Marketplaces face SEO failure modes single-brand stores never see: thin seller pages, duplicate listings across sellers, faceted-nav explosion, and category pages that compete with themselves. We audit the full marketplace architecture.
Marketplaces are SEO on hard mode. Thousands of seller pages, duplicate listings across sellers, faceted navigation that explodes into millions of crawlable URLs, and category pages that cannibalize each other. Generic ecommerce audits miss every one of these. We've audited marketplaces with 50K+ sellers and 10M+ SKUs — and the playbook is different from single-brand DTC.
When ten sellers list the same SKU, you have ten duplicate pages competing — or one canonical page with the wrong seller surfaced. We audit consolidation strategy, canonical chains, and listing variant handling at scale.
Most marketplaces let every seller page get indexed by default — most of them are thin, duplicated, and dilute category authority. We audit which seller pages earn indexation and which should be consolidated or noindexed.
Marketplace facets (brand × category × attribute × price × seller) can generate millions of URLs. We engineer which facet combinations earn indexation, which get noindex+follow, and which get blocked at robots.
AI engines increasingly cite marketplace category and comparison pages on "best X" and "X under $Y" queries — but only when schema, content depth, and seller signals are clean. We engineer the citation surface.
We can promise this because our methodology already works. Hundreds of pages now sit in position #1 across our clients' catalogs. The risk shouldn't be on you — it's on us.
From early-stage (10K SKUs, 100 sellers) up to enterprise (10M+ SKUs, 50K+ sellers). The methodology scales — pricing scales with catalog size and locale count.
Both. Horizontal marketplaces face heavier facet + canonical work; vertical marketplaces face deeper category cannibalization and entity-level work. Audit scopes differ accordingly.
We audit your current canonical strategy, then prescribe either consolidation (one canonical PDP with seller variants) or a cleaner attribution model. Either way, the goal is one authoritative page per SKU that ranks — and surfaces the right seller.
Yes — seller-onboarding SEO templates and content quality scoring are part of the deliverable on request. We give you the framework to push SEO quality back to the seller side.
More than ever. AI Overviews and AI Mode increasingly cite marketplace category pages on commercial queries ("best running shoes under $100") because they aggregate the comparison data the AI needs. Marketplaces with clean schema and content depth get cited; thin ones get skipped. See our /services/ai-overviews-optimization playbook.
Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full. The risk sits with us.
Three layers, in order. First, entity clarity: one canonical Organization with @id anchors, sameAs links to authoritative databases, and knowsAbout coverage of your real expertise. Second, extractable content: atomic answer blocks, comparison tables, transparent pricing and specs, and FAQ blocks on every commercial page. Third, corroboration: mentions in the roundups, directories, review platforms, and trade publications those engines retrieve. Measure it by probing a fixed set of buying questions monthly and tracking citation frequency per engine.
Citability. AI engines lift passages that answer one question completely in 40–80 words, in plain language, with a concrete number, definition, or list. Pages that bury the answer under narrative rarely get quoted. We rewrite key pages so every important question has a self-contained answer block, wrapped in schema that labels what it is.
Yes, because AI answers are built from indexed pages. Every major assistant retrieves from a crawled index, so pages that aren't crawlable, renderable, or structured never enter the candidate pool. Classic SEO is now the entry requirement for AI visibility, and the two programs share almost all of the same work.
Technical recovery and on-page work typically show movement in 30–60 days. AI citation lift on long-tail and comparison queries usually lands in 30–90 days. Category-level authority and head-term rankings are a 6–12 month curve. Every engagement ships a sequenced 90-day plan so early wins fund the long work.
You get a forensic audit, a prioritized 90-day execution plan with effort and impact scoring, and optional done-for-you implementation by our engineers and editors. Pricing is scoped per engagement based on catalog size, locale count, and whether you want execution included. Implement our 90-day plan and if you don't see results in 3–6 months, we refund you in full.
Audits scoped within 24 hours. Results within 90 days, or your money back.
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