01 P0 → P3
Revenue-Page Priority List
Every finding scored from P0 (indexation & revenue) down to P3 (hygiene), so you fix what moves money first.
Ecommerce SEO Audit for catalogs Google ranks wrong
Most audits check whether the store is healthy. This one checks whether Google understands its commercial structure: which page should win which search, and why the revenue pages don't.
3–4 wksaudit to prioritized roadmap
Healthy ≠ rankinga working store can still rank wrong
Indexed ≠ searchablein the index, not in the results
- Crawl Budget Analysis
- Catalog Architecture
- Faceted Navigation Audit
- Product Lifecycle Equity
- Revenue-Page Priority
- Powered by Algorithm
Ecommerce SEO audit diagnostics built for catalog scale
Core Capabilities
A technical audit asks whether the store works. This one asks whether Google reads it as a store: Query → Intent → Entity → URL, so every commercial search has one page built to win it. We read crawl paths, catalog architecture and demand against the catalog as it exists, and every finding comes with the URL list behind it.
Crawl Budget & Indexation
Crawl paths, parameter URLs & index bloat
Faceted Navigation Audit
Which facets deserve to exist in search
Category Architecture
Taxonomy depth, category page content & internal linking
PDP Quality & Uniqueness
Duplicate & manufacturer copy, attributes, schema
Catalog Cannibalization
One canonical destination per commercial intent
Product Lifecycle Equity
301/410 logic that preserves accumulated equity
Link Equity & Authority
Authority flow from homepage to money pages
SERP & AI Visibility
Clicks lost to SERP features & AI answers
Symptom → Diagnosis
You see the symptom, we trace it to the SKU
01
Traffic Without Revenue
Symptom
“Traffic is growing, but sales aren't.”
+
01
The Real Problem
You're attracting searchers, not shoppers. Informational traffic that never converts.
What We Check
Organic → revenue by query, category and product; branded vs non-branded; landing-page intent and conversion rate.
02
Indexed But Not Ranking
Symptom
“Our products are indexed, but don't rank.”
+
02
The Real Problem
Thin content and near-duplicate product pages. To a search engine, your products are interchangeable documents.
What We Check
Duplicate & manufacturer copy, attribute coverage, reviews, variants, PDP schema.
03
Categories Don't Rank
Symptom
“Our category pages don't rank.”
+
03
The Real Problem
Bare product grids with no context. Google can't tell what the category is or who it's for.
What We Check
Category → keyword mapping, unique content, subcategory architecture, entity coverage, schema.
04
Crawl Waste
Symptom
“Google crawls URLs nobody searches for.”
+
04
The Real Problem
Crawl budget spent on parameter and duplicate URLs while revenue pages get ignored.
What We Check
Crawlable vs indexed URLs, parameter & faceted URLs, orphan products, crawl depth, wasted paths.
05
Facet Explosion
Symptom
“Filters create more pages than our catalog.”
+
05
The Real Problem
Faceted navigation multiplies thousands of SKUs into hundreds of thousands of URLs that search engines have to crawl.
What We Check
Which facets have search demand behind them, and which only consume crawl and index capacity.
06
Buried Best-Sellers
Symptom
“Our best-sellers are buried four clicks deep.”
+
06
The Real Problem
Internal authority doesn't flow toward the products that drive revenue.
What We Check
Internal linking architecture, click depth, authority flow, product discovery paths.
07
Lost Product Equity
Symptom
“Out-of-stock products destroy our SEO equity.”
+
07
The Real Problem
Ranking products go 404 or redirect to home, and accumulated links and rankings vanish.
What We Check
In-stock → out → discontinued lifecycle: 301/410, keep-page, alternatives, preserved reviews & links.
08
Catalog Cannibalization
Symptom
“Multiple pages compete for the same search.”
+
08
The Real Problem
Several category/URL variants fight for one commercial query, and none win cleanly.
What We Check
Canonical commercial destination per intent, URL variants, category overlap, internal competition.
Proprietary Diagnostics & Continuous Access
The whole catalog mapped, URL class by URL class
Where standard tools sample a few pages, we map the catalog on our own engine: every category, filter and product URL as it crawls, indexes and competes with the rest. Your team gets full platform access during and after the audit.
Link Equity & Toxicity
Store backlink profiles pool at the homepage. The audit maps whether any authority reaches the categories that sell, and which donors carry the signals Google discounts.
What you see
- Which categories get authority, and which sell without any. External links per URL, where usually the homepage has them all, plus the internal donors that should feed each category, named.
- Money-keyword anchors before they look bought. “Buy”, “cheap” and product-name anchors as a share of the profile, with spike dates. Store profiles cross the line fast.
