Your AI agent answers shoppers at 2am. We check what it tells them.
We test your website's AI agent overnight, the way a real shopper would, and check every answer against your own site. You get the transcripts, ready-to-paste fixes, and what each miss costs per 1,000 chats.
No access to your systems. No personal data. First month free.
How it works
We shop overnight
Outside your support hours, when only the AI answers, we ask what shoppers ask before they buy: promotions, exclusions, shipping, returns, competitors, "any deal tonight?".
We check every answer
Each answer is compared with your published pages the same night: promotion terms, product pages, shipping and returns policies. Every wrong answer is asked again in new sessions, so you see how often it happens.
You get fixes, not opinions
A short report with transcripts and session times you can find in your logs, the exact knowledge-base text to paste, and the cost of each miss per 1,000 chats.
What we typically find
Most agents know standing policies well. They miss on what changes: sale terms, exclusions, prices after a promo, and what happens when a shopper asks for a person at night. Examples below are anonymized from real audits.
A shopper comparing brands is close to buying. On some platforms this is a setting, not a model limit, and it can be changed.
The message box disappears; a shopper with one more question before buying cannot ask the AI again.
What the misses cost
We don't know your chat volume, so we show the cost per 1,000 chats on each topic. Frequency is measured, not assumed. Two inputs are assumptions, the same for every audit: 10% of shoppers asking a pre-sales question would buy, and 20% of them leave after a wrong or missing answer. Send us your volume and we recalculate with your numbers.
| Example finding | Wrong in | Order value | Lost orders / 1,000 chats | Lost revenue / 1,000 chats |
|---|---|---|---|---|
| Sale discount denied to a shopper ready to buy | 5 of 5 | $1,200 | 20 | $24,000 |
| Excluded best-seller promised at half price | 1 of 5 | $36 | 4 | $144 |
| Email form instead of an answer after hours | every hand-off | $120 | 20 | $2,400 |
Illustrative figures. Lost orders = 1,000 × 10% × 20% × measured frequency.
What you get
- Overnight audit of your AI agent as a shopper, with transcripts and session times
- Promotion launch checks: each sale tested within hours of going live
- Ready-to-paste fixes for your agent's knowledge base
- Price and promo consistency: banner, product page, cart and terms say the same thing
- Monthly benchmark: the same questions to your competitors' agents
- Cost per 1,000 chats for every miss, recalculated with your volume
First month free. After that, a monthly plan priced to the scope you choose. No access to your systems, no integration work.
We have tested agents built on:
Independent. Not affiliated with any AI agent vendor.
How we test
Like a real shopper
One question at a time, phrased the way customers ask. No trick questions, no jailbreaks, no attempts to extract prompts.
No personal data
We never enter names, emails, phone numbers or order numbers. If a person answers, we politely close the chat.
Light footprint
At most 10 sessions per audit. Every AI answer costs you money, so we keep the load small.
About
I'm Egor Alekseev. I run these audits myself, with automated browser sessions and a structured question set for each industry. I started after testing AI agents on large US retail and subscription sites and finding the same gap again and again: the model is fine, but nobody owns getting each new promotion into the agent before shoppers ask.
Get a free audit
Send me your site and the promotion you are running next. You'll get the first audit within two nights.
Email: coming soon.
Data and contact
If I emailed you, I found your work address through public sources (company pages, vendor case studies) and Hunter.io. If you'd rather not hear from me, reply "no" and I won't write again; your address is then kept only to make sure of that. I don't publish audits of real companies without their consent.