Will this increase my sales?

It fixes the two things that decide sales on Amazon — whether buyers find you, and whether they choose you — and it measures the result. What it can't do is promise a number: sales also move with price, stock, ads and reviews, and no honest tool can see those from outside your account. What you get is specific: where you rank for the phrases buyers type and which ones you're missing, the search-page failures that cost the click (a main image that breaks policy, a title half the length of your rivals'), the bullets and photos that lose the visit, and paste-ready fixes for each. Re-scan after pasting and the score lift is measured, with the report saying what came from your edits and what from the market.

Do I need to give you my Seller Central login?

No. ListingClimb only needs your public Amazon.in listing — the URL or ASIN any shopper can see. It never connects to your seller account and has no way to change anything on it. You paste every rewrite yourself, so you review each change before it goes live.

How long does a scan take?

About two minutes. The scan reads your listing live, then checks page-1 results on Amazon.in for your keywords, reads your photos and your reviews, scores everything and writes the rewrites. A progress bar shows each step.

Why not just use ChatGPT?

ChatGPT works from whatever you paste in. It doesn't check what ranks on page 1 for your keywords, doesn't read your photos, doesn't mine your reviews, and nothing stops it inventing a feature your product doesn't have. ListingClimb reads Amazon.in live, scores your listing against its rivals, and checks every rewrite against your listing's own facts and photos before you see it.

Will Amazon penalise me for AI-rewritten content?

Amazon penalises keyword stuffing, false claims and prohibited language. ListingClimb's rewrites are graded for natural language and checked against your listing's facts — a claim your listing can't support is struck, not invented. And you're still the one pasting the text into Seller Central, so nothing goes live without your review.

What if Amazon blocks a fetch or something can't be read?

The report says which checks couldn't run and leaves those points unmeasured — it never fills a gap with a guess. A scan that fails doesn't use a credit. If an ASIN lookup keeps failing, you can paste your title and bullets directly after signing in.

Your first scan is free. After that: ₹149 for 1 scan, ₹399 for 3 scans, ₹499 for 5 scans, ₹1,499 for 20 scans. No subscription, credits never expire, and every pack has a 7-day, no-questions-asked refund (pro-rata if you've used some scans).

Do you store my listing data? Train AI on it?

Scans are stored so you can reopen them and compare a re-scan against the last one. Your inputs are not used to train public AI models, and your scan history is private to your account. Email us to have a scan deleted.

What about Flipkart, Meesho and other marketplaces?

Amazon.in only for now. The scoring is built around how Amazon's search, page-1 results and its AI shopping assistant read a listing; other marketplaces would need their own.

Built for Amazon.in sellersFirst scan freePay per scan — no subscription

Find where your listing is losing sales.
Fix it in one paste.

A listing loses sales in two places: buyers who never find it, and buyers who find it and don't buy. ListingClimb reads your live Amazon.in listing and its page-1 rivals — keyword ranks, photos, reviews, the price band, what Rufus can answer about you — scores both leaks out of 100, and writes the fixes you paste straight into Seller Central. About two minutes. First scan free.

Listing score

Real scan · live data

SOLARA cast iron tawa, 12 inch

ASIN B0CLPB7CTY · ₹1,069 · 4.1★ · 3,432 ratings · 4K+ bought/month · 9 photos

64/ 100

Title
8/20
Bullets
12/20
Keywords
19/25
Description
16/20
Images
9/15

Where the sales are leaking

Organic #1 for "cast iron tawa", but #8 for "tawa" — behind 5 ads and 7 rivals on the term with 14,876 competitors
Main image is a styled food scene: background measures 55/255 where Amazon requires 255 — the rule Amazon suppresses listings over
Title uses 70 of ~170 characters page-1 rivals use; all five bullets are keyword-stuffed
Out-sells its price band (4,000+ vs 700+/month) — the market position is earned; the listing is what's leaking

23 of the missing 36 points are recoverable with this report: Title +11 · Keywords +6 · Bullets +4 · Description +2

How a listing makes sales — and where yours leaks

Amazon sales come down to two numbers: how many buyers find you, and how many of those choose you. Four levers move them. Here is what the scan checks on each, and what you get back.

