actually say.
  • A shopper repeats a claim you never made, and support has to correct it.

A wrong answer sends a ready buyer to the wrong variant, an old price or a promise you never made. None of it shows up in a report.

Fernway’s launch week, one week of audited questions

  1. Four hundred questions, asked this week.

    Written from your support and search questions, and asked on a schedule so every change shows up.

  2. Three hundred eighty got an answer.

    Some assistants don’t answer at all. Those are logged, never counted as right.

  3. Three hundred named the right product.

    The right jacket in the right variant. A sold-out one, or a lookalike, drops out here.

  4. Two hundred thirty-six had the right facts.

    Price, stock and claims match your approved record. Everything else goes to a ledger with an owner.

  5. The audit became the week’s fix list.

    Each wrong answer is traced to its source and fixed there, then asked again.

Assistant · question
400Asked380Answered300Right product236Right facts
Where it landed
CGChatGPT · washable under $200
Right jacket, right price
GOGoogle · rain jacket for hiking
Says not waterproof
CGChatGPT · gift for a hiker
Right, with delivery date
GOGoogle · machine washable?
Right, cites care label
COCopilot · olive medium
Navy offered while sold out
PXPerplexity · Fernway jacket price
Old $158, fixed at source
PXPerplexity · waterproof?
Wrong claim, corrected
MEMeta · jacket sale
No answer
Answer audit · 2,000 shopper questionsFive weeks
AssistantRightWrong detailWrong
ChatGPT36012030
Google AI Mode33016050
Copilot29013080
Perplexity200110140

Right means price, stock and claims match Fernway’s approved facts.

Read the answer audit

What changes.

Checking
A screenshot of one good answerThe same shopper questions, asked every week
Feeds
Accepted means doneSent, processed and observed in every assistant
Fixes
Argued with each assistantCorrected once, at the source
Reporting
Mentions and share of voiceRight answers out of questions asked

How it works. 6 steps, 4 stages.

  • AI2
  • Rules and automation3
  • Your team1
  • Approval

  1. 1Ask

    1. AI

      Ask every assistant

      A fixed list of shopper questions runs against ChatGPT, Google AI Mode, Copilot and Perplexity, and runs again when a price, variant or claim changes.

      • ChatGPT
      • Microsoft Copilot
      • Perplexity

  2. 2Check

    1. Rules and automation

      Check against your facts

      Each answer is compared with the approved record, by variant, price, stock and claim.

      • Shopify

    2. AI

      Trace the cause

      Groups wrong answers by where the fact came from: a feed, an old page, a reseller listing or the assistant’s own guess.

  3. 3Fix

    1. Your teamApproval

      Approve the fix

      Your catalog owner approves any change to a fact, and says what you don’t claim.

    2. Rules and automation

      Correct at the source

      Price, stock, variant and claim fixes publish to every destination from one record.

      • Shopify
      • Merchant Center

  4. 4Watch

    1. Rules and automation

      Ask again, and log it

      The same questions re-run. Each fix is marked sent, processed and seen.

Each audit writes the next question list

What you get. Real work, every week.

Defect ledgerThis week
  • Perplexity · jacket priceQuoted $158, from an old page$168Fixed
  • Perplexity · “waterproof”A claim Fernway has never madeCorrectedWatching
  • Copilot · olive mediumOffered while sold outNavy MFixed

Every wrong answer, where it came from and what fixed it, with an owner.

Claims · CAT-042Owner: merchandiser

Machine washable on cold. Not waterproof.

Source
Supplier spec, revision 2
Says
Machine washable on cold
Doesn’t claim
Waterproof, or any rain rating
Checked
Every Monday, in four assistants

The claims register: what you say, what you don’t, and where it comes from. Your merchandiser owns it.

How you’ll know it’s working.

  1. Right answers out of questions asked

    Counted on a fixed question set, by assistant, with price, stock and claims matched to your facts.

  2. Time from a wrong answer to a corrected source

    How long a defect lives before the next shopper meets it.

  3. Repeat defects

    Whether a fix at the source stays fixed.

Baselines agreed before we build.

Works with what you have.

Commerce

  • Shopify

Search & AI

  • Merchant Center
  • ChatGPT
  • Microsoft Copilot
  • Perplexity
  • Search Console
We configure first
Shopify’s free Knowledge Base and Merchant Center’s optional attributes already take product facts. We set those up properly, then check what each destination actually shows.
We build when
Wrong answers keep coming from facts the native tools can’t hold, like variant mappings, exclusions or claims you don’t make.

What a first build includes.

Built in your accounts, around your team. Scope, fee and baseline agreed before we start.

  1. 1Design
  2. 2Build
  3. 3Run it, or hand it over
Start with a reviewScope this build

We build

  • A shopper question set, written from your own support and search questions
  • A weekly audit across four assistants, scored against your facts
  • A defect ledger with an owner and a fix for every wrong answer
  • A claims register that says what you do and don’t claim

We start from

  • Product facts, variants, prices and stock
  • Support and site-search questions
  • Shopify, Merchant Center and feed access

From your team

Owner
Head of ecommerce, with the catalog owner
Involves
  • Ecommerce
  • Catalog
  • Merchandising
  • Engineering

Questions teams ask.

Can you make assistants recommend us more often?

No, and nobody can promise it. We make what they say about your products right, then track referrals where the data allows. Shopify describes its Knowledge Base the same way: it improves the answers and makes no promise about how often you appear.

How do you ask the assistants?

The same questions, from a fixed list, on a schedule. We record the date, the assistant and the version of your facts, because answers vary from one ask to the next.

What if the assistant is wrong and our feed is right?

Then we trace where it read the wrong fact. Often it’s an old page, a reseller listing or a variant mapping, and those we can fix.

Who owns it once it’s running?

You do. It’s built in your accounts, documented, with training for the people who run it. Ownership usually sits with your head of ecommerce, with the catalog owner. We can keep running it with you, or step back.

How do we start?

Usually with an AI shopping review: two to four weeks, a fixed fee credited to the build, and a plan that’s yours. If the job is already clear, we can scope the build directly.

Part of your AI shopping engine. One of 13 use cases, in 5 parts.

See the whole AI shopping engine
  1. Found & right3
  2. Help choosing3
  3. Orders that complete3
  4. Buying on account1
  5. Proof & route3

In found & right

Works with

See it at work

Find out what assistants say about you. Start with an AI shopping review.

Start with an AI shopping reviewTalk it through first15 minutes

We reply within one business day.