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How AI is brutally cracking down on your online store

In the past, SEO was simple. You crammed as many instances of your search phrase into your site, and Bob’s your uncle, you would be highly ranked.

Then Google caught wind and punished you for keyword stuffing. The new system meant that you had to strategically place specific keywords into your copy in order for the Google crawl bots to categorise and elevate your page in its search ranking. Do it well enough and your page will be on the 1st page of Google.

And now, with AI Overviews dominating search results pages and tools like Perplexity and ChatGPT replacing the Google search bar entirely for millions of shoppers, the old strategy is not just underperforming, it’s straight up failing.

According to a December 2025 study by Ahrefs, which analysed 300,000 keywords, the presence of a Google AI Overview now correlates with a 58% lower click-through rate for the top-ranking page.

SEO isn't dead. It just evolved.

So what can we learn from this? The new game has no rulebook, because it isn’t about rules and keywords anymore; it’s about meaning.

Google’s AI Overviews, Perplexity, ChatGPT Search, and Bing Copilot don’t match strings of text. They interpret intent. When a shopper types “something waterproof I can wear hiking that doesn’t look too outdoorsy”, the AI doesn’t hunt for a page stuffed with “waterproof hiking shoe.” It looks for the store that best understands what that person actually wants.

What does this tell us?

ChatGPT search prompts now average 60 words. This is nearly four times the length of a traditional Google query. This gap tells us everything about how buyer behaviour has shifted. People are not searching anymore; they are having conversations. The stores that show up in those conversations aren’t the ones with the most keywords. They’re the ones with the most context, the clearest expertise, and the most specific answers. That is the new SEO. And it rewards the smart over the big.

This is the moment small stores can beat the giants

Here’s what the retail giants haven’t figured out yet: in AI search, a £2 million ad budget does not buy you a citation. AI platforms value content quality and comprehensiveness over domain authority.

A well-researched, specific answer from a small business can outperform shallow content from a major brand. This is the great leveller.

A boutique running shoe store that publishes genuinely expert guidance on pronation, trail surfaces, and foot width, backed by proper product schema, structured FAQ pages, and clean review markup, will get surfaced by AI ahead of a sports direct page stuffed with stock photography and generic descriptions.

Research from McKinsey found that a brand’s own website accounts for just 5 to 10 percent of the sources AI search draws from. The rest comes from third-party reviews, editorial mentions, forums, and user-generated content. That means the independent store with genuine community trust, real customer reviews, and niche authority is sitting on a goldmine.

McKinsey and Company Ai-powered search use case study graph.
"While more than 70 percent of AI-powered search users ask questions at the top of the funnel—that is, to learn about a category, brand, product, or service—the technology is also heavily used across the entire consumer decision journey." - McKinsey & Company

How to make your store AI ready

1. Stop being Vague

Ditch the vague marketing copy, such as “premium quality,” “designed for you”, and replace it with specific, structured information such as materials used, dimensions of product, use cases you’ve investigated, compatibility, and real answers to the questions your customers actually ask.

AI engines cite on average only 2 to 7 domains per response compared to the ten blue links Google used to serve up. You need to make every bit of information count!

2. Speak to Ai and your customers

Add schema markup so that AI can parse your catalogue cleanly. Build out FAQ sections written in plain conversational language, not keyword-stuffed sales speak.

3. Get a reputation

Earn mentions on third-party sites, review platforms, and industry publications. AI systems favour content backed by reputable citations and consistent authority signals. In a nutshell: Be relevant! 

4. Speak to Ai and your customers

Stop optimising purely for rankings and start optimising to be named. When a shopper asks an AI for the best option in your category, you either appear in that answer, or you don’t exist.

A Google search result for the query "What is the best rain jacket for Scotland?".
It's not that SEO is dead. It's just less important.

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What happens if you do nothing?

The stores that ignore this shift won’t get a warning. Their traffic won’t fall off a cliff overnight, it will bleed out slowly, month by month, as AI answers replace the searches that used to send customers their way.

