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Ecommerce SEO

SEO, AEO and GEO for Ecommerce Brands and Online Stores

Shoppers ask AI engines what to buy and get a shortlist with reasons before they visit a single store. If your products are missing, the order goes to a competitor and your paid shopping bill keeps climbing. We run ecommerce SEO, AEO and GEO as one plan across category pages, product data and the review sources engines read. Every month we report orders and non-brand revenue against a fixed baseline.

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Why shoppers pick a product before they ever reach your store

A shopper who wants a new espresso machine no longer starts on page one of Google. They ask an AI engine for the best one for a small kitchen on a set budget and get three or four names, each with a reason. Google now puts its own AI summary of product comparisons above the results. Those answers are built from review publishers, Reddit threads, YouTube reviews, Amazon reviews and product feeds. By the time anyone clicks, the shortlist is written, and stores outside it never see the visit.

Our shopping ads cost more every quarter

Paid shopping was meant to carry the store until organic caught up. Organic never did, so every order still carries a click cost, and the day the budget pauses, revenue pauses with it. Each quarter the same order costs a little more to buy.

AI answers keep recommending a competitor's product

A shopper asks for the best option in your category and the answer names two rivals, quoting a roundup you are not in. Your product may be better or cheaper, but the engine has no source that says so, and the sale goes somewhere else.

Google crawls thousands of our pages and ranks few

Filters, sort orders, colour variants and out-of-stock pages create thousands of near-duplicate URLs. Crawlers spend their visits there while the category pages that should earn orders sit on page three, and engines can't tell which version of a product is the real one.

What our ecommerce SEO work builds for your store

Six workstreams run from one roadmap, ordered by what your baseline shows is losing the most orders. Some stores need the index cleaned up before anything else will rank. Others are readable already and simply missing from the sources engines quote. We ship the fixes ourselves and count what they earn in orders.

01

Prompts and searches mapped to real buying questions

We collect the prompts and searches shoppers use right before they buy, such as best [product] for [need], [brand] vs [brand] and is [product] worth it. Then we record which stores and products each engine names, and where your category pages rank on Google and Bing.

02

Category and product pages engines can quote

Category pages get buying guidance that helps a shopper choose. Product pages get structured data and quotable facts such as materials, sizes, compatibility and care. We add comparison and best-for pages, buying guides and brand story pages that make clear who you are and how you make things.

03

Your products in the reviews engines read

Engines lean on review publishers such as Wirecutter, niche blogs and Trustpilot, alongside Reddit, YouTube reviews and Amazon reviews. We focus on the publications, roundups and review sites, pitching your products for testing. We don't work Reddit, YouTube or social, and we never buy or incentivise reviews.

04

One consistent product and brand record everywhere

Product names, prices, availability and identifiers match across your site, your Google Merchant Center feed, your schema and the marketplaces you sell on. When those records disagree, engines hedge or pick the wrong listing. When they agree, your brand and products are described the same way in every answer.

05

An index cleared of filter and variant clutter

We decide which filter, sort and variant URLs deserve to be indexed and close off the rest with canonicals, noindex and internal links. We also fix prices and stock that only appear after JavaScript runs, slow templates and blocked AI crawlers, so every engine reads the pages that sell.

06

Orders and revenue counted, not sessions

We report orders and revenue from non-brand organic search, assisted revenue from AI referrals, average order value and the return on this work compared with paid shopping. All of it is read in your own analytics, against the baseline set before any work began.

Covered on every engine your buyers use

  • ChatGPT
  • Perplexity
  • Claude
  • Gemini
  • Google AI Overviews
  • Google AI Mode
  • Copilot

ChatGPT search and Copilot draw on Bing's index, so Bing rankings feed AI answers. We work on search and AI engines as one program.

How it works

The same four steps on every engagement, with a clear view of what to expect at 30, 60 and 90 days.

  1. 01

    Understand

    Map your business, buyers, competitors and the prompts and searches that decide your category.

    Days 1 to 30. A fixed baseline across every engine and the prompts that matter.

  2. 02

    Prioritize

    Pick the few moves that will get you recommended fastest and turn them into a focused roadmap.

    Days 1 to 30. A focused roadmap agreed, with the first fixes already shipping.

