Guide · Rufus on Amazon.in
How to make an Amazon.in listing Rufus-ready. Measured, not guessed.
Rufus is Amazon's AI shopping assistant, available to every Amazon.in shopper since November 2024. It answers questions like “is this tawa good for induction?” from what your listing says. Most listings say too little. This guide covers the four things Rufus needs from your copy — and the free scan that scores all four on your ASIN.
Published 21 September 2026 · Sources: Amazon's India launch announcement and ListingClimb's own scoring rules.
What Rufus works from
Rufus reads your catalogue entry. It cannot recommend what you didn't write.
Amazon describes Rufus as trained on its product catalogue — titles, bullet points, descriptions and product attributes — together with customer reviews, community Q&A and information from across the web. When a shopper asks Rufus a question about your product, the answer is assembled from those sources.
That sets the job. A listing written for a keyword index (“cast iron tawa dosa tawa non stick tawa”) gives Rufus phrases but no facts. A listing written for a person — what it is for, its numbers, how it compares, what to expect — gives Rufus something to say. The two are not in conflict: the keywords still get you into the running; the facts get you recommended.
The four checks
Four things Rufus needs from your copy — each one measured.
These are the four deductions in ListingClimb's Description score (out of 20), stated exactly as the scan applies them. None is an opinion about your writing: each is a pattern the text either contains or doesn't.
01Use-case phrasing
−3 if missingRufus answers questions shaped like “best X for Y”. It can only match your listing to a question if your copy says what the product is for.
How it's measured. The scan counts distinct use cases across your title, bullets and description — the thing after “for”, “works with” or “compatible with”. Three or more distinct ones earn full marks. “For years”, “for life” and “for free” are not use cases, and one phrase repeated five times counts once.
Example. “for roti and dosa”, “works with induction”, “for daily cooking” — three use cases; “for everyday use” on its own is one.
02Quantified specs
−2 if missingRufus prioritises specifics over adjectives. A listing that says “large” gives it nothing to recommend on; “12 inch” does.
How it's measured. The scan looks for any measurable claim with a unit — inches, cm, kg, ml, litres, hours, watts, mAh, GB, pieces and about twenty more — anywhere in the title, bullets or description.
Example. “12 inch (30 cm), 3.1 kg, pre-seasoned” passes. “Large, heavy-duty, ready to use” does not.
03Comparison language
−1 if missingPositioning context — what your product is instead of. Rufus uses it when it recommends one listing over another.
How it's measured. The scan reads for comparison framing in the shapes sellers write it: “unlike ordinary”, “instead of”, “better than”, “stop using”, “not a cheap plastic…”, “other brands”.
Example. “Unlike non-stick pans that lose their coating, cast iron only gets better with use.”
04Description field
−3 missing · −1 shortSearch and Rufus index the plain-text description as its own field — even when A+ Content hides it on the page. An empty field is an indexed surface left unused.
How it's measured. Missing or under 50 characters costs 3 points (1 if you have A+ Content covering the display); under 200 characters costs 1. Claims in the description that your own listing contradicts are charged separately.
Example. The SOLARA sample below: A+ Content on the page, a plain description that only listed related product names.
A real listing
What a Rufus-ready description looks like: SOLARA cast iron tawa, 12 inch.
A category leader on Amazon.in — ASIN B0CLPB7CTY, 4.1★, 3,432 ratings — scored 16/20 on Description in a real scan. The finding, the text it had, and the opening of the text the scan wrote.
The finding
Your plain-text Description is hidden on the page by A+ Content, but Amazon still indexes it separately and Rufus reads it. Right now it repeats a list of related SOLARA product names with no specs and no use-case detail, so search and Rufus have less to work with than your bullets and spec table actually support. A spec-complete, keyword-grounded version strengthens indexing without touching the A+ section shoppers see.
What the field said
“We focus on real durability, thoughtful details, and designs that actually work in daily life - not just products that look good online. The kitchen is where routines, conversations, and small moments happen. We love…”
No use case, no number, no comparison — a brand story with nothing for Rufus to answer with.
