E-commerce SEO & AI-Readiness Audit for Online Stores
An e-commerce SEO and AI-readiness audit is a live check of whether search engines and AI shopping assistants can crawl, parse and cite your product and category pages — the pages that win or lose the "best X to buy" answer.
AI assistants now recommend specific products with prices and reasons, lifted from whichever store's pages carry complete structured data. The recurring store failures: Product schema missing price or availability, faceted navigation exploding into duplicate URLs, and category pages with nothing quotable on them.
Audit your e-commerce page free — one scan, ~15 seconds
What a Maveriko audit checks
The audit fetches your live URL the way Google and AI answer engines do, and scores the controllable foundations of search and AI retrieval:
- Crawler + AI-crawler access — robots.txt, sitemap and whether GPTBot, PerplexityBot and Google-Extended can fetch the page at all.
- Indexability — noindex directives, canonical correctness and redirect chains that quietly keep pages out of the index.
- Structured data — which JSON-LD types are present and valid (Organization, Article, Product, FAQ), and whether they conflict.
- Answer structure — one clean heading outline, direct one-line answers under each section, and real lists and tables engines can lift.
- Performance & security — HTML weight, compression, render-blocking, HTTPS/HSTS — the signals that gate both ranking and crawl budget.
- Entity authority — whether an AI engine already recognises the brand via Wikipedia, Wikidata and consistent sameAs links.
New to the concepts? AI visibility and GEO explain what AI answer engines look for.
Common e-commerce issues we find — and the fix
Product schema missing price, availability or ratings
Why it matters: Incomplete Product markup forfeits rich results and gives AI shopping answers nothing reliable to quote — so the recommendation cites a competitor or a marketplace instead.
Fix: Complete Product/Offer schema on every product: price, currency, availability, and genuine aggregateRating. Validate one template in Rich Results, then roll out.
Faceted and filtered URLs indexed as duplicates
Why it matters: Colour, size and sort parameters multiply one category into hundreds of near-identical URLs that split ranking signals and burn crawl budget.
Fix: Canonical filtered views to the clean category URL and keep only deliberately-chosen facets indexable. Spot-check a filtered URL in the audit.
Category pages with no answer content
Why it matters: "Best running shoes under ₹5,000" is answered from category-level content; a bare product grid gives engines nothing to lift, so buying-guide sites take the citation.
Fix: Add a short H2-led buying guide, a comparison list and an FAQ block to key categories — real content above or below the grid, in the server HTML.
Brand entity absent outside the marketplace
Why it matters: If Amazon and Flipkart listings outrank your own domain and no Organization schema ties your brand together, AI engines resolve your brand to the marketplace, not to you.
Fix: Add Organization schema with sameAs to your marketplace storefronts and social profiles, so every mention reinforces one entity that you own.
Reviews rendered by a third-party widget
Why it matters: Review content injected client-side by an app is invisible to the first-response crawl — the strongest trust signal on the page never reaches the engine.
Fix: Use a review system that outputs server-side markup (or mirror the aggregate into your own Product schema) so ratings exist in the HTML engines fetch.
Tools to fix it faster
Free, in-browser generators for the fixes above — nothing you type leaves your device:
Schema Markup Generator
Valid Organization, Product, Article & FAQ JSON-LD
Meta Tag & Heading Builder
Length-checked titles, descriptions and outlines
Robots.txt & Sitemap Generator
Crawler + AI-crawler access, done right
AI Readiness Checker
Paste your HTML, score the on-page half
Sizing up rivals? Run a competitor gap report to see where their pages beat yours. Built on a specific CMS? See the platform-specific guides.
Frequently asked questions
Do AI assistants really recommend individual products?+
Yes — ChatGPT, Perplexity and Google AI Overviews all answer "what should I buy" queries with named products, prices and reasons. Those details come from structured product data and quotable category content, which is exactly what this audit scores.
Which page should I audit first — home, category or product?+
A top-selling product page first: it carries the schema completeness checks that most affect rich results and AI recommendations. Then a key category page, which is where the buying-guide answers come from.
We sell on marketplaces too. Does our own site still matter?+
More than ever. Marketplaces win the transaction, but your own domain is what establishes the brand as an entity AI engines can verify. A store whose brand resolves only to Amazon has no authority of its own to build on.
Will fixing schema alone lift my scores?+
It's usually the single biggest jump for stores, because Product markup feeds both rich results and AI extraction. But crawl hygiene on faceted URLs and quotable category content are what turn one good page into a site-wide gain.
Fixing one page? Audit the whole site.
These tools work on a single page, in your browser. A free account runs the full live-URL audit — SEO, GEO and entity authority — with the exact fix for every issue and your report history saved. Free for 7 days, no card.