  3. 03

    Execute

    Do the technical, content, authority and AI visibility work ourselves.

    Days 30 to 60. Content, technical and authority work shipping every week.

  4. 04

    Improve

    Track AI citations, rankings and the leads they drive against the baseline and keep refining.

    Days 60 to 90. A first read against the baseline, then the next quarter planned.

Case studies

The same method we used for a fragrance retailer applies to any store whose product pages engines can't tell apart, and the index cleanup we ran for an AI video platform carries over to large catalogues.

Read all case studies

Who this is for, and who it is not for

A good fit

Online stores with products in stock, a working checkout and order data you can read by channel

  • DTC brands selling products they make
  • Multi-brand retailers and marketplaces
  • Shopify and WooCommerce stores
  • B2B ecommerce and wholesale sites

Not a fit yet

  • Stores looking for someone to run their paid shopping ads
  • Brands that want reviews bought, written or incentivised
  • Businesses with no live website or nothing to sell yet
  • Anyone expecting guaranteed placement in a specific answer

How we compare with the other ways stores buy visibility

SearchAxe Paid performance agency Blog content agency In-house merchandising team
Understands how your buyers research Maps shopper prompts and searches by category Sees shoppers as ad audiences Writes about broad topics Knows the products, not search behaviour
Works on AI answers and search together One plan for both Neither, paid shopping only Rankings, rarely AI answers Rarely in scope
Ships the fixes We change pages, feeds and templates Changes ads, not your site Publishes posts, not product pages When the backlog allows
Earns third-party mentions Review publishers, roundups and niche blogs Not offered Sometimes, as guest posts Not offered
Compliance-aware copy Accurate claims, prices and review policy Ad platform policy only Varies by writer Accurate, but rarely written for search
Measured against a baseline Orders and revenue against a fixed baseline Return on ad spend while spend runs Traffic and rankings Rarely measured on its own
Published pricing Published plans from $499 per month Often a share of ad spend Per article or retainer Salaries and team time

What you get each month

  • Baseline report Where you stand on every engine and in search before any work starts.
  • Monthly AI citation and ranking report Citations by engine, rankings and referring domains, read against the baseline.
  • Orders and revenue attributed The orders and non-brand revenue that search and AI answers drove that month, in your own analytics.
  • Slack access A shared channel with the people doing the work.
  • Rolling roadmap What shipped, what is next and why, updated every month.
  • Competitor movement Which competitors gained or lost ground in AI answers and search, and why.

How we get started

From first call to work in progress in three steps.

  1. 01

    Book a free consultation

    A call about your business, your market and where you stand in AI answers and search today.

  2. 02

    Get a plan and a quote

    We send a plan for what we would do first, with a quote for the plan you choose.

  3. 03

    Work starts right away

    Once the plan and quote are approved, the work starts immediately.

What clients say

We had thousands of pages going nowhere. Amit cleaned that up and rebuilt our landing pages. Our top three rankings are up 362% and our citations across AI engines have grown more than a hundred times.

Nan Ha Nan Ha Product Growth Lead, Viggle AI Read the Viggle AI case study

We came to Amit with a good product and almost no search presence. He gave our team a plan we could actually follow. Referring domains are up 183% and our first page rankings have more than tripled.

George Kurdin George Kurdin Co-Founder, Monk Read the Monk case study

Our content was getting published but not landing anywhere. Amit reworked how we format it for AI engines and our citations across all seven engines are up over 400%. The Reddit community he built now brings us leads weekly.

Aditya Nagpal Aditya Nagpal Founder, Wisemonk Read the Wisemonk case study

We launched with a homepage and nothing else. Amit built the search foundation, the landing pages, the blog, the schema. Our domain rating is up 70% and we went from zero AI citations to being quoted by six of the seven AI engines.

Ahad Shams Ahad Shams Founder, HeyOz Read the HeyOz case study

We had multiple pages fighting each other for the same terms. Amit mapped it all out, consolidated what needed consolidating, and rebuilt our service pages. Organic traffic is up 147% and our top three rankings have more than doubled.

