Published 06h October 2026
Nayakanti Prashant
3rd Gen Banker & Citizen Lobbyist – Bengaluru
https://in.linkedin.com/in/prashantnayakanti
The Intro
AI Assistants are becoming more than places to ask questions.
They are increasingly becoming places where we discover,
compare, evaluate — and perhaps even decide what to buy.
That creates a new question for all of us.
When an AI Assistant responds, how clearly can a user
distinguish between what the AI Assistant recommends and what someone
has paid to advertise?
The Trigger
A recent report in The Economic Times caught my
attention.
Razorpay has partnered with OpenAI to help Indian brands
advertise on ChatGPT.
The development is significant. But for me, the more
interesting question sits one step beyond the announcement.
As advertising enters the AI Assistant experience, the
distinction between recommendation and advertisement becomes
worth observing from the user's side.
Not as a criticism.
Just as a citizen question.
The Customer / Citizen Moment
So I tried something simple.
I asked ChatGPT for a watch for everyday office wear in India,
with a budget of ₹5,000–₹15,000.
I specifically asked for a neutral shortlist, based on
quality, durability, design, features and value for money — and said not to
assume any brand preference.
The response came back with a multi-brand shortlist,
comparisons, prices and a final recommendation.
Perfectly normal.
But then I paused.
If an AI Assistant can recommend products while advertisements
can also appear within the same overall experience, can I easily tell the
difference?
That, for me, is the observation.
The question is not whether a particular recommendation is an
advertisement.
It is whether the line between the two is clear enough for
the user to see immediately.
So, do you want to try it out in any or your favourite AI Assitant
Prospective Audience
This question is not limited to today's ChatGPT user.
It potentially matters to anyone who will increasingly use an
AI Assistant to discover products, compare services or make purchase decisions.
For AI Assistant Users:
Can I make an informed choice if I cannot immediately distinguish
recommendation from advertising?
For Brands and Advertisers:
Does greater visibility through an AI Assistant also come with equally clear
disclosure to the customer?
For AI Platforms:
Can advertising remain clearly identifiable without disrupting the usefulness
and trust of the conversation?
And perhaps most importantly —
For Citizens:
When technology helps us make a choice, shouldn't we know whether we are being
advised, or being advertised to?
That is where I begin my observation.
Act I — The Recommendation
The first part of the experience feels familiar.
A user asks a question.
The AI Assistant understands the requirement, considers the
stated preferences and produces an answer.
In my case, I asked for an office watch within a defined
budget and explicitly requested a neutral shortlist.
The response did what I expected.
It compared options, discussed quality, durability, design and
value, and identified a preferred choice.
From a user's perspective, this is recommendation.
And that is precisely where the next question begins.
Act II — The Advertisement
Now bring advertising into the same environment.
OpenAI's stated approach is that advertisements are displayed
separately from the response and clearly labelled as ads.
That distinction is important.
An advertisement is not the same as an AI-generated answer.
A recommendation is intended to help me answer my question.
An advertisement is paid placement intended to promote
something.
On paper, the distinction is straightforward.
But the real test of disclosure is not simply whether the
information exists.
It is whether the person receiving it can understand the
distinction easily and at the right moment.
Act III — The Trust Question
This is where the conversation becomes interesting.
AI Assistants are different from conventional advertising
environments.
When I search the web, I have learnt to look for labels such
as Sponsored, Ad or Promoted.
But when I ask an AI Assistant a question, I am entering into
a conversation.
The response feels personalised and contextual — as though the
system is helping me think through a decision.
That makes the boundary between assistance and advertising
particularly important.
If an AI Assistant tells me:
“Here are the options I would consider.”
and somewhere in the same experience I see:
“Here is an advertisement.”
I should not have to wonder which one is which.
The easier that distinction is to understand, the stronger the
foundation of trust.
Citizen Observation
For me, this is not an argument against advertising in AI
Assistants.
Advertising can have a legitimate place in a commercial
ecosystem.
Nor is this an argument against AI Assistants making
recommendations.
That is one of their most useful capabilities.
My observation is simpler.
As AI Assistants become places where people
discover and evaluate products, the distinction between a recommendation and an
advertisement becomes part of the user experience itself.
A label may be technically present.
But the citizen question is:
Is the distinction immediately clear to the person
making the decision?
Because the future of AI-assisted commerce may depend not only
on what is recommended or what is advertised —
but on whether the user can confidently tell the difference.
Citizen Observation — One Observation at a Time.
Closing Thought
Perhaps this is one of those small distinctions that could
become increasingly important as AI Assistants become part of everyday
decision-making.
Today, it may be a watch.
Tomorrow, it could be a hotel, a financial product, a flight,
a healthcare service or something much more consequential.
The more personalised the AI Assistant becomes, the more
important it may be for the user to know:
Is this being recommended because it is relevant
to me — or because someone paid to put it in front of me?
I don't think the answer should be difficult to find.
Advertising and recommendations can coexist.
But trust depends on clarity.
If AI Assistants are going to become trusted companions in how
we discover and evaluate products and services, perhaps the simplest principle
is also the most important:
Make the recommendation useful.
Make the advertisement visible.
Make the difference unmistakable.
Because an informed choice begins with knowing what kind of
information is being placed in front of us.
April 11 - Digital Transactions Day
Every digital transaction begins with a choice.
And every choice deserves clarity.
Digital Transactions Day — April 11
A small reminder that as digital experiences evolve, trust,
transparency and informed choice must evolve with them.
April 11 is UPI Beta Launch Day.
Disclaimer
This Citizen Observation is a personal observation from a
user's perspective, based on a real-world interaction with ChatGPT and publicly
available information.
It is not intended to comment on, endorse or criticise any
specific advertiser, brand, platform or commercial arrangement.
We as humans, should be able to easily distinguish between an advertisement
and a neutral recommendation.
Citizen Observation 58 of 777 — One Observation at
a Time.
The Joy of Digital Transactions
Nayakanti Prashant
3rd Gen Banker & Citizen Lobbyist – Bengaluru
Advocating Digital Transactions Day (April 11)
Author’s Blogs
https://prashantrandomthoughts.blogspot.com
https://prashantnepayments.blogspot.com
https://innovationinbanking.blogspot.com
