SEO Tools for eCommerce.

Instantly audit any page's canonical tag configuration. Detect duplicate content, redirect chains, og:url conflicts, and indexability issues before they cost you rankings.

• HTTP header canonical
• Robots / noindex conflicts
• og:url consistency
• Hreflang detection

We map every integration: ERP, CRM, fulfillment, inventory, customer architecture, and data structures before any design work begins.

Pull real keyword ideas from Google Keyword Planner and automatically score each one for commercial intent using CPC, competition, and modifier analysis.

• Google Keyword Planner data
• Commercial intent scoring
• CPC and competition signals
• Transactional modifier detection

Category page targeting, PLP keyword strategy, and finding gaps competitors are ranking for.

See your ROAS instantly, measure it against the 800% benchmark, and estimate the real profit your ad campaigns are making with an optional margin-based ROI calculation.

• Live ROAS scoring
• 800% benchmark comparison
• Profit / ROI estimate
• No sign-up required

Merchants running Google or Meta ads who want a quick sanity check on campaign profitability.

Test whether AI agents can discover, understand, and transact with your store. Covers 36 AI bot crawlers, product schema, Shop Pay, and machine-readable policies.

• 36 AI bot crawler check
• Product schema audit (5 PDPs)
• Shop Pay + /cart accessibility
• Return & shipping policy detection

Stores preparing for AI-driven discovery via ChatGPT, Perplexity, and Gemini storefronts.

Your apps bill every month. A build bills once. Four numbers return the month a custom build overtakes your app stack, and what you keep by year three.

• The exact month a build stops being the expensive option
• App fees that keep billing right through the build
• Cumulative cost chart and a month-by-month table
• Net saved or still behind at 12, 24 or 36 months

Stores that are choosing between custom developed apps and subscription based apps for their needs.

A composite 0-100 score across repeat purchase rate, automated flow revenue mix, and lifecycle flow coverage, measured against your own category rather than one flat benchmark.

• Category-specific repeat-rate target
• Automated vs. manual revenue split against a sourced 40% benchmark
• Seven lifecycle flows, weighted by the revenue each carries
• Both gaps priced in dollars per year

It shows store owners how much of their revenue comes from repeat customers compared with stores like theirs, and which retention fix (such as a missing email flow) would earn them the most.

Five inputs turn your traffic and load time into the monthly revenue a faster storefront is worth, modelled at a deliberately conservative 7% conversion lift per second saved.

• Monthly and annual revenue left on the table
• Current vs. projected conversion rate
• Lift model capped at 6 seconds, so it under-promises
• Sourced methodology, no email required

It estimates how much extra revenue a store owner would make by making their site load faster. It uses their traffic, current load time, and sales numbers, and assumes roughly a 7% conversion lift for every second saved.