The job on your plate this week, answered.
Twenty-six specific jobs ecommerce teams hire eCommerce Insights to do, grouped the way the work actually flows: diagnose where your products stand, fix the gaps, monitor for regressions, prove the result. Every page shows the honest manual method first, then the faster one.
Diagnose
Find out where your products actually stand in AI answers — per SKU, per engine, with the gap named.
Check if my product appears in ChatGPT
Your best-seller's Google traffic is sliding. Is ChatGPT recommending you or a competitor? 90 seconds to an answer.
Ecom · SEOFind PDPs failing in AI search
Rank the catalog by citation and agent-readability risk. Each low score names the gap.
Ecom · SEO · AgencyAudit my Shopify catalog for AI readiness
One report covering every product before the quarterly review. PDF and CSV, with a category benchmark.
Ecom · AgencyImprove my Amazon listings for Rufus
Rufus ranks through COSMO's 15 intent relations, not keywords. Score your listings against the graph.
SEO · EcomCheck if AI agents can read my PDPs
Could a shopping agent find your price, stock, and returns policy? The agent-readability score answers per SKU.
SEO · DevFix robots.txt blocking AI crawlers
A stale robots.txt silently zeroes AI visibility. Check the eleven bots that matter and get the exact lines.
SEO · DevAudit a headless storefront for AI readiness
Client-side rendering hides schema from AI crawlers. URL-based scanning works on any stack.
Ecom · SEOFind out why ChatGPT recommends a competitor
Side-by-side analysis of the winning PDP vs. yours. The gap list is the action plan.
Ecom · SEOFind out where AI engines get product information
PDPs, reviews, Reddit, publishers — map the source graph behind every AI answer about your products.
Fix
Ship the schema, content, and crawler changes that close the gaps — as reviewable diffs, never silent auto-writes.
Fix product schema for AI search
Per-SKU JSON-LD recommendations as diffs. Push approved schema to Shopify metafields (early access).
SEO · DevGenerate llms.txt for my Shopify store
A valid llms.txt in 30 seconds, plus the Shopify Files + redirect hosting recipe.
EcomPrepare my store for agentic checkout
ACP, UCP, and the PDP groundwork every protocol presumes — sorted into "this quarter" vs. "watch."
SEOGet my products cited in Perplexity
Perplexity cites 3–7 sources per shopping answer. The changes correlated with winning one of those slots.
SEO · EcomGet my products into Google AI Overviews
No rank to climb — four gates to clear: indexation, schema, answer coverage, and the Merchant Center feed.
SEO · EcomRewrite product titles for AI search
Titles written for Google snippets read badly in AI answers. Per-SKU rewrite diffs, human-approved.
Ecom · SEOPrioritize which PDPs to fix first
1,800 SKUs, two writers. The fix queue ranked by revenue × score gap × engine coverage.
Monitor
Keep watch on every product so regressions surface in days, not quarters.
Track competitor products in AI answers
Watchlist any competitor product. Weekly change reports flag the meaningful movers and the likely driver.
Ecom · SEOMonitor product visibility weekly
A Monday-morning digest: what moved, what broke, three prioritized fixes.
SEORecover a lost AI citation
You were in the answer last month. Historical prompt snapshots show when it dropped and what changed.
Ecom · SEO · AgencySet up alerts for AI visibility drops
Know the day a top-50 product falls out of the answer, not at month-end.
EcomBenchmark my catalog against competitors
Scores without context don't drive decisions. Category benchmarks per engine, beside every score.
Prove
Turn visibility data into numbers leadership and clients accept.
Compare my brand's AI share of voice
A weekly share-of-answer number for you and your top three competitors, per engine, with SKU drill-down.
EcomProve AI search ROI to leadership
Baseline, per-SKU lift, session join, two-slide board story. Every number labeled honestly.
AgencyOnboard a new brand (agency)
New client signed Friday, baseline report by the kickoff call. Hours, not weeks.
Ecom · SEOTrack AI referral traffic in GA4
AI referrals scatter across direct and referral buckets. The GA4 setup that makes them visible.
AgencyReport AI visibility to clients monthly
Scheduled, branded monthly exports per client workspace. No screenshot collation.
Why eCommerce Insights publishes jobs-to-be-done pages
Category overviews help at the start of research. But most weeks, an ecommerce team has a specific task with a deadline — "I need to know whether ChatGPT recommends our best-seller before Friday's trading meeting" — and no amount of category education finishes it. A jobs-to-be-done page is the answer to that task, in that voice. The framing comes from Clayton Christensen's jobs-to-be-done research: customers hire products to finish jobs, so the documentation should be organized around the jobs.
Each page follows the same contract. The job, stated the way buyers state it. The manual method, described honestly — several of these jobs can be done with a private browser window and a spreadsheet, and the pages say so. Then the eCommerce Insights method as numbered steps, what a good result looks like with numbers cited or marked illustrative, and the related jobs in the next stage. For the concepts behind the jobs, see the guides library and the glossary. For the free tools the Diagnose jobs use, see the tools library. For what the paid product adds, see the product and pricing.
Ask AI about this library
Have your favorite AI engine match a job to what you need to finish this week.
Frequently asked questions
What is a jobs-to-be-done page?
How are the jobs organized?
How is this different from the guides library?
Which job should I start with?
Do the jobs require a paid eCommerce Insights plan?
Don't read about the job. Finish it.
Every job links the free tool or product feature that does the work.