01
Found
Rank for what buyers actually type.
We check: Your live organic rank for each keyword (ads counted separately), the category phrases your listing is missing, and your backend search terms.
You get: Title, bullets and the backend string rewritten with the missing phrases as exact terms.
02
Clicked
Win the click on the results page.
We check: The four things a buyer sees in search: main image against Amazon's policy, measured from the pixels; title length against page-1 rivals; price and rating count against the band shoppers compare in.
You get: The policy fix named, and a full-length title ready to paste.
03
Chosen
Turn the visit into the order.
We check: Every bullet for filler versus benefit, the shot types your gallery lacks, whether your description feeds search and Rufus, and every claim against your own listing.
You get: Five bullets, a spec-complete description, and the shots to add.
04
Kept
Fewer returns, better reviews, higher rank.
We check: The objections in your real reviews, split into ones copy can answer and ones it can't, and the praise buyers volunteer unprompted.
You get: A line for the bullets that answers the objection, the praise themes to lead with — and product-level issues named, not written around.

We don't promise a sales number. Price, stock, ads and reviews move sales too, and no tool outside your seller account can see them.

We do promise a measured lift. The report tells you how many of your missing points are recoverable, section by section. Paste the fixes, re-scan, and the lift is measured — with the report saying what came from your edits and what from the market.

What a report looks like

The tool's own report for a category leader — the SOLARA cast iron tawa, 12 inch (ASIN B0CLPB7CTY, Amazon's Choice, 3,432 ratings). Excerpted, with the wording edited for clarity; every number, rank, verdict, photo and buyer quote is exactly what the scan produced.

SOLARA Cast Iron Tawa for Roti and Dosa 12 Inch, Pre-Seasoned Cookware

64/100AveragePriority fix: Title (8/20)

4 keywords checked live on Amazon.in
9 photos read · main image measured
8 reviews read → 3 buyer objections
40 page-1 rivals priced and rated

8/20

Title

12/20

Bullets

19/25

Keywords

16/20

Description

9/15

Images

8/20

Title

12/20

Bullets

19/25

Keywords

16/20

Description

9/15

Images

Interactive — tap any tab to see that part of the report

9 of your 9 images audited

verdicts describe only what's visible — nothing invented

SOLARA listing — main image as shown in search results

#1 · main

✗ Background measures 55/255 — Amazon needs 255

Main image — the search thumbnailWorth fixing

Nobackground not pure white — measured: the border averages 55 of 255; Amazon needs 255
Yesno added overlays
Partlyproduct may fill ~60% of the frame (a model estimate, not measured this scan — not counted against you); Amazon asks for 85%+

A sharp, professionally lit shot — framed as a styled food-prep scene (dark surface, garnishes, herbs, spice bowls) rather than a plain-background product image. That composition conflicts with Amazon's main-image policy; verify, then fix.

Printed on the product itself, which is fine: "SOLARA".

Background measured from the pixels; the fill figure is the model's estimate and is not scored.

Native size 2000 × 2000 px (measured) — zoom-ready.

All 9 photos, in listing order — with the scan's verdict on each

1
Main
worth improving
2
Infographic
doing its job
3
Other
doing its job
4
Lifestyle
doing its job
5
Infographic
doing its job
6
Infographic
doing its job
7
Scale
doing its job
8
Trust
doing its job
9
Lifestyle
doing its job

Verdicts, photo by photo · 5 of 9 excerpted

#1Mainworth improving

The product is clear and well lit, but it sits inside a lifestyle scene — dark backdrop, garnishes, herbs, bowls — where Amazon requires a white background and the product alone. Measured: the backdrop averages 55 of 255.

#2Infographicdoing its job

Clear feature callouts — easy-grab handles, quick to heat, non-stick and chemical-free, heavy base for uniform heat — with legible care icons underneath.

#3Otherdoing its job

A stove-compatibility matrix (halogen, induction, gas, electric) that answers a key Amazon.in buyer question, plus an egg-cooking demo as visual proof.

#7Scaledoing its job

Dimension overlay — 36 cm length, 30 cm width, 1 cm height, 3.1 kg — clearly marked and consistent with the title's 12 inch / 30 cm.

#8Trustdoing its job

A four-step care guide (scrub with warm soapy water, dry thoroughly, oil and heat 2–3 times, store dry) that reinforces the pre-seasoning message.

Quick win on the images you have

Shoot a new image 1: plain white background, tawa centred and filling most of the frame, no garnishes, text or props — this is the policy fix, and it's the one that affects search placement. Move the current food scene to slot 4 or 5, where it does its real job as the lifestyle shot.

Shots your gallery doesn't have yet

Feature close-up
A macro of the surface and the pre-seasoned finish — the detail a buyer would inspect in person. Close-ups substitute for touch and signal there's nothing to hide on build quality.
What's in the box / packaging
Everything the buyer receives, laid out and labelled, packaging included. It ends "X was not included" complaints before they become reviews.

