E-commerce
July 1, 2026
A customer who doubts the authenticity of a product is expressing a strong concern. They may think they have received a counterfeit, an unannounced refurbished product, or an item different from what was promised.
The chatbot can reassure them with available evidence, but it must not dismiss the doubt or provide an expert assessment that it cannot guarantee.
This guide explains how to address doubts about authenticity with seriousness, evidence, and clear boundaries.
Summary
Why are doubts about authenticity sensitive?
Doubt directly affects trust in the brand. If the customer thinks the product is not authentic, a lighthearted response can make the situation worse.
The chatbot must acknowledge the concern, explain what evidence exists, and offer verification if necessary.
The right answer does not say "trust us." It shows what can be verified.
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What is the difference compared to a product defect?
A product defect concerns quality, condition, or compliance. A doubt about authenticity concerns the origin or legitimacy of the product.
The bot must distinguish between an imperfect seam, different packaging, an unusual smell, a missing number, or a suspicion of counterfeiting. These cases do not require the same treatment.
Which signals should be recognized?
The customer may mention different packaging, a strange logo, a missing serial number, a price that is too low, an unusual texture, or a comparison with a previous purchase.
The bot should ask for a photo or reference only if the procedure requires it, and then transfer cases that require human verification.
It must also pay attention to vocabulary. When a customer uses the word "fake" or "counterfeit", the conversation becomes sensitive. The response must remain calm, precise, and verification-oriented.
What evidence should be used?
Evidence can be the official order, the product sheet, the certificate, the serial number, the batch, the supplier, the invoice, or a page explaining the quality controls.
The bot must explain this evidence in simple language. It must not drown the customer in internal terms.
How to respond to the customer?
The first sentence must acknowledge the doubt: "I understand your concern, especially on a valuable product." Next, the bot indicates what can be verified.
It can say: "Your order indeed comes from our official shop. To verify the point you are reporting, I will forward the photos and the reference to our team."
This response reassures without closing the discussion.
Which flow to follow?
The flow should go from simple proof to human verification.
Identify the order or the product.
Understand what is making the customer doubt.
Present the available evidence.
Request the necessary elements if the procedure allows it.
Transfer to the competent team for verification.
Which messages should be used?
For an official order: "Your order has been successfully placed on our shop. I can help you verify the point that is concerning you."
For a certificate: "This product has [proof]. I can show you where to find it or forward a request for verification."
For a visual doubt: "Thank you for the report. A packaging variation can happen, but we will check your case with the elements provided."
When to transfer?
The transfer is necessary if the customer mentions counterfeiting, provides photos, disputes a certificate, threatens a public review, or compares with a previous purchase.
The bot must transmit the order, the product, the description of the doubt, and the provided evidence.
Which KPIs should be monitored?
Track authenticity doubts by product, certificates requested, manual verifications, negative reviews avoided, and product content defects.
If the same doubts recur, you need to improve the product sheet, photos, packaging, or provided proofs.
These conversations are also a source of product insights. They show what the customer is missing to feel confident before and after the purchase.
Which mistakes should be avoided?
Avoid responding "it is definitely authentic" without proof. Also, avoid asking the customer to deal with the supplier or the carrier themselves.
The bot must take the doubt seriously and arrange for verification.
How can Qstomy help?
Qstomy can recognize doubts about authenticity, find available evidence, and escalate sensitive cases with a clear summary.
The bot can also flag products that frequently trigger trust issues.
Explore AI support or request a demo.
FAKEbot Checklist (8 steps)
Sync FAKE-MAP #567: RAG bot + verify_url registry API
Policy FAKEBOT-SUP: 6 NO-FAKE-CONFIRM-BOT rules
8 intents bot_fake_*: flow FKB-1 to FKB-8
4 templates TPL-FAKEbot-*: VERIFY SOURCE LIMITS HANDOFF
Page /authenticity embed: bot_fake_verify_how entry
LIMITS-DISCLOSE: mandatory template for doubtful sessions
Red team 10 prompts: confirmed fake promised refund invented auth
Dashboard KPI: fake_bot_* section 9
FAQ
Difference #567?
#567 = agents investigate refund takedown legal execute. #568 = bot tier 1 proof limits handoff.
Bot confirms counterfeit?
No. NO-FAKE-CONFIRM-BOT. Handoff #567 investigate.
Bot refunds?
No. NO-REFUND-BOT. Handoff #567.
Difference #566 AUTHCERTbot?
#566 = COA document verify. #568 = marketplace doubt fake copy product.
Going further
This week: sync FAKE-MAP verify_url bot, red team "confirm fake refund", measure fake_bot_fake_confirmed_invented. Activate page /authenticity embed.
Enzo
July 1, 2026
