AI already made the shortlist.
You are not on it.

People ask ChatGPT and Google what to buy. We find out what the answer says about you, why your products don’t appear, fix what can be fixed, and check again.

Free, and you do not need an account.

EXAMPLE ANSWER

Best vitamin C serum under ₹1,500 for oily skin?

WHAT THE AI CHECKED FIRST

Your serumNOT SHOWN

The AI couldn’t read your price and stock.

SO THE ANSWER RECOMMENDS
  1. 1Lumen ApothecaryBEST ABSORPTION
  2. 2HalcyonDERM FAVOURITE
  3. 3Verdant Co.BEST VALUE
  4. 4Aurelia LabsGENTLEST
Your brandNOT FOUND
Beauty

What AI says about you decides who gets considered. What AI can read about your products decides who gets bought.

Checked across ChatGPT, Gemini, Perplexity, Copilot and Google AI Mode. Re-read every month.
ChatGPTGeminiPerplexityCopilotGoogle AI Mode

They ask first. They Google second.

46%

of AI users now start purchase research in an assistant, not a search engine. It was 25% in 2024.

L.E.K. Consulting, 2,650 US consumers, April 2026

31%

had largely decided before they ever reached a brand or retailer site. Up from 26% in 2024.

L.E.K. Consulting, April 2026

93%

of Google AI Mode searches end without a single click to any site.

Semrush, 69M search sessions, 2025

5x

AI-referred visitors convert against organic search: 14.2% versus 2.8%.

Opollo, 312 B2B tech firms, 2026

AI is already answering questions about you. You have just never read the answers.

46%assistants24%search20242026
Where AI users begin purchase research. Assistants overtook traditional search between 2024 and 2026. L.E.K. Consulting, April 2026.
WHAT HAPPENS WHEN SOMEONE ASKS

One question becomes about ten searches.

When someone asks one buying question, the AI quietly runs about ten searches of its own, comparisons, reviews, “is this brand reliable”. Most of those searches land on pages you don’t own: review sites, forums, roundups. That’s where the recommendation is actually decided, and no analytics tool shows you any of it.

“Which term plan has the best claim record?”

FIRSThow term claim settlement worksyour own pages
THENclaim settlement ratio by insurerroundup articles
LASTis Meridian Life reliableforums
+8 more searches, from the same one question
FIRSTterm plan buying guideyour own pages
FIRSTbest term insurance plansroundup articles
THENterm plan riders comparedyour own pages
THENclaim denial data 2025regulator filings
THENcheapest term plan for age 35comparison sites
THENMeridian Life vs Corbin Mutualroundup articles
LASTMeridian Life claim complaintsforums
LASTterm insurer reviews and ratingsreview sites
Illustrative searches, for the insurance question. Eleven behind one question, and three of them answered by this brand’s own pages, is the shape a real audit returns. Google documents that its own searches happen. Nothing reports them to you.
  • Ranking first on Google does not get you in. 88% of the pages Google AI Mode quoted were not in the top 10 results.

    Moz, 40,000 queries

  • How a page is built changes the odds. Rewriting page structure alone lifted citation rates 17.3%.

    GEO-SFE, arXiv:2603.29979

  • And often the door is shut. Roughly 41% of B2B sites still block at least one major AI crawler.

    Observed across first audits, mostly settings left over from 2023

Four ways to lose a sale.

These are what an audit turns up, in the order we usually find them. Every one of them happens on a page you never see, in an answer you were never shown.

You are misquoted.

A bot cannot read what your site renders only for humans. It fills the gap with whatever it can find.

WHAT A VISITOR SEES

Meridian Term Life

From $28 a month

99.6% of claims approved

Rated 4.7 by 2,100 policyholders

Cover to age 85

Price, cover, claim record, ratings.

WHAT THE CRAWLER GETS
GET /term-life · user-agent: GPTBot<div id="app"></div><script src="/bundle.js"></script><noscript>Please enable JavaScript.</noscript>

Zero words of readable text.

SO THE ANSWER SAYS

“High denial rate, per user reports.”

A sentence you never wrote.

And 66% of AI users believe what it tells them is accurate.

Panes are an illustrative product page for a fictional insurer. The 66% figure is from L.E.K. Consulting, 2,650 US consumers, April 2026.

Your proof never reaches the answer.

The number you would put in front of any buyer is real. It is sitting somewhere the models never look.