All 9 photos shown; 5 of the 9 verdicts excerpted — the full report grades every photo.

This is an excerpt. The full report carries every bullet, keyword, review theme, photo verdict and rival — for your listing, one free scan away.

How it works

Three steps, and you stay in control of every change.

Paste your ASIN or Amazon.in link
Sign in with Google — no password to remember. ListingClimb only needs what any shopper can see: never your Seller Central login, and it can't change anything on your account.
We read Amazon live — about two minutes
Your listing page, page-1 results for your keywords, your photos and your reviews. The scoring runs, then the rewrites are written and checked against your listing's own facts before you see them.
Paste the fixes. Re-scan to verify.
Copy the title, bullets, description and backend terms into Seller Central. Your next scan says whether the score moved because of your edits or because the market shifted under you.

Honest by design. If a check can't run — Amazon blocks a fetch, a photo won't load — the report says which points went unmeasured. Nothing is filled in with a guess, and a failed scan doesn't cost a credit.

Why not ChatGPT, or a ₹12,000-a-month suite?

Three ways to work on a listing yourself. Here is what each actually costs an Amazon.in seller, and what you get for it.

₹149one complete scan

First scan free₹75 each in the 20-pack.

Pay in rupees by UPI or card, only when a listing needs work. No subscription, and credits never expire.

₹1,999a month — ChatGPT Plus

Google AI Pro ₹1,950. The free tiers cap your messages and drop to smaller models.

And no tier, paid or free, can see Amazon's live search results, your photos or your reviews. It only knows what you paste in.

₹12,300a month — Helium 10 Platinum

$129, or $99 billed yearly ≈ ₹1,14,000 a year. Jungle Scout $29–129 a month.

Priced in dollars, built around Amazon.com. Jungle Scout lists India as "partially compatible"; Helium 10 support varies tool by tool.

One month of Helium 10 = about 80 ListingClimb scans. Its ₹12,300 monthly fee pays for 80 scans at ₹149, or 160 with the 20-pack — enough to scan, fix and re-scan every listing most Amazon.in sellers have, several times over.

Or hire an agency: ₹5,000–15,000 per listing, days to weeks of waiting, and a report you can't verify. The same ₹5,000 buys 33 ListingClimb scans — each about two minutes, with every rank, price and rating checkable on Amazon.in yourself.

What matters	ListingClimb one scan, pay per scan	ChatGPT / Gemini a chatbot and your own research	Subscription suites Helium 10, Jungle Scout and the like
Built for whom	YesBuilt in India for Amazon.in sellers, and nothing else: rupee price bands, Amazon.in page-1 results, Rufus as Indian shoppers see it, rupee pricing by UPI.	NoEveryone in general, no seller in particular. It knows nothing about your category on Amazon.in today.	PartlyUS sellers first: dollar pricing, tools built around Amazon.com. India is one marketplace among 24, with support that varies tool by tool.
Live Amazon.in data	YesReads your listing and 40 page-1 rivals at scan time: live organic rank with ads counted separately, prices, ratings and sales badges.	NoNone. It cannot run an Amazon search for your ASIN, so it cannot tell you where you rank or who beats you.	PartlyKeyword databases and rank trackers you set up yourself, keyword by keyword; the deeper data sits on the higher plans.
Your photos and reviews	YesEvery photo graded and the main image measured against Amazon's policy from the pixels; reviews mined for objections and the praise to lead with.	NoOnly what you upload or paste, and no measurement against Amazon's rules.	PartlyKeyword and copy tools; photos and reviews stay your job.
Rewrites you can paste	YesTitle, five bullets, description and backend terms — each checked against your own listing. A claim it can't support is struck, not invented.	NoFluent, and happy to invent a feature your product doesn't have. Every line needs checking.	PartlyAn AI writer on the paid plans; you verify every claim yourself.
Proof it worked	YesRe-scan after pasting and the lift is measured, with the report saying what came from your edits and what from the market.	NoNo score, no memory of your listing, nothing to measure against.	PartlyRank trackers show movement over time; reading it is up to you.
Time to a full report	YesAbout two minutes, with a PDF.	PartlyHours of prompting and research per listing.	PartlyDays to learn the suite, then ongoing work.

Built for whom

Yes
ListingClimb
Built in India for Amazon.in sellers, and nothing else: rupee price bands, Amazon.in page-1 results, Rufus as Indian shoppers see it, rupee pricing by UPI.
No
ChatGPT / Gemini
Everyone in general, no seller in particular. It knows nothing about your category on Amazon.in today.
Partly
Subscription suites
US sellers first: dollar pricing, tools built around Amazon.com. India is one marketplace among 24, with support that varies tool by tool.

