ConversionEX
Services
WorkReviewsAboutContact
Columbus, OH

eCommerce SEO & GEO in Columbus, OH

Ranking the pages that sell in categories where buyers search by size, fit, material and use case rather than by brand.

Delivered remotely for brands across Columbus and Ohio.

Grow · Columbus

Why Columbus brands come to us for this

  • Faceted navigation and parameter crawl controlled first, so crawl budget stops being spent on filter permutations
  • Attribute-led sub-collections for extended sizing, tall and petite, wide fit, fabric and occasion — where the commercial queries actually live
  • Measurement and fit data published as structured, readable content rather than an image, so answer engines can cite it
  • Collegiate and fan merchandise pages built and indexed in spring for an August curve, not published when traffic arrives
  • Equipment spec, compatibility and comparison content written in autumn for the January and March strength peaks

Apparel and footwear search is attribute search. People do not type your brand name; they type a length, a width, a fabric, an occasion and a size. That maps almost perfectly onto a collection architecture and almost not at all onto a default Shopify catalogue, which ships collections with thin titles, no copy and faceted navigation quietly generating thousands of crawlable parameter combinations. Fixing the crawl problem comes first, because there is no point building landing pages into a site that is spending its budget on filter permutations.

Then we build the pages the demand actually wants. Sub-collections for the attributes buyers search on — extended sizing, tall and petite, wide fit, fabric, occasion, price band — each with copy that answers a real question and internal links from the styles that belong to it. Extended sizing deserves particular attention in this market: demand for it is well ahead of supply in most independent catalogues, the queries are specific and commercial, and a brand that can genuinely serve them has an unusually clean run at pages the larger retailers treat as an afterthought.

Product pages then carry the technical weight. Product and Offer schema with live price and availability, review markup that stays valid as sizes sell out, and — the part most stores skip — size and measurement data expressed as structured content rather than an image. That last one matters more every quarter, because an answer engine summarising 'does this brand run small' can only cite text it can read. Our GEO work sits on the same foundation: clean extractable answers, entity consistency across your profiles, and buying-guide content written to be quoted rather than to fill a content calendar.

Attribute-firstcollection map built from size, fit and use-case demand rather than internal category names
Schema on stockProduct and Offer markup that stays valid as individual sizes sell out
Non-brand splitreporting separates branded from non-brand organic so growth is visible
Local context

Seasonal query curves you can see coming

Columbus gives an SEO programme unusually legible seasonality, which is a gift if the content calendar respects it. Collegiate and fan merchandise demand builds from late July, peaks with the return to campus and holds through football season — and the pages that catch it have to be indexed and linked months before, not published the week traffic arrives. Strength and fitness search climbs into the Arnold Sports Festival in March and again in January, so equipment buying guides, compatibility explainers and spec comparisons get written in autumn to be ready. Gifting queries for candles, fragrance and beauty run from October. We work backwards from those curves, and we are equally clear about what local SEO is worth to you: for most brands here the commercial value is in national category and attribute demand, not in ranking for a neighbourhood. Where you do have a Short North or Grandview storefront, that is a separate, smaller local pack job and we scope it as one rather than pretending it is the strategy.

Scope

What eCommerce SEO includes

The same standard of work we run for every client — applied to a Columbus brand’s realities.

Full service detail
01

Technical SEO Remediation

Canonical strategy for /products/ versus /collections/products/, robots.txt.liquid rules, parameter handling, pagination, sitemap hygiene and crawl-budget recovery.

02

Collection & Category Architecture

A collection map built from real search demand, including sub-collections for attributes buyers search on: size, material, use case, price band, occasion.

03

Product Page Optimisation

Titles, descriptions, image alts, Product and Offer schema with live price and availability, plus review markup that stays valid as inventory changes.

04

Commercial Content Programme

Buying guides, comparisons and category explainers targeting mid-funnel demand, each linked into the collections they support. No filler blogging.

05

Generative Engine Optimisation

Entity and schema work, clean extractable answers, llms.txt and citation-worthy content so ChatGPT, Perplexity and AI Overviews reference your store.

06

Digital PR & Link Acquisition

Targeted outreach for editorial links to collection and guide pages from publications your buyers actually read. No directories, no link farms.

Scoped and quoted for your Columbus store

We do not work off a rate card. Every Columbus engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.

Get this scoped
How it runs

From kickoff to results

01

Technical Audit

A full crawl plus log-file analysis to find what Googlebot actually sees and where crawl budget is being spent. Findings ranked by revenue impact.

02

Demand Mapping

Keyword research mapped to your catalogue and margin, not to search volume alone. High-volume terms you cannot profitably serve get cut.

03

Fix the Foundation

Technical remediation ships first. There is no point building content on a site that wastes half its crawl budget on filter URLs.

