Every night at 11pm, thousands of Amazon sellers screenshot BSR charts, paste Keepa graphs into ChatGPT, and ask "is this product worth selling?" The AI squints at a blurry image and guesses. Ooty sends the actual data: BSR history, price trends, review velocity, and competitive density. Real numbers, real analysis.
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Ryan Cole
Amazon FBA Seller, Side hustle (evenings and weekends)
“I cancelled Jungle Scout because it was £50/month and I only use it to check BSR and review counts. Now I screenshot Keepa charts and ask ChatGPT to read them. It gets the numbers wrong half the time.”
This is what it looks like in ChatGPT
Replace the {placeholders} with your details, then paste into ChatGPT, Gemini, or Claude.
Analyse this Amazon product and tell me if it is worth selling: ASIN
Pulls BSR history, pricing data, review count, and competitive metrics for a specific ASIN.
Find product opportunities in the your category category with a BSR under 10,000 and fewer than 200 reviews.
Searches for products with proven demand but low review barriers to entry.
Compare these ASINs side by side: ASIN-1, ASIN-2, ASIN-3.
Multi-product comparison with key metrics in a structured table.
Connect Ooty Commerce in two minutes. Start asking questions immediately.
Learn more about OotyYour AI never sees your credentials
You connect platforms once on ooty.io via secure OAuth. After that, your AI assistant uses only a license key. No passwords, no tokens, no secrets leave Ooty's server.
Your AI asks. You decide.
Every action flows through a simple confirmation in your chat. Pause a campaign? Adjust a bid? Your AI asks first. You say yes or no.
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Works with any AI assistant that supports tool connections.
Product research on Amazon comes down to four variables: demand, competition, margin, and trend direction. Best Sellers Rank (BSR) is the primary demand signal. A product with BSR 5,000 in Kitchen sells roughly 15 to 25 units per day. BSR 50,000 might sell 1 to 3 units daily. But BSR alone is misleading because it fluctuates hourly based on recent sales velocity. A product that ran a Lightning Deal yesterday might show BSR 2,000 today and settle back to 15,000 by next week.
Price history reveals the competitive dynamics that BSR snapshots miss. If every competitor in a niche has dropped prices by 15% over the past 6 months, margins are being squeezed and the category is becoming a race to the bottom. If prices are stable or rising while BSR stays strong, the niche has healthy demand and pricing power. Review velocity is another signal: a product gaining 50 reviews per month is actively selling and building social proof, while a product with 3,000 reviews but only 5 new ones per month peaked a year ago.
The competitive density calculation most sellers overlook is the review barrier. If the top 10 listings in a niche average 5,000 reviews each, breaking in as a new product with zero reviews requires either aggressive PPC spend or a genuinely differentiated product. If the top 10 average 200 reviews, the barrier is lower. Combining BSR stability, pricing trends, review velocity, and competitive density in a single analysis gives you a data-backed decision on whether a product opportunity is worth pursuing before you invest in inventory.
With Ooty, your Commerce data flows straight into ChatGPT, Gemini, or Claude. Structured and filtered. Ask a question, get an answer backed by real numbers.
Two minutes to set up. Works immediately.
31 tools. Replaces Jungle Scout ($49/mo). From $29/mo.
14-day money-back guarantee, no questions asked. Cancel anytime.