Manjunath Thandu Manjunath Thandu CEO, Zivoke Read the Zivoke case study

Who's behind SearchAxe

Amit Malvi spent four and a half years at Invideo AI, rising from SEO Executive to Senior SEO Manager. He built and led a 20-person link building team and owned the company's GEO and AEO programs. Today he works hands-on with a small number of businesses across 16 industries, from SaaS and AI startups to law firms, clinics, online stores and manufacturers, that want to be the name search and AI engines recommend.

Pricing

Published prices, in US dollars per month. The plan that fits this work is below.

Full Service SEO and AI Visibility

$1,499 per month

Minimum three months

For businesses that want one partner to own search and AI visibility end to end, from the fixes to the monthly report.

  • Everything in SEO Consulting
  • Technical fixes, on-page work and citation-ready pages
  • Link building, brand mentions and entity optimization
  • Monthly reporting on citations, rankings and the leads they drive

Third-party fees, such as editorial or placement fees and paid listings, are paid by you directly.

Questions buyers ask us

How do you handle faceted navigation and filter pages?

We crawl the store and sort every filter, sort and variant URL into keep, merge or close. Combinations shoppers actually search for, such as a colour or material within a category, become indexable pages with their own copy. The rest get canonicals or noindex and drop out of internal links. Crawlers then spend their visits on the pages that sell, and engines stop seeing ten versions of the same product.

Do product schema and merchant feeds matter for AI answers?

Yes. Product schema tells Google, Bing and AI crawlers the price, availability, brand and identifiers on each page, and your Google Merchant Center feed carries the same facts into Google Shopping and the AI results Google shows. When the page, the schema and the feed disagree, engines trust none of them. We align all three and check them again after every catalogue or template change.

How do we get our products into AI shopping answers?

Engines build product shortlists from sources they trust, such as review publishers, niche blogs, Trustpilot, Amazon reviews, Reddit threads and YouTube reviews. We focus on the publications, roundups and review sites, and on making your own pages and brand entity clear enough to quote. We don't work Reddit, YouTube or social, and we never buy, fake or incentivise reviews. Any editorial or placement fees are paid by you directly.

Should we care about brand or non-brand revenue?

Both, but they tell you different things. Brand searches come from people who already know you, so that revenue mostly reflects your other marketing. Non-brand revenue comes from shoppers who searched for a product type, or asked an AI engine for options, and found you. That is the revenue organic search and AI answers add, so it is the line we report and grow against the baseline.

How do you attribute AI referrals to orders?

We set up your analytics to separate visits from AI engines from ordinary organic and referral traffic, then follow those visits through to orders. Some shoppers read an AI answer and come back days later through a brand search, so we report direct AI orders and assisted revenue separately. Both sit in your own analytics and are read each month against the baseline, so nothing depends on a number only we can see.

How long before we see results?

Index and template fixes register first, because crawlers read the cleaner site on their next visits. Category page rewrites and new buying guides need time to be crawled, ranked and quoted, and mentions on review publishers take months to earn. We set the baseline in the first 30 days and give you the first full read against it at day 90. We don't guarantee rankings, citations or order volumes.

What does it cost?

There are three monthly plans, from $499 to $1,499 per month. The plan that covers all six workstreams on this page is Full Service SEO and AI Visibility at $1,499 per month, with a three-month minimum. If you want to see where you stand first, the AI Visibility Audit is $199, one time. Editorial or placement fees, if any, are paid by you directly. Every plan is listed on our pricing page.

Do you need access to our systems?

We need read access to your analytics and Search Console, and edit access to your store platform or CMS, whether that is Shopify, WooCommerce or a custom build. Access to Google Merchant Center lets us fix feed errors directly. If you would rather keep edits in house, we write the changes as tickets your developers ship. Nothing goes live without your approval, and nothing touches checkout or payments.

Will the copy keep our product claims accurate?

Yes. Every product fact we add, from materials and sizes to compatibility and care, comes from your catalogue and is checked by your team before it goes live. We don't write health, performance or sustainability claims you can't support, and we keep prices and stock in step with your feed so an answer never quotes an old price. Reviews are never bought, written or incentivised.

Let's get your business recommended.

Tell us what you sell, who buys it and where you show up today. We'll reply within one business day with what is costing you leads and what we would fix first.

Schedule a Free Consultation