04

Build & Publish

Collection landing pages and commercial content shipped on a fixed monthly cadence, each with internal links planned before it goes live.

05

Measure & Iterate

Monthly reporting on non-branded organic revenue, index coverage and AI citations. Branded queries are excluded from every growth number we show you.

Proof

eCommerce SEO results

Anonymised under NDA. Figures pulled from the client’s own analytics.

Premium Skincare (DTC)

8-figure DTC brand, ~140 SKUs, US + CA · Shopify Plus (migrated from Magento 2)

Magento 2 cost $9k a month in hosting, extensions and emergency dev before a single feature shipped. Mobile LCP sat at 5.4 seconds and mobile converted at less than half the desktop rate across 68% of sessions. The named constraint: 11,412 indexed URLs and a top-3 organic position on their hero category, so a migration that lost rankings would cost more than the platform ever saved.

+41%mobile conversion rate1.62% to 2.28% over the first 90 days post-launch
5.4s → 1.8smobile LCP75th-percentile CrUX field data, not lab
+27%organic sessionssix months post-migration vs. pre-migration baseline, branded queries excluded
$108k/yrplatform cost removedhosting, extension licences and the standing emergency dev retainer
Engagement Replatform + CRO retainerTimeframe 7 months (4-month migration, 3-month optimization)

Outdoor & Sports Gear

~$7M/yr, 480 SKUs, US + EU via Shopify Markets · Shopify Plus (Shopify Markets, 3 regions)

Paid social carried 81% of revenue and CAC had climbed 44% in eighteen months. Organic sat at 2,100 sessions a month against category competitors doing ten times that, and the EU storefront duplicated the US catalogue with no hreflang at all. The named constraint: three national retailers own the head terms with link profiles this brand could not match in a year, so the plan had to win on query depth instead of authority.

+186%organic sessions2,100 to 6,000/mo, branded queries excluded
+21%conversion rate on organic traffic1.9% to 2.3% after the collection and PDP work landed
$61 → $45blended CACorganic share of revenue went from 8% to 24%
+38%revenue year over yearwith paid media spend down 12%
Engagement SEO + GEO program with a CRO workstreamTimeframe 12 months
In their words

Clients on this work

+58% organic revenue YoY

“Honestly I signed for the SEO and the AI-search piece was a footnote in the proposal I skimmed. Then in March our product pages started getting quoted in ChatGPT answers for insulated growler queries, and that traffic showed up in GA4 with real purchase intent attached to it. Organic revenue is up 58% year over year and roughly a fifth of that comes from surfaces that didn't exist when we signed the contract. I still don't fully understand it. I've stopped questioning it.”

Director of MarketingOutdoor gear brand, ~$15M/yr · Seattle, WA
Verified client, 2026
FAQ

eCommerce SEO in Columbus — your questions

Carefully, and within your licence. Trademarked team names and marks are constrained by the licensing agreement you signed, and the official rights holders will outrank you on the head terms regardless. The realistic play is the long tail the official shops ignore: specific garment types, fits, sizes, colourways and gift framings. We read your licence terms before writing the plan, because an SEO strategy that breaches it is worse than no strategy.

Usually not much, and we would rather say so. Your revenue is in national attribute and category demand, and optimising for a city modifier chases a few dozen searches a month. The exceptions are real: a physical store in the Short North or Grandview Heights, local pickup, or a service element like fittings — those justify a proper local pack and Google Business Profile effort, scoped separately from the national programme.

By publishing the answer in text a model can extract, and by being consistent everywhere else it looks. That means measurement tables as real content, an explicit fit statement per style, review text left indexable, and consistent entity information across your site, profiles and any editorial coverage. Models cite sources that state things plainly; a size chart trapped in a JPEG is invisible to them and to search.

Usually a mismatch between the query and the page. A collection ranking for a research-stage question will convert badly no matter how it is designed, and the fix is a guide page that owns the research query and links into the collection, rather than trying to make one page do both jobs. The second common cause is stock: a collection that ranks well but has broken size runs converts like a broken page, because it is one.

Technical fixes can move impressions inside four to six weeks. New collection pages and content typically need three to six months to rank on commercial terms. Nine months is a fair window to judge the programme on revenue. Anyone quoting thirty days is describing a fluke, not a plan.

Always. Branded queries grow when your paid media grows, so including them inflates SEO numbers for work SEO did not do. Every growth figure we report to you is non-branded, and we show the branded split separately so you can see both.

Generative engine optimisation is making your store citable by AI answer engines. It matters now for research-heavy categories where buyers ask an assistant before they search. The work overlaps heavily with good technical SEO: clean entities, correct schema, extractable answers and content worth citing.
Next step

eCommerce SEO for your Columbus brand.

Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.

Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead

Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.