Live Amazon.in data

Yes
ListingClimb
Reads your listing and 40 page-1 rivals at scan time: live organic rank with ads counted separately, prices, ratings and sales badges.
No
ChatGPT / Gemini
None. It cannot run an Amazon search for your ASIN, so it cannot tell you where you rank or who beats you.
Partly
Subscription suites
Keyword databases and rank trackers you set up yourself, keyword by keyword; the deeper data sits on the higher plans.

Your photos and reviews

Yes
ListingClimb
Every photo graded and the main image measured against Amazon's policy from the pixels; reviews mined for objections and the praise to lead with.
No
ChatGPT / Gemini
Only what you upload or paste, and no measurement against Amazon's rules.
Partly
Subscription suites
Keyword and copy tools; photos and reviews stay your job.

Rewrites you can paste

Yes
ListingClimb
Title, five bullets, description and backend terms — each checked against your own listing. A claim it can't support is struck, not invented.
No
ChatGPT / Gemini
Fluent, and happy to invent a feature your product doesn't have. Every line needs checking.
Partly
Subscription suites
An AI writer on the paid plans; you verify every claim yourself.

Proof it worked

Yes
ListingClimb
Re-scan after pasting and the lift is measured, with the report saying what came from your edits and what from the market.
No
ChatGPT / Gemini
No score, no memory of your listing, nothing to measure against.
Partly
Subscription suites
Rank trackers show movement over time; reading it is up to you.

Time to a full report

Yes
ListingClimb
About two minutes, with a PDF.
Partly
ChatGPT / Gemini
Hours of prompting and research per listing.
Partly
Subscription suites
Days to learn the suite, then ongoing work.

One listing, all seven checks, in about two minutes. No card, no subscription.

Prices checked 12 September 2026 on each provider's own pricing page, at $1 ≈ ₹95.7. Suite features vary by plan.

Pay per scan

One scan = one complete report for one listing — all seven checks, every rewrite, the PDF. Your first is free. After that, buy a few scans at a time, from ₹149 down to ₹75 each, and use them whenever you like. No subscription; credits never expire.

How many scans does one listing need?

Two or three. That is why the packs are sized the way they are.

Scan
The report: score, leaks, paste-ready fixes.
Paste the fixes
Into Seller Central — no scan needed for this.
Re-scan to measure
Same listing, a week later: what moved, and why.

Your first scan

Free

1 scan · the full report

No card. Sign in with Google, paste your ASIN, and it runs.

1 scan

₹149

₹149 per scan

Single

For a re-check after your fixes go live

3 scans

₹399−11%

₹133 per scan

One Listing

Done right: scan, fix, then verify the lift

A note from the founder

I built ListingClimb because a good listing shouldn't cost an Indian seller ₹12,000 a month — or a consultant's retainer.

The serious listing tools are built in the US, priced in dollars and sold to sellers doing lakhs a month — Helium 10's cheapest plan is ₹12,300 every month, for a suite built around Amazon.com where India is one marketplace among 24. ChatGPT and Gemini can't open Amazon.in — they only know what you paste in, and guess the rest. And an agency is ₹5,000–15,000 per listing, days to weeks of waiting, and a report you can't verify.

Most Amazon.in sellers have a handful of listings, not five hundred — and every one of them is a shop you built yourself, often against bigger brands with agencies on retainer. You don't need forty tools. You need one honest read of one listing: where it is leaking sales, exactly what to paste, and whether it worked. So that is what ListingClimb is — built in India for Amazon.in sellers and nothing else. It reads Amazon.in live, checks its own rewrites against your listing's facts, and charges per scan, in rupees, because that is how a small business actually spends: ₹149 when a listing needs work, the first one free.

It's new, and this page has no testimonials because I'd rather earn real ones than write fake ones. Run the free scan. If the report doesn't tell you something specific and true about your listing, write to me — I read every message at support@listingclimb.com.

Manav

Founder, ListingClimb

Early access

YesFirst scan free, full report — no card needed.
YesEvery pack has a 7-day, no-questions-asked refund.
YesSupport answered by the person who built it, within a business day.

Common questions

Find the leak. Paste the fix.
In about two minutes, free.

Paste your ASIN at the top of the page, sign in, and the report is on its way. No card, no subscription, no Seller Central access.

Find where your listing is losing sales.Fix it in one paste.

How a listing makes sales — and where yours leaks

Found

Clicked

Chosen

Kept