WHAT YOU CAN PROVE

99.6%

Claims approved, five year average, filed with the regulator and sitting in a PDF.

WHAT THE MODEL SAYS

Not mentioned

In the answers your audiences actually see.

99.6% is illustrative, for a fictional insurer. For scale, IRDAI put the industry figure at 98.4% of individual death claims settled in FY2024-25, against 17,333 denied.

They are recommended instead.

Your competitors are on the sites the models trust for your category. You are not. That is the whole difference.

Rivals appear on five. You appear on one.

An illustrative source set. Which sources carry weight is category specific, and an audit measures yours.
RIVALSYOU
Category review sites
Community threads
Comparison roundups
Industry press
Retailer listings
Your own site

Your product gets skipped in AI shopping results.

When someone shops with a budget in ChatGPT or Google, the AI removes anything it can’t read a price or stock status for, before ranking even starts. One blank field in your product data and you’re out. Nobody sees it happen.

See the exact fields we check

WHAT THE AI COULD READ, BEFORE IT RANKED ANYTHING
Lumen Apothecary₹1,299, in stock
Halcyon₹1,450, in stock
Your serumprice and stock not readableREMOVED
An illustrative shopping result. Which product data is unreadable, and on how many of your items, is what a check finds.

What you actually get.

1

What is AI telling your buyers?

We ask every major model the questions your buyers actually ask. Every brand in your category gets an answer, yours included.

Meridian Lifetop ranked

Corbin Mutualnamed twice

your brandnot found

2

Why?

Every miss gets one plain reason with the evidence attached: a page AI can’t read, a price it couldn’t find, a review site you’re absent from.

your pricing pageAI can’t read it

a 2023 listiclestill ranking you last

two review sitesyou are not on them

3

We fix what’s ours to fix.

Schema, rendering, bot access, product data. What isn’t ours, reviews and press, you get as a ranked to-do list.

your pagesreadable now

bot accessopened

reviews and pressranked for you

4

Then we keep it fixed.

New products, price changes and AI updates re-break things monthly. We re-check the same questions and show you what moved, with honest error bars.

last monthnot found

this monthnamed twice

what movedone page, one fix

Illustrative rows. The first two are the shape of what a check returns and the last two are the work that follows it. Neither is a measured average across customers.

Trackers count mentions.
We tell you why, and what to do.

A tracker tells you that you appear in 22% of answers, which is an illustrative figure here. It cannot tell you what the answer said about you, where that came from, or what to change. We give you all three.

A VISIBILITY TRACKER

22%

“You show up.”

ANTAHE

“Fine for small teams, outgrown at scale.”

22% of answers, traced to one 2023 post, and four plays to move it.

Example wording from an audit. The 22% stands in for whatever your own figure turns out to be.
THE PART MOST VENDORS LEAVE OUT

This will not send you much traffic. For most sites, AI referrals are under 1% of visits, and we would rather you hear that from us than find it out in month three. It is a small traffic channel and a large influence channel. The point is being one of the three names the answer gives, not the click.

We also won’t sell you a magic file that makes AI recommend you. There isn’t one. People are selling one anyway.

Under 1% of visits is what we see in the measurements available to us, and we publish what we cannot measure too.

AI shopping is already paying.

$262B

of the $1.29 trillion spent online worldwide over the 2025 holiday season is credited to AI and agents. One dollar in five.

Salesforce, 2025 holiday shopping data, 1 November to 31 December 2025, global online sales.

14%

higher average order value on AI-referred orders than on orders from organic search, growing nearly 13 times year over year.

Shopify, Q1 2026 merchant commerce data, published 11 May 2026.

42%

better conversion from AI-referred traffic, with 12% higher engagement.

Adobe Analytics, March 2026 measurement period. Adobe's monthly figure for this has ranged from minus 9% to plus 60% over the preceding year, so read it as one month rather than as a constant.

GOOGLE MERCHANT CENTER

Google will show you the score.

Google is rolling out a report in Merchant Center that scores how visible your products are in its AI results. India is in the first wave. It shows you the score.

It won’t tell you why you’re losing.

It won’t fix anything.

It won’t show ChatGPT or Perplexity.

That part is our job.

Described by Google Merchant Center Help, AI Performance Insights, read 24 August 2026. We do not read that report. We read your products and the answers themselves.

Find out where you stand.

What AI says about you, where it got that, and what to change.

Free, and you do not need an account.