Query mapping
We build the query set buyers actually type on each platform, then place every term where it carries weight: title front-load, bullet one, backend keywords, and attribute fields that feed filters.
Your products compete inside a search box you do not own. SEO for marketplaces is the discipline of ranking in that box, then routing the demand you build toward channels you do control. We treat every listing as a page: a title built from real queries, attributes that survive the filters, images that answer objections, and a clear path back to your brand.
Most sellers blame the algorithm. In practice, marketplace ranking leans on a short list of things you can control: how closely the title matches the query, whether the item sits in the category shoppers actually filter into, how complete the attributes are, how the listing converts once it is seen, and how recently it earned sales and reviews. Miss two of those and a better-optimised competitor with a weaker product takes the click.
The pattern repeats across categories. Titles are written in internal SKU language instead of buyer language. Half the attribute fields stay empty, so the item vanishes the moment a filter is applied. The same bullet points are pasted onto four platforms, which reads as thin copy on all four. Specifications live inside a JPEG, where neither the platform index nor a buyer scanning the page can use them. Reviews are collected by accident rather than by design, so the star rating tells a story nobody planned.
Then there is the quiet leak: nothing in the listing gives a happy buyer a reason or a route to buy from you directly next time. Every repeat order restarts at the top of somebody else's funnel, and you pay the platform again for demand you already created. Fixing the listing without fixing that leak is half a strategy.
Every deliverable below maps either to something the platform index can read, or to a decision a buyer makes before checkout. If it does neither, we do not bill for it.
We build the query set buyers actually type on each platform, then place every term where it carries weight: title front-load, bullet one, backend keywords, and attribute fields that feed filters.
One repeatable formula per category: core noun, differentiator, size or compatibility, pack detail. Ordered for how each index weights the early tokens, kept readable for humans.
Correct browse node, full attribute coverage, unit and compatibility data in text, variant grouping that keeps reviews on one parent instead of scattering them.
Follow-up timing, review request flows, answer-ready Q&A seeding, comparison imagery and pack architecture that lifts conversion on the sessions you already pay for.
Dimension diagrams, in-use scenes, comparison charts. Copy inside images stays short and is repeated in text so the index and the buyer both get it.
Insert cards, brand-store links, packaging QR codes and a reason to buy direct next time, wired to a store page that can actually close the sale.
The truth about your product does not change from one platform to the next. The way each channel rewards content does. We adjust the strategy, never the facts, and we never build a plan that depends on another seller's listing being weak.
| Channel | What search rewards | Content depth that works | Role in the mix |
|---|---|---|---|
| Amazon | Query-to-title match, attribute completeness, conversion and review velocity | Deep: A+ modules, comparison tables, full spec blocks | Volume and discovery, with tight margin control |
| eBay | Exact item specifics, condition clarity, keyword order in the title | Medium: precise specifics, short descriptions, strong photos | Clearing stock, refurbished and parts demand |
| Etsy | Gift and style intent, tag and attribute relevance, listing freshness | Story-led: materials, process, care, occasion | Niche and personalised demand at higher margin |
| Your own store | Category architecture, product copy, links, speed and structured data | Deepest: buying guides, FAQ, comparison pages | Margin, first-party data and repeat purchase |
Marketplace work fails when it is treated as a burst of rewriting. It holds when it becomes a monthly operating rhythm with an owner, a queue and a read-out.
We pull every live listing, score title intent match, attribute completeness, image coverage and review position, then rank the catalogue by revenue at risk.
Platform search suggestions, internal search terms and PPC query reports become one demand sheet, split by channel so the same term is not used where it carries no weight.
Titles, bullets, attributes and images are rewritten to the demand sheet and shipped in priority order, so the top twenty per cent of revenue moves first.
Insert cards, brand-store assets and claim codes connect the marketplace buyer to a store page built to receive them, with tracking that survives the platform.
One page: what shipped, what moved, what is blocked. Search-term shifts on the platform, sessions on the store, and the next queue in priority order.
Duplicating text across platforms is the fastest way to look thin everywhere. We build a master asset sheet per product: verified specs, dimension data, use cases, objections, care notes, and three to five proof points. From that sheet, each channel gets a genuinely different edit, tuned to how people search there.
A listing title is short and query-led. A store product page can carry the full story, the buying guide and the FAQ. A category page pulls the comparison logic out of the listing and makes it linkable. Because the underlying facts are shared, nothing contradicts anything else, which matters when a buyer checks two channels before ordering.
The same pack feeds your owned store, where the margins and the customer data live. If that store runs on Shopify, the pack drops straight into Ecommerce SEO Services work: collection copy, product templates, structured data and internal links. If you sell a broad catalogue across several channels, pair this with Shopify SEO Services so the marketplace and the store are planned as one system rather than two competing projects.
Numbers below come from client reporting, rounded, with the industry generalised at the client's request. They are outcomes we have run, not a promise of what your catalogue will do.
A home goods supplier, 6 months: organic inquiries 5→23/mo
Listings plus storeA tooling exporter, 5 months: store revenue from marketplace buyers 8%→21%
Bridge programmeA pet accessory brand, 4 months: listing conversion 1.6%→2.7%
Review and image rebuildWe quote by scope, not by a published rate card, because a catalogue of forty SKUs across two channels and a catalogue of four thousand across five are different jobs. After a short discovery call we send a written scope covering channels, SKU bands, the number of listing rebuilds per month, the store bridge, and the reporting you will receive.
Most clients start with a paid audit and a priority queue, then move to a monthly programme once the first twenty per cent of revenue has been touched. If a channel is not worth your margin, we will say so before you spend anything on it.
Attribute and title fixes can shift impressions within two to four weeks because they change what the index can match. Review velocity and conversion take a full quarter to compound. A realistic read of a rebuilt catalogue is three months, with the first signals inside six weeks.
Yes. We do not buy reviews, we do not stuff invisible keywords, and we do not use insert cards that violate a channel's policy. If a tactic would put your seller account at risk, it is not in the plan, no matter how well it might work for a month.
Programmes run in monthly cycles with no long lock-in after the initial build. The first month is heavier because the audit, demand sheet and priority rebuilds happen then. From month two the rhythm is rebuilds, reviews and reporting.
Seller access or a read-only export, the product spec sheets, brand assets, and one person who can approve copy. If you have existing A+ modules or brand-store pages, we need edit rights. Approval speed is usually the single biggest determinant of results.
Three layers: platform-side impressions, clicks and conversion from seller reports; store-side sessions and orders from your analytics, tagged with channel parameters; and a monthly branded-search and direct-traffic check. Where platform attribution is opaque, we compare periods and cohorts rather than claim precision we do not have.
Yes, and we usually recommend it. The marketplace programme produces the demand; the store has to be able to receive it. Category structure, product templates, speed and schema on the store side are handled by the same team so the hand-off actually converts.
Send one product URL and one store URL. We will come back with the three listing fixes we would make first, free, before you commit to anything.