SHOPIFY AI SEO AUDIT FOR GOOGLE, AI OVERVIEWS AND CHATGPT, FREE TO START

It is a review of everything that decides whether your Shopify store ranks on Google and gets named in AI answers, ranked by what each problem costs you in orders.

That last part makes it an audit rather than a report. A report tells you what is wrong. Ours also tells you what it is worth, what to do about it and in what order.

Four areas get covered. Technical: indexing, duplicate paths, redirects, robots.txt.liquid, app scripts and speed on a phone. Content: which collections and products are thin or copied. Data: Product schema, reviews and your Merchant Center feed. AI visibility: which stores AI answers name for your customers’ questions, and which sources they cite.

Our team looks at all four together because the problems connect. A collection can fail because of an app, a robots.txt rule or the way your theme links to it, and the fix differs each time.

You end with one register of issues, ranked, with the page and the fix beside each.

It covers where your store stands today from the outside, and it ends with five to ten fixes that would grow your revenue first.

One of our senior people does it personally. They open your store on a phone, read your main collections and product pages, and check how you show up on Google for your main product searches. Then they ask ChatGPT and Google’s AI the questions your customers ask, and note who gets named instead of you.

Nothing is installed. Because it is done from the outside, it cannot see your Search Console data, your revenue by page or your feed, and we say clearly which findings need checking against them.

What it leaves out is the full crawl, the 100 prompts, the feed comparison and the complete fix list. Those need access and time.

There is no obligation to go further. You can take the list to your own team, and we are happy if you do, because you have seen how we think.

All of it: technical, content, data and AI visibility, plus a ranked plan at the end. We need Search Console, GA4, a collaborator account on your store and read access to Merchant Center, and you can remove all of it the day we finish.

On the technical side we crawl the store and check indexing, canonicals, collection paths, redirects, robots.txt.liquid, app scripts and Core Web Vitals. On content we name the page that should own each term. On data we review Product schema, reviews, price and stock, and compare your feed with the live page.

On AI visibility we run the 100 prompts. You get your first Share of Decision reading, how often the buyer, or the machine buying for them, picks you, and a map of the websites those answers cite.

It closes with the ranked fix list, a note of anything we did not audit, and a scope for the work. If you hire us, it is the document we work from. If you do not, it is still yours.

The mini audit costs nothing. For the complete audit you pay ₹30,000 to ₹80,000 depending on your catalog size, adjusted against your first month if you go ahead with us.

Why a range? Because the work scales with the store. A few hundred products with a handful of collections take far fewer hours to crawl, compare and write up than thousands of products across many collections. We confirm the figure after the mini audit, before you commit to anything.

Why charge at all? A complete audit means a senior person spending real hours in your accounts, running the prompts and comparing your feed line by line. If we gave that away, it would become a pitch.

Here is how the adjustment works. You pay the audit fee. If you then start the monthly program, that same amount comes off your first month, so the audit costs you nothing extra. If you do not, you keep the report and the fix list and you owe nothing more.

A tool is useful, and it is not enough, because it cannot tell you what a problem costs.

We use tools ourselves. They catch missing alt text, long titles and broken links quickly and cheaply, and you should run one.

What a tool does not know is your business. It cannot tell which collection brings the most orders or holds your strongest rankings. It will flag hundreds of small issues at the same urgency as the one rule keeping your biggest collection out of Google. It can give your store a healthy score while the page that matters is missing from the index.

AI visibility sits outside most tools as well. You need many questions, several AI tools and repeated runs before you can see a pattern, which is why we use 100 prompts and report a range.

Our team starts with the tool output, then adds the part only a person can do: reading it against your revenue and deciding what comes first.

We ask AI tools what your customers ask, repeatedly, and log which products and stores they name and what evidence they lean on.

AI answers now recommend specific products, and the store that gets named can win the order before anyone clicks a result. Google says its AI features may split a question into related searches across subtopics, so we test the buying question and the sub-questions around it: the comparison, the price band, the problem the product solves.

For each prompt we record whether you are named, who is named instead and which sources get cited. Then we compare that with your own store. Is the page indexed and eligible for a snippet? Does it answer in its first lines? Does your Product schema match the visible page? Is your feed current?

Each gap goes in the fix list, and the cited sources become the map for digital PR. The mini audit runs a short version of this by hand, with no access needed.

In our experience, the same handful of problems: empty collections, duplicate product paths, leftover app code, conflicting schema and product facts that disagree across channels.

That is a pattern we see, not a statistic, and every store has its own order of priority. Collections are often a heading and a grid, with nothing for Google or an AI answer to use. Product pages carry the supplier’s text, so they read like every other store selling that item. Prices and stock differ between page and feed.

Then come the quiet losses. Deleted products with no redirect, even though they still get clicks. Impressions from rank trackers rather than buyers. Search Console sitting in a developer’s name, which we help you move into your own.

None of this is hard to fix once it is on a list with an order. The hard part is knowing which of them is costing you orders right now, and that is the job the audit does.

You decide. You can take the fix list to your own team, or you can hire us and we start from the top of it.

Either way, you leave with a plan that stands alone: the ranked findings, the fix for each, the pages involved and the order of work. We write it so a competent developer or marketer can act on it without us.

If you hire us, the audit becomes the plan our team works from, and the fee comes off your first month. We record the baseline from the audit, so every later report compares with the same starting point.

Our guarantee starts from that baseline as well: a 30 to 50% rise in AI search impressions within 90 days, measured in your own Search Console, and your mentions across ChatGPT, Gemini and Perplexity tracked beside it.

If the audit shows your store needs nothing urgent, we will tell you that too, and you can call us when it does.

AB Media Co, and our reasoning is simple: we audit as the team that has to live with the result.

Our record since Akshit Bhasin founded us more than ten years ago is 100+ brands, ₹3,300 Cr+ in revenue generated for clients and ₹100 Cr+ in ad spend managed. That history changes what we look for. We know what a fix does to orders, because we run the ads, the store and the search, not just a crawler.

So a senior person reviews every audit personally. Findings go into one register, so nothing gets lost between reports. And because we are aggressive about what gets fixed, the plan is written to be acted on in the first month, not filed away.

The same method sits behind the store on the first card.

If you want proof before you pay, judge the five to ten fixes from your free mini audit, then decide.

Yes. The audit works the same way on WooCommerce and other platforms, with the platform checks swapped, and the pricing is the same.

The core questions do not change. Is Google indexing the pages that earn money? Are your categories and product pages strong enough to rank? Is your product data clean and consistent? Who do AI answers name instead of you?

What changes is the technical layer. On WooCommerce we look at hosting, plugins, caching, permalink settings and the WordPress setup, in place of themes and apps. Our WooCommerce AI SEO page covers that method.

If you are planning to move platforms, this is the best time to run one. An audit before the move lists the URLs, rankings and AI impressions you have to protect, so the redirect map is built from real data. Our migration page explains how we use it.

Either way you start the same way, with the mini audit, and we will tell you if a complete audit is worth it for your store.