# Walk three competitors’ checkouts without buying. Every step, fee and upsell, side by side A checkout teardown compares how competitors take an order, from cart to payment, without buying anything. With Agentik, your AI sends a cloud browser through each checkout with Browser Use, reads shipping and returns policies with Firecrawl, and tests product pages on mobile with DataForSEO. - For: E-commerce managers and conversion specialists - Providers: 3 (Browser Use, Firecrawl and DataForSEO), 3 tools - Example (Three competitor checkouts walked to the payment step, 6 policy pages read, 3 product pages tested on mobile): at most $1.56, computed from the live catalog - Updated: 2026-10-10 ## Each provider does one part No single provider covers this job. Through Agentik your AI calls each one for its part, from one connection and one prepaid balance. - **Browser Use** (1 tool, at most $1.50): A cloud browser that walks each checkout as a guest and stops before payment. - **Firecrawl** (1 tool, at most $0.02): Each store’s shipping and returns policies. - **DataForSEO** (1 tool, at most $0.05): Mobile Lighthouse scores for each store’s product page. ## Give this to your agent ```text Use my connected Agentik MCP server for this job: checkout teardown. Compare three competitors’ checkouts with mine. First ask me for the three competitor stores and a product category to add to the cart. Walk each checkout as a guest with browser-use/run-task, stopping before any personal or payment details, and list every step, shipping option and cost, fee, upsell and payment method. Read their shipping and returns policies with firecrawl/scrape. Test their product pages on mobile with dataforseo/on-page-lighthouse. Finish with a side-by-side table and the five changes most likely to reduce my own drop-off. Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged. ``` ## You provide - Three competitor stores - A product category to add to the cart ## What you get: a side-by-side checkout comparison - Every checkout step, fee and upsell, side by side - Shipping options, costs and return terms - Mobile speed of each product page - Five changes to test on your store ## How to compare competitors’ checkouts in Claude or ChatGPT Prices are the most each call can reserve for this example: Three competitor checkouts walked to the payment step, 6 policy pages read, 3 product pages tested on mobile. ### 1. Walk each checkout Browser Use walks each checkout as a guest with a best seller in the cart, and stops before any personal or payment details. - [Browser Use autonomous browser task](/tools/browser-use/run-task.md) `browser-use/run-task` (Browser Use, 3 stores): at most $1.50 ### 2. Read shipping and returns Firecrawl reads each store’s shipping and returns policies. - [Scrape a web page to markdown](/tools/firecrawl/scrape.md) `firecrawl/scrape` (Firecrawl, 6 pages): at most $0.02 ### 3. Test product pages on mobile Lighthouse tests each store’s product page in mobile emulation. - [On-page Lighthouse](/tools/dataforseo/on-page-lighthouse.md) `dataforseo/on-page-lighthouse` (DataForSEO, 3 pages): at most $0.05 ### 4. Compare and recommend Your AI writes the side-by-side table and the five changes most likely to reduce your own drop-off. Example total: at most $1.56. Each call is billed for measured usage; unused reservations are released. ## Ask it your way - Compare the checkouts of my three competitors without buying anything. - Which fees and upsells do my competitors show before payment? - Do my competitors allow guest checkout? - What could I change in my checkout from what competitors do? ## Why through Agentik - A cloud browser, policy pages and Lighthouse come from Browser Use, Firecrawl and DataForSEO through one connection. - The browser runs are most of the price, capped at fifty cents each and billed for what they use. ## Good to know - The browser agent never enters personal or payment details and stops at the payment step. - Some stores block automated browsers; your agent says when a checkout could not be reached. ## When to use something else For tests on your own checkout with real traffic, use an A/B testing tool. This playbook studies competitors’ checkouts without buying anything. ## Checkout teardown: questions ### Does the agent buy anything? No. It never enters personal or payment details and stops at the payment step. ### What if a store blocks automated browsers? Your agent says which checkout could not be reached and compares the others. ### What does the example cost? At most $1.56, mostly the three browser runs. ## Keep going - [Checkout funnel leaks](/checkout-funnel-leaks.md): Where shoppers drop between product page and purchase in your GA4, by device and browser, with the speed of the pages they leave and what those pages say. - [Online store teardown](/store-teardown.md): A competitor store’s platform and apps, its estimated search traffic, its catalog, best sellers and shipping terms, and the strategy behind its ads. - [Competitor price check](/competitor-price-check.md): Every seller of your products on Google Shopping and Amazon with today’s price, competitors’ shipping and promotions read on their own pages, and the coupon codes in circulation. - [E-commerce tools for your agent](/tools/ecommerce.md) - [Browser tools for your agent](/tools/browser.md) - [Scraping tools for your agent](/tools/scraping.md) [All playbooks](/playbooks.md) · [Connection guides](/docs/clients.md) · [Billing](/docs/billing.md) --- [HTML page](/checkout-teardown) · [Agent index](/llms.txt)