Shopify, BigCommerce and headless storefronts: collection architecture, product schema, feed hygiene and paid media run against contribution margin.
Ecommerce growth stalls in predictable places: thin collection pages that can't rank, product data that search engines and AI models can't parse, a merchant feed quietly disapproving half the catalog, and paid campaigns buying traffic into pages that were never going to convert. We fix the catalog layer first, then scale demand into it — because paid traffic into a broken PDP is a rented, unprofitable number.
Most ecommerce SEO problems are catalog problems wearing a marketing costume.
— Arise GEO, Ecommerce Marketing Agency
If an AI model can't parse your product data, it will cite the retailer who structured theirs properly — even when you're the manufacturer.
— Arise GEO, Ecommerce Marketing Agency
Blended ROAS hides the truth. Contribution margin per channel tells you which campaign is actually paying rent.
— Arise GEO, Ecommerce Marketing Agency
We map which collections deserve indexable URLs, which facet combinations create crawl waste, and where the taxonomy fails to match real search demand. Then we fix canonicalization, internal linking and pagination.
One product data layer feeds organic rich results, AI answers and shopping campaigns. We align them so the same GTIN, availability, price and review data validates everywhere.
Meta, TikTok, Google Shopping and Performance Max managed against contribution margin with a creative testing cadence — not a monthly report of blended ROAS with no decision attached.
Shoppers increasingly start in ChatGPT, Gemini and AI Overviews. We build the comparison content, spec tables and entity signals that make your catalog the source those systems quote.
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.
No. Shopify and Shopify Plus are the most common, but we work on BigCommerce, Magento, WooCommerce and headless stacks. The diagnostics are platform-agnostic; only the implementation notes change.
Yes, and it's usually cheaper than splitting them. The same product data and landing-page work improves organic visibility and lowers paid CPCs, so running them together avoids paying two agencies to fix the same PDP.
It's the case we're built for. Large catalogs need templated fixes and crawl-budget triage rather than page-by-page work, so the audit prioritizes templates by revenue contribution and we implement at the theme and data-layer level.
Engagements start with a $4,500 forensic audit, credited into month one. Ongoing retainers run $6,500–$14,500 per month depending on scope, channel count and publishing volume. We don't bill a percentage of ad spend and we don't lock clients into 24-month contracts to hide slow starts.
A traditional agency optimizes for ten blue links and a paid auction. We optimize for those plus the answer layer — AI Overviews, ChatGPT, Perplexity and Gemini — where a growing share of commercial research now ends before anyone clicks. That means entity modelling, schema, citable content structure and measurement that separates classic organic clicks from assisted AI-influenced revenue.
Yes. Implement our 90-day plan and if the agreed leading indicators don't move within 3–6 months, we refund our fees. The guarantee covers our fee, not your media spend.
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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