- Donors carrying the signals Google discounts. Coupon farms, paid-review hubs, network sites sharing hosting or ad IDs, flagged with what gave them away.
Internal donors are named with the anchor, so the fix is a list of links to add, category by category.
Catalog Index & Demand Map
Every URL class, categories, filters, tags, variants, gets one question: does it deserve its own place in the index? The dividing line is search demand, and we draw it per category.
What you see
- Which filters and tags deserve their own URL. Filter and tag combinations with search demand get a static URL, title and description; the rest are canonicalized or closed. A named list per category.
- Which URL should own each query. Categories, collections, filters and blog posts competing for one intent, sections duplicated between listings, variants multiplying near-duplicates, decided by meaning.
- Crawl budget spent where it pays. Infinite filter, sort and pagination combinations, the URLs that trap crawlers with no demand behind them, closed off, so Google spends its crawl on the categories that rank.
The rule for each facet is written per category, with the URL pattern, so your CMS team gets an indexation ruleset and not a principle to interpret.
Content Authenticity & E-E-A-T
Product claims, specs and reviews are measured as citable facts, the source signals shopping SERPs and AI answers attribute.
What you see
- Manufacturer copy and templated descriptions, by range. Product pages running feed text found elsewhere on the web, and AI-templated descriptions, ranked by how many products share the problem.
- Where a number should replace an adjective. “Premium quality” convinces no engine and no shopper. The pages where a spec with a source would replace the adjective, listed.
- Product and review schema markup that matches the page. Structured data validated per URL; the mismatches that cost rich results and Merchant Center free listings, named.
Manufacturer copy is matched against the web, so the share of duplicated PDPs is a number with the list behind it.
Full Coverage
The store as one dataset: organic demand by country and intent, the categories that earn traffic, the competitors holding the queries that sell, and the authority behind each.
What you see
- Where the store's traffic lands. Top pages by organic traffic and keywords, so you see which categories carry the store and which sell without any search demand behind them.
- Demand by market and by intent. Traffic and keywords across countries, transactional vs informational split, and the queries at positions 4–20 with the traffic they'd earn in the top three.
- The competitors holding your money queries. Keyword gap against your closest rival, traffic share, momentum, and Link Risk on a profile where money-keyword anchors pile up fast.
The dataset is the full catalog, every indexed URL, so a problem in one category doesn't hide behind a healthy sample.
AI Visibility Diagnostics
Shoppers ask AI what to buy. This module tracks which products and categories get you cited, and where competitors own the recommendation.
What you see
- Whether your products are in the “best X” answers. Six AI engines queried on the questions buyers ask, “best”, “worth buying”, “vs”, with your products marked present or absent per engine.
- Who AI recommends where you're absent, by category. Named competitors per query, share of recommendations per engine, and how they're mentioned: recommended, listed, criticised.
- The category pages AI would cite, and the ones it skips. Freshness, dated content and source signals on your category pages against the pages engines currently pull from.
Each query is re-run three to five times per engine, so one lucky answer doesn't count as presence.
More in the platform
Engineering tools for the scenarios where a mistake costs traffic: replatforming, headless storefronts, catalog pruning, post-update drops.
Internal Link Analyzer
Orphan pages, click depth, broken links, redirects, noindex and canonical mismatches across up to 5,000 URLs. Content links and navigation links are counted separately, because a link in the body and a link in the footer don't carry the same weight.
Pre-Migration
Large Catalogs
JS-Rendered Crawl & Technical Check
Headless-Chrome crawl for React, Next.js and Vue sites, so you see links and content as Googlebot renders them on mobile. Per URL: indexability, Core Web Vitals and site speed, structured data, hreflang, AI-crawler access.
Headless Storefronts
Redirect Chain & Loop Inspector
Bulk detection of multi-hop redirect chains, loops and canonical conflicts across the URL map, up to 500 URLs per run.
Replatforming
Catalog Pruning
Indexation Coverage Check
Indexed or not, URL by URL across the sitemap, in Google and Bing. The first thing to read after a drop.
Post-Update Drops
Schema Validation & Generator
Structured data validated per URL, and valid JSON-LD generated for 15 types with required and recommended properties checked as you type.
Product Schema
Replatforming
Content Audit & AI-Footprint Scan
Every article graded on depth, E-E-A-T signals and genre fit; AI-generated share per page; keyword cannibalization and freshness across the whole blog. Keep, rewrite or delete, as a named list.
