Organic growth has plateaued
You rank for your brand and a few products, but non-branded category and product visibility has stopped growing.
We help e-commerce brands grow organic revenue, improve product visibility, and earn exposure across traditional search, AI Overviews, ChatGPT, Gemini and Perplexity.
Google still matters, but shoppers increasingly ask AI assistants which products to buy, which brands to trust, and how options compare. Your organic strategy has to perform in both places.
Improve visibility in traditional search results and bring qualified shoppers to your commercial pages.
Goal: RankStructure content so search engines and AI assistants can pull direct, useful answers from your site.
Goal: AnswerStrengthen the signals that help generative systems understand, cite, and recommend your brand.
Goal: Get mentionedMost growth problems are not caused by one missing keyword. They are usually structural, commercial, and technical.
You rank for your brand and a few products, but non-branded category and product visibility has stopped growing.
Every extra customer costs more ad spend, which leaves the business exposed when acquisition costs rise.
Variants, filters, collection URLs, pagination, duplicate content, and discontinued products create indexation noise.
Top-of-funnel content gets ignored, so you never reach shoppers while they are still researching the problem and have not picked a category or a brand yet.
Informational posts attract visits but never move shoppers toward categories, products, and a purchase decision.
Shoppers ask AI assistants for recommendations and comparisons, and your products are missing from the conversation.
Technical work, content, AI visibility and reporting all draw on the same foundation, so we usually run them as one program rather than four disconnected projects.
You can start with the one service that is your bottleneck. Most brands see better results running them together, because content needs the technical foundation, AI visibility needs the content, and reporting is what tells you which of the three to push next.
The objective is not more impressions. It is more chances for your products to enter a shopper's decision, starting earlier than the category page.
"Will a 40L backpack fit in an overhead bin?"
An AI Overview, ChatGPT, Gemini or Perplexity handles the sizing question before any store gets a click.
Your sizing guide is what gets quoted or ranked, and it links straight to the carry-on collection.
A collection page built to answer the question and move them toward a choice.
You entered the decision at the question, not at the last click before checkout.
For most stores, category, collection, and product pages hold the largest organic revenue opportunity. They are also often the least optimized pages on the site.
How we rank what to do first
AEO and GEO work is not adding "AI keywords." It is improving how machines interpret the product information your customers already care about.
Exact scope depends on the engagement, but every roadmap is prioritized around business impact rather than busywork.
E-commerce SEO has to account for inventory, catalogs, variants, collections, faceted navigation, merchandising, seasonality, and thousands of interconnected URLs.
Collections, products, variants, canonicals, structured data, merchant listings, and internal linking.
Large catalogs, international stores, enterprise architecture, complex workflows, and scalable implementation.
Product taxonomy, WordPress architecture, categories, performance, plugins, schema, and indexation.
Every engagement runs the same four steps, whether the priority is search, content, AI visibility or all of it.
A conversation about your business, your goals and what is actually in the way. It decides what we prioritize and whether we are the right fit at all.
We analyze your site, your category and your competitors, then build a strategy around the opportunities worth your money. You approve it before anything ships.
Priority technical cleanup and the first content both start in month one. From there we work down the roadmap while monitoring how search and AI respond.
Reporting on the metrics that matter to you, and a content program that keeps expanding the terms you rank for and the answers you get cited in.
Rankings are useful. Revenue is better. AI visibility is valuable, but we separate measurable exposure from claims that cannot be reliably attributed.
Most agencies can produce keyword reports, audits, and dashboards. The harder part is knowing what will actually move an e-commerce business forward.
We start with the commercial opportunity: where customers are searching, which pages should capture that demand, what stops those pages from performing, and how AI discovery is changing the buying journey.
Strategies built around products, collections, merchandising, and revenue.
Recommendations grounded in how large stores actually behave.
Content mapped to buying decisions, not traffic for its own sake.
Visibility strategy for traditional search and AI assistants alike.
E-commerce sites bring challenges like product variants, faceted navigation, duplicate URLs, changing inventory, collection architecture, large-scale internal linking, and thousands of product pages. The strategy has to handle those issues while prioritizing the pages that can generate revenue.
Engagements run on a contract with a three-month initial term, not month to month. Scope is set after the audit, work is sequenced on one roadmap, and you get reporting every month on keywords, clicks, conversions and AI visibility. You can start with a single service if one area is clearly the bottleneck.
SEO is a long-term acquisition channel. Technical fixes sometimes produce faster gains, while competitive categories take considerably longer. Timing depends on authority, competition, technical condition, content quality, and current visibility.
Answer engine optimization and generative engine optimization improve the information and signals that help AI assistants understand your brand, products, expertise, and the relationships between them. That covers content, structured data, entities, product information, third-party authority, and citations.
No agency can guarantee recommendations from ChatGPT or any other AI assistant. We improve the signals that make your brand and products easier to discover, understand, cite, and recommend.
No. Generative search is changing how people discover information, but the foundations that influence AI visibility overlap heavily with strong SEO: technical accessibility, authority, structured information, useful content, and clear brand signals.
We write and publish it. Content strategy without execution tends to sit in a spreadsheet, and the pages that reach shoppers early in their research are usually the ones nobody has time to write.
We evaluate commercially relevant prompts and track brand mentions, cited URLs, recommendation frequency, competitor visibility, and the sources influencing generated answers. AI attribution is still developing, so we do not pretend every mention ties directly to revenue.
No. Rankings and AI recommendations are controlled by third-party systems and cannot legitimately be guaranteed. We focus on building stronger technical, content, authority, relevance, and product-data signals.
Your next customer may find your products through Google, an AI Overview, ChatGPT, Gemini, Perplexity, or a search experience that barely existed a year ago. We will identify where you are losing visibility, where competitors are winning, and what to fix first.