Gartner has predicted that traditional search engine volume will drop 25% by 2026, as AI tools become what they call “substitute answer engines” replacing queries that would previously have landed on your website. And the longer range projection is bleaker still with organic search traffic could decline by 50% or more as consumers fully embrace AI powered search.

McKinsey projects that by 2028, $750 billion in US retail revenue will flow through AI powered search, and every dollar of that will go to stores that showed up in the answer.

The hard truth is this: invisibility in AI search is not a temporary dip you can recover from with a site refresh or a new ad budget. Once a competitor owns that citation in your category they become the default recommendation, and displacing them gets harder every month you wait.

The time to build your AI search strategy is not when you notice the traffic drop. It’s now.

6 things To do this week that gets results in 90 days

We’re not going to leave you hanging high and dry. Of course, we are kind souls and will share some steps that you can action in the next few days. Do these six tasks and results will start to show themselves in less than 90 days from implementation.

1. Run your store through an AI search tool

Open ChatGPT, Perplexity, or Google’s AI Overview and type in the kind of question your ideal customer would ask. Do you appear? Does a competitor? That answer tells you exactly where you stand right now.

2. Rewrite your top 5 product descriptions

Cut the vague adjectives. Replace them with specifics: materials, dimensions, use cases, who it’s for, and who it’s not for. Write like you’re answering a question, not broadcasting a brand message.

3. Add product schema markup

If your store runs on Shopify, WooCommerce, or most major platforms, there are plugins that handle this. Product schema tells AI exactly what you sell, at what price, with what attributes. Without it, AI is guessing. And guess is not ideal.

4. Build a proper FAQ section

Write it in plain conversational language, the way your customers actually ask questions. Not “What are the material specifications of this product?” but “Will this jacket keep me dry in heavy rain?” Those are the prompts AI is answering.

5. Get mentioned outside your own site

Reach out to niche blogs, get reviewed on independent platforms, answer questions on Reddit and forums in your category. AI draws from across the web, and your own site is only 5 to 10 percent of what it reads.

6. Stop measuring only traffic, start measuring visibility

Check whether your brand name appears in AI generated answers for your key buying queries. That is your new first page of Google. If you are not on it, this is your starting point.

Are You Invisible to AI?

If you’re feeling intimidated by the six steps mentioned in this article, contact us for a FREE ecommerce AI audit. 

Get My FREE Audit

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Frequently Asked Questions

If you don’t see your question in the list then you are welcome to ask us your questions by filling in the fields below.

    How much does a slow e-commerce website cost in lost revenue?

    Even a two-second delay in page load time can result in a 20% loss in total revenue. For mid-market brands, performance is measured in milliseconds; high latency triggers high bounce rates and causes AI search engines to stop recommending your store in featured snippets or answer boxes.

    To convert sceptical international shoppers, an online shop must prominently display local legitimacy indicatorsThis can be anything from verified customer reviews (such as Google Reviews), secure payment gateway icons, or active community links (like a Facebook group if available). Failing to “engineer trust” through these visual signals leads to high cart abandonment and lower conversion rates.

    Your store may be invisible to AI because of messy backend code, excessive plugin bloat, or poor schema markup. Modern GEO (Generative Engine Optimisation) requires a clean technical foundation that allows AI agents to accurately “read” your product inventory and site structure. Without this, your brand will not appear in AI-generated shopping recommendations.

    A poorly designed site often fails to implement transparent data handling and proper cookie consent, making it a target for compliance audits. In the US and UK, non-compliance with regulations like GDPR or CCPA/CPRA can lead to legal fines reaching tens of thousands of dollars or pounds, far exceeding the cost of lost sales.

    Poor Information Architecture (IA) creates “navigation chaos,” forcing users to click multiple times to find products or policies. This friction increases your bounce rate, meaning you are effectively wasting your advertising spend on traffic that leaves before reaching the checkout. If the flow is frustrating, customers will switch to a competitor.