Independent AI brand intelligence · India

Is your brand
in the answer?

When shoppers ask AI what to buy.

Kurious AI measures how often AI assistants recommend Indian consumer brands, investigates the sources behind those answers, and helps you decide what to do next.

Gather. Verify. Analyse. Evidence before investment.

THE ANSWER TRAILFIG. 01
↗

“Which sunscreen is best
for oily skin under ₹500?”

A SHOPPER QUESTION
✳From answers to evidence•••
01
Who gets recommended?Measure brand appearances
✓
02
What sources appear?Inspect the evidence trail
✓
03
What deserves a test?Turn gaps into a clear next step
✓
MORE CLARITY. LESS GUESSWORK.
A little curiosity.
A clearer decision.
ILLUSTRATIVE WORKFLOW · NOT A LIVE AI RESPONSE
Built for considered decisions.Independent research✳Transparent evidence✳Founder-led advice

A closer look at
the sunscreen shelf.

We asked an AI assistant, with web search on, the questions Indian shoppers ask about sunscreen: 230 answers covering 45 brands, November 2026.

01 / SOURCE ASSOCIATION

Own-site coverage is associated with more mentions

02 / SOURCE CONCENTRATION

One listicle appeared in more than half of answers

03 / CONTENT COVERAGE

A brand’s content and recommendations often appear together

Key takeaway

Your own website and a small set of third-party pages are useful places to investigate. These associations suggest opportunities to test; they do not establish what caused a recommendation.

Source: Kurious AI sunscreen study, November 2026. 230 search-based answers from one AI assistant. Exploratory sample; results vary by assistant and between runs. Association does not establish causation. Audit methodology and uncertainty are documented with each engagement.

Curiosity, with
a method.

  1. Gather. We put the questions your shoppers ask to AI assistants with web search on, many times over, and record every brand named and the source pages exposed by each assistant.
  2. Verify. We repeat each question, report ranges rather than single numbers, and check that the cited pages support what the answer says.
  3. Analyse. We show who gets named, which sources appear alongside recommendations and where you are missing, then recommend one of three things: invest, fix the basics, or wait.

Start small.
Decide with confidence.

A focused first look, a deeper audit, or a consistent view over time.

ServicePriceWhat you get
Free brand check ₹0 One page: how often you and your category leader are named, and the shopper questions where rivals appear and you do not.
Decision Audit ₹30,000fixed, two weeks Your appearance rate with ranges across several assistants, the sources appearing in your category, a check that AI crawlers can read your site, and a recommendation on whether to spend.
Quarterly re-measure ₹20,000a quarter The same questions rerun each quarter, to track movement after your changes, with context on other possible explanations.

Founding offer. The first three brands get the Decision Audit for ₹15,000 with case-study scope and publication permission agreed in advance.

Good advice starts
with independence.

Independent. We sell no software, content or ad placements, and take no referral fees. If the right call is to spend nothing, we say so.

Official access only. We query AI assistants through their official interfaces. Nothing is scraped.

Ranges, not lucky numbers. AI answers vary between runs, so every figure comes from repeated runs with its margin shown.

No data access needed to start. We ask for your analytics only if you want the rupee value worked out.

Experienced in analytics.
Still Kurious.

Rahul Jha

Founder, Bengaluru

Rahul has spent 14 years in analytics and strategy across retail, e-commerce and finance. He worked for eight years at Amazon on seller, brand and Amazon Pay analytics, then on customer retention analytics at Reliance Retail's Netmeds. At Swadesh he built an LLM-based framework for evaluating art (patent pending), and he was most recently a Vice President in analytics at Morgan Stanley.

He studied civil engineering at NIT Jamshedpur and completed the Senior Management Programme at IIM Calcutta. Kurious AI is a new independent practice. Every engagement is run by Rahul personally.

Naturally,
you have questions.

Which AI assistants do you measure?

The major AI assistants shoppers use, with web search switched on, because that is how they answer shopping questions today. The free check uses one assistant. The Decision Audit compares several.

How is this different from SEO?

SEO tracks where your pages rank in a list of links. An AI assistant reads a few pages and names a few brands. We measure whether you are named and which cited sources appear alongside those recommendations.

Do you need access to our data?

No. The free check and most of the audit work from the outside. We ask for read-only access to your analytics only if you want the rupee value worked out.

Why not just buy an AI-visibility tool?

A tool gives you a score every week. We tell you whether that score matters for your business and whether to spend on it. If you already pay a tool or an agency, we can check their numbers independently.

Which categories do you cover?

We started with skincare: sunscreen and winter moisturisers. Any consumer category where shoppers ask AI for recommendations works, including personal care, food, home and baby care.

How long does the Decision Audit take?

Two weeks from the day we agree the list of shopper questions.

Where does your brand
stand with AI?

A clearer picture starts with a little curiosity. Tell us your brand and category to prepare your free check request.

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