You built the business on paid ads. ROAS is declining. CAC is rising. Your buyers research on Google, ChatGPT, Reddit, and YouTube before they buy, and most ecommerce SEO agencies still only look at Google. We find where you are invisible across all of these platforms, and we put a dollar figure on every gap before you spend anything.
The diagnostic call takes 15 minutes. You will see exactly where you show up, where you don't, and what the gaps cost you.

Your buyers type "best [your product category] for [use case]" into ChatGPT and Reddit. A competitor with a weaker product gets recommended because they have more community presence and more citations in AI answers.
Traditional SEO gave you blog content that ranked for keywords nobody in your buying cycle uses. Traffic went up, revenue didn't. That is the trap most stores are sitting in right now.
Search behavior split across platforms. Google still matters, but AI Overviews answer many product questions before anyone clicks, Reddit threads rank for "is [brand] legit", and YouTube reviews close high-consideration sales. An ecommerce SEO strategy that ignores these channels optimizes for a shrinking slice of your market.
We map the platforms where your category buyers research and make sure your brand shows up with the right proof. We talk in CAC, ROAS, and LTV, not sessions and impressions.
This works best for stores with proof worth surfacing: real reviews, real results, a product that deserves to win. If you want cheap blog posts by the dozen, we are the wrong agency.
Every engagement starts with the visibility diagnostic. From there, we build a sprint plan around the gaps with the highest revenue impact.
We check how ChatGPT, Perplexity, and Google AI Overviews answer your category's buying questions, and whether your brand gets named. Where you're missing, we fix the reasons: citability of your pages, structured data, third-party proof, and the community signals AI models pull from. This is the same discipline we cover in our work on generative engine optimization, applied to product and collection pages. If you want a quick read on where you stand, start with the AI visibility audit.
Faceted navigation, duplicate collection URLs, thin product variants, crawl waste, and slow templates quietly cap how far your store can rank. We audit the store the way Google crawls it, fix what blocks indexing, and make sure every page that can earn revenue is eligible to rank.
Collection pages win the commercial keywords in ecommerce. We match each collection to the keyword set it should own, fix titles and on-page structure, add the buying-guide content that separates a ranking collection page from a bare product grid, and mark products up with schema so they qualify for rich results and AI shopping citations.
We only brief content that targets a step your real buyers take: comparison queries, "best X for Y" queries, problem queries that lead to your product. Each piece gets a search volume number and a role in the funnel before anyone writes a word. No blog filler.
Rankings on commercial ecommerce terms are still a link competition. We build links from relevant publications and communities your buyers read, which also feeds the citation pool AI answers draw from. One channel, two payoffs.
You get reporting that connects visibility changes to assisted revenue, CAC relief, and LTV, pulled from your analytics, not screenshots of ranking tools. If a sprint didn't move a number you care about, you will see that too.
At the start of each week we map out the next set of highest-impact steps based on what the data shows right now. Rankings that moved. Pages gaining impressions but not clicks. AI answer sources that changed. Any new gap that opened since last week.
That list gets ranked by estimated revenue impact. The top items become the work for the week. You see the reasoning before anything starts, so you are never paying for tasks that have no clear business case behind them.
This is the opposite of a retainer model where a fixed scope of work runs on autopilot. The work adjusts every week to match where the opportunity actually is.
Most ecommerce SEO agencies sell you a team you never meet. The pitch deck features the senior people, the work gets done by whoever is available.
Working with an ecommerce SEO consultant model means the person who diagnoses your store is the person who plans the work. You get senior judgment on what NOT to do, which in ecommerce SEO saves more money than any tactic. Stores burn budgets on content nobody searches for and links that move nothing. The consultant's job is to stop that before it starts.
If you want ongoing strategic support beyond sprints, our AI SEO consulting engagement covers that.
Shopify has its own SEO quirks: duplicate product URLs, locked URL structures, tag pages, app bloat. We work with Shopify daily and keep a dedicated service page for it at Shopify SEO agency. If you want to fix the basics yourself first, work through the Shopify SEO checklist.
A Shopify store's buried category pages became $287K in tracked revenue from one transformation project. A food and beverage brand was leaking $9,300 every month from pages it already had; we found the leak and plugged it. An Australian equipment retailer turned five ignored keywords into $428K while everyone else chased volume.
Every result is documented on our case studies page. If your store dropped after an update, start with Google update recovery.
An ecommerce SEO agency increases the revenue an online store earns from organic search. The work covers technical fixes that let pages rank, collection and product page optimization for commercial keywords, content for buying-cycle queries, link building, and increasingly, visibility in AI answers like ChatGPT and Google AI Overviews. At SEOLeverage, every task is prioritized by estimated revenue impact before it gets done.
Our work runs in 30-day sprints, each scoped to close a specific visibility gap with a revenue estimate attached. You approve the math before any sprint starts. This usually costs less than a traditional retainer because you only buy the work that has a business case.
Technical fixes and collection page optimization often move rankings within weeks because the pages already have history. New content and link-driven gains typically take three to six months. AI visibility changes can show up faster, since AI answers refresh their sources more often than classic rankings turn over. We set the expected timeline per sprint, in writing, before we start.
Hire a consultant model when you want senior judgment on strategy and prioritization, and an agency model when you need ongoing execution volume. SEOLeverage combines both: consultant-level diagnosis and planning, with execution handled in defined sprints, so you never pay for activity without a plan behind it.
No. We work with Shopify, WooCommerce, BigCommerce, and custom storefronts. The platform changes the technical checklist, not the strategy: find where your buyers research, show up there with proof, and measure it in revenue.
Every week your buyers research your category on platforms where you don't show up, a competitor collects those sales. The diagnostic call takes 15 minutes and shows you exactly which gaps are costing you revenue, and which ones are worth closing first.