What an assistant needs before it names a product
It has to be able to read you
AI crawlers need access, and product pages need plain text for name, what it is for, key specs, price and availability. Pages that only show this after scripts run, or hide it in images, give the assistant less to work with. The free AI crawler checker shows which AI crawlers your robots.txt lets in.
It has to understand what you are for
"Lightweight gel moisturiser for oily, acne-prone skin, under ₹500" is a match for a buyer question. "Your skin's new best friend" is not. Say who the product suits, in the words buyers use.
It needs proof from others
Assistants lean on reviews, comparisons, marketplace ratings, creator content and press. A product described only by its own brand is a weak candidate.
It needs the facts to agree
The same product name, claims and price on your site, Amazon, Nykaa, Flipkart and in press coverage. Conflicts reduce confidence. See entity consistency.
What does not work
- Stuffing pages with phrases aimed at AI.
- Fake or incentivised reviews without disclosure.
- Hidden text addressed to AI systems. Besides being risky, it breaks platform rules.
For Indian D2C brands specifically
- Treat marketplace listings as primary pages: they are often what gets cited.
- State ingredients, specs and rupee price bands plainly; Indian buyers ask in those terms.
- Answer real buyer questions in FAQs, including how people actually phrase them, Hinglish included where natural.
More on the Indian market in AI search visibility for Indian D2C brands.
How to know it worked
Pick the buyer questions that matter, measure how often you are named before you change anything, then measure again over several checks after. One good day proves nothing. See how ClerAEO measures AI visibility, and if your brand is missing entirely, start with why ChatGPT doesn't mention your brand.