Who AI names when an Indian buyer asks for a water purifier
Six brands, forty-four questions, five days of answers — and the gap between who is named and who is cited.
In preparationAI brand intelligence · India
Your buyers ask ChatGPT and Gemini before they ask anyone else. Manan tracks those answers every day, traces each claim back to the page it came from, and hands your existing team the specific edit that changes it.
Starts with a free category audit — real prompts, real answers, your category.
Northbay is a reasonable option, but reviews are mixed on after-sales service. Several buyer guides note that service response times vary sharply outside the metros, and at least one 2024 complaint thread is still widely referenced.
If service matters most to you, competitors publish their technician counts and city coverage while Northbay does not. Check the warranty terms on the specific model before buying.
Why this matters now
It was assembled, in a second, from pages across the open web — most of which you do not own and have never read. It reaches the buyer before your site does, before your dealer does, and before your campaign does.
The buyer did not search for you. They described a problem, and an answer named some brands and not others.
No impression, no click, no session. The conversation that shaped the decision never appears in analytics.
Every sentence in that answer came from a page. Pages can be corrected, expanded or written. That is the whole job.
How it works
Four steps your existing SEO, content, PR and web teams already know how to run. Manan tells them where to point.
Your real buying questions, asked to the engines every day. Visibility, sentiment and citations per brand.
Every claim traced to the page that carries it, and every page to the owner who can change it.
The handful of pages that move the most answers, ranked. Not a backlog — a short list.
A drafted change for each page, in place, with the owning team named. Nothing publishes without your approval.
Then measure again — published, cited, and whether the answer moved.
What you get
Built for India
The pages an answer engine trusts in India are not the ones it trusts in the US. Category aggregators, regional review sites, service directories and forum threads carry the weight here — and they are the pages most brand teams have never audited.
Manan runs prompts the way Indian buyers actually write them, including in Hindi and mixed script, and reads the sources that answer them.
Insights
Category reads from our own tracking, published openly.
The inversion shows up in category after category. What causes it, and which pages are responsible.
Read →Six brands, forty-four questions, five days of answers — and the gap between who is named and who is cited.
In preparationStructure, specificity and dating — what separates a page that gets lifted from one that gets skipped.
In preparationWant a read on your own category before it is published? Ask for it with your demo request and we will send it over.
Questions
Request a demo
Tell us the category and we will run a short audit on real prompts before the call — so the first thing you see is your own data.
We use this only to prepare and run the audit. No list, no sharing. Privacy policy.