The paste-ready opening
The SOLARA Cast Iron Tawa is built for everyday roti and dosa making — real durability and even heating, not looks alone. At 12 inches (30 cm) across, it arrives pre-seasoned, so there is no seasoning step before your first tava dosa or tava roti. The cast iron surface is naturally non-stick: food releases cleanly and flavours stay authentic, meal after meal, for chapathi, roti and dosa alike…
- Item Type: Cast Iron Tawa · Shape: Round
- Diameter: 12 inch (30 cm) · Item Weight: 3.1 kg
- Material: Cast Iron · Colour: Black
- Compatible: Gas, Electric Coil, Induction, Smooth-Surface Non-Induction
- Product Care: Hand Wash Only · Box contains: 1 Cast Iron Tawa
Use cases named, every number with its unit, the spec table repeated in sentences — 1,584/2,000 characters in the full paste.
Do this today
The Rufus-readiness checklist for an Amazon.in listing.
- 01Name at least three things the product is for, in words a shopper would type: “for roti and dosa”, “works with induction”, “for small kitchens”.
- 02Put every number your product has into the copy, with its unit — size, weight, capacity, run time, wattage, count. If it is in your spec table, say it in a sentence too.
- 03Write one honest comparison: what the product is instead of, and why that matters to the buyer.
- 04Fill the plain-text description — 200 characters at minimum, ideally a spec-complete paragraph — even if A+ Content covers the page.
- 05Answer the objections your reviews raise (weight, care, sizing) inside the listing, so Rufus has the answer when a shopper asks.
- 06Make no claim your listing cannot support. Rufus reads your whole catalogue entry; a description that contradicts the spec table is worse than a short one.
- 07Keep the keywords. Rufus is in addition to Amazon search, not instead of it — the phrases you rank for still decide whether you are in the running.
Paste every change yourself in Seller Central — nothing on Amazon changes until you do. Then re-scan: the report measures the lift and says what came from your edits.
Common questions
Rufus questions Amazon.in sellers ask.
Is Rufus available on Amazon.in?
Yes. Amazon announced Rufus for all customers in India on 20 November 2024, in the Amazon Shopping app and on the desktop site, after an earlier beta. It is the chat assistant that answers questions like “is this tawa good for induction?” or “which water bottle keeps drinks cold longest?” inside Amazon.
What does Rufus read from my listing?
Amazon says Rufus is trained on its product catalogue — titles, bullets, descriptions and product attributes — along with customer reviews, community Q&A and information from across the web. That is why the fixes that help are all about the words in your listing: what it is for, its numbers, how it compares, and whether the description field is filled.
Does Rufus read A+ Content?
A+ modules are mostly images, and Amazon has not said whether their text is read. What Amazon does index as text is the plain-text description field — which A+ Content hides on the page but does not replace. Fill both: A+ for the shopper who scrolls, the plain description for search and Rufus.
Do keywords still matter if Rufus is the future?
Yes. Rufus recommends from the products Amazon already considers relevant, so the keywords you rank for still decide whether you are in the conversation. Rufus readiness is the second layer: once you are in the running, it decides whether your listing gives the assistant something specific to recommend.
How does ListingClimb score Rufus readiness?
The Description area of the report is worth 20 points. The scan reads your title, bullets and description for use-case phrases (−3 if none), quantified specs (−2 if none) and comparison framing (−1 if none), and checks that the plain description exists and has length (−3 missing, −1 short). Every deduction is a fact about your text, shown on the grading sheet with the sentence that would fix it, and the tab writes a paste-ready description that carries all four.
Can I test Rufus on my own listing?
Yes — open your product in the Amazon Shopping app, tap the Rufus icon, and ask the questions a buyer would: “is this good for daily use?”, “what size is it?”, “how is it different from a non-stick pan?”. If the answer is vague or wrong, the listing is not giving it enough to work with. The scan tells you which of the four factors is missing.
Start here
Score your listing's Rufus readiness. Free, about two minutes.
The Description grading sheet shows which of the four factors your listing is missing, and the tab writes the paste-ready description that carries all of them — alongside the title, bullets, keywords and photo audit. Or start with the free listing checker.