Large Catalogs
Post-Update Drops
What You Won't Get
A revenue-page fix list, not a URL dump
A Typical Store Audit
A Neon Ecommerce SEO Audit
What you getAn 80-page report: fix your meta descriptions and image alt text
What you getWhich problems are suppressing your revenue pages, URL by URL
The scopeA find-and-replace exercise across product templates
The scopeCrawl, indexation, catalog architecture, intent and product lifecycle
The formatA 200-row spreadsheet nobody can prioritize
The formatRevenue-page priority, P0 indexation to P3 hygiene
The measureOrganic traffic, search engine rankings, and Domain Authority
The measureCrawl efficiency, commercial visibility, and revenue pages
The question left open"Okay… but why isn't the store growing?"
The question answeredWhere your catalog loses visibility, clicks and revenue, and how to fix it
Deliverables
What you walk away with, priority-ranked
Three things leave the audit with you: a PDF priority list with the reasoning written out, an Excel workbook of catalog findings, and platform access to check every URL yourself.
02 Crawl & Index Map
Crawl & Indexation Blueprint
Which URLs to index, block, canonicalize or prune, with a faceted-navigation ruleset for your CMS.
03 Category & PDP
Catalog Architecture Plan
Search-driven taxonomy, category page briefs, and PDP templates with the attributes, schema and content blocks a product page needs to rank.
04 Lifecycle Rules
Product Lifecycle Playbook
Out-of-stock and discontinued logic (301/410, keep-page, alternatives) to preserve accumulated equity.
05 Real-Time Platform
Algorithm Platform Access
Live view of indexation, rankings and crawl coverage across the catalog on our Algorithm platform, yours during the audit and after handoff, so your team can verify any URL at source.
06 7-Day Async Support
Implementation Guarantee
Seven days of written engineering support after handoff, with direct Q&A with our Lead Architect as your team ships the fixes.
Process
How the ecommerce SEO audit runs, four steps
Fixed scope. Clear timeline, typically 3–4 weeks. Engagements start at $1,500.
Step 1
Full Catalog Crawl
Search Console and analytics connected, then the entire catalog crawled, so every URL is classed as crawlable, indexed or wasted before any diagnosis.
Step 2
Demand & Architecture Mapping
Keyword research at catalog scale, laid over your taxonomy: which categories, facets and product pages have a query behind them, and which demand has no page at all.
Step 3
Diagnostic Synthesis
Findings from every module scored from P0 indexation to P3 hygiene, with the revenue pages at the top of the list.
Step 4
Walkthrough & Ticket Hand-off
A live walkthrough with your team, then the tickets and CMS rulesets are handed over and the seven days of written support begin.
Frequently Asked Questions
Before You Ask
Most store audits are a find-and-replace exercise: fix meta descriptions and image alt text, then a checklist of technical SEO and on-page items with no order to it. We map search demand against the catalog as it exists and diagnose where crawl, indexation, intent and product lifecycle are suppressing the revenue pages.
Usually 3 to 4 weeks. A catalog where the CMS generates hundreds of thousands of facet URLs sits at the longer end.
Yes. Shopify and Shopify Plus, Magento (Adobe Commerce), BigCommerce, WooCommerce, headless builds on Hydrogen or Next.js, or custom. Each platform generates URLs its own way, Shopify collections, WooCommerce filters, Magento layered navigation, so the tickets and CMS rulesets are written for the one you run, and your in-house team or agency can implement them as they are.
Yes, on the templates that carry revenue rather than as a sitewide average: category, product and checkout. Core Web Vitals and site speed are measured per template from a JS-rendered mobile crawl, and the fixes go into the dev tickets. What we don't do is treat speed as the diagnosis. A fast store with the wrong pages indexed is still a store Google ranks wrong.
An SEO audit, with the conversion path in scope where it explains the SEO. If organic traffic lands on a product page with a broken variant selector, or a checkout that fails on mobile, that shows up in the revenue-by-query data and we flag it. A full user experience and conversion rate audit is a separate engagement.
Sometimes the honest answer is that patching costs more than rebuilding. If the audit shows that, we say so and show the numbers. Design, development and SEO all sit in-house, so we can rebuild the catalog architecture from the ground up without losing the rankings and link equity you've already earned.
Read-only access to Google Search Console and your analytics is enough. No admin, CMS or code access needed. Our crawler maps how your facets, parameters and product templates generate URLs directly from the live catalog, and we pull backlink and ranking data through our own Algorithm platform, so you don't need a paid Ahrefs or Semrush seat on your side.
You talk to the people doing the work, not an account manager
Direct Contact
Lead at Neon. Runs its ecommerce SEO audit services and built Algorithm, our in-house analytics platform. 10+ years in search & digital design.
Roman Makuev
Not sure if your store needs a full ecommerce SEO audit?
Send us your URL. We'll take a first look and tell you whether an audit makes sense for where the store is now. If it doesn't, we'll say that too.