How to capture high-intent buyers from AI search

We will get into the mechanics of how to fix your AI discovery strategy in a second. First, an invitation to join us for dinner next month.

Supper Club LDN: A Curated Dinner Experience

12th November 2026, 6:30PM | Covent Garden | Invite-Only

Sometimes the most valuable business decisions happen over a good meal, not in a boardroom.

On 12th November, we are bringing together 15 leading UK founders and senior eCommerce leaders for a curated private dining experience from 6:30 pm at The Delaunay Counter in Covent Garden.

It is an intimate, closed-door dinner designed for candid problem-solving with the decision-makers actively shaping retail today.

If you are an established eCommerce or DTC brand founder looking to get unfiltered insights over incredible food, we would love to have you at the table.

Seats are limited, so register your interest to attend now.

How to get your brand recommended in AI Overviews

When a user asks an AI model to recommend a product, the engine rarely pulls from generic marketing copy. It looks for comparative context.

The reason a listicle, like an article structured as a simple "Top 10" or "Best of" list, often gets picked up by these models is because it acts as a knowledge graph signal, teaching the engine exactly who your competition is.

To move your brand to the recommended choice, you might want to adapt to how AI actually aggregates its data:

1. Define the narrative for a specific buyer

Do not try to be the "best overall" in your category. Expand a single prompt into sub-categories like "best for startups" or "best for sensitive skin".

Define 2 to 3 specific narratives based on your ideal customer profile. Write one definitive, bottom-of-funnel article that objectively rates your competitors against those exact use cases.

2. Leverage third-party citation graphs

AI trusts what the internet says about you more than what you say about yourself.

Run your core terms through Google AI or Perplexity, excluding your brand name.

Find the third-party directories the AI already uses, and pitch to get your brand added to those specific pages.

3. Format for machine extraction

If you want the AI to read your page and confidently extract your product, structure it like a data repository. Consider opening every section with a clear, direct answer sentence of 40 to 60 words before diving into the details. Use common user prompts verbatim in your sub-headings, and deploy comparison tables.

Acknowledging a competitor’s strength in a structured table gives the page the semantic credibility AI models look for, making them more likely to cite it.

The Takeaway

Writing dozens of thin comparison articles is rarely an efficient use of resources. Instead, review your content strategy this week and identify the single most profitable comparison you can make against a larger competitor. Format it for machine extraction, and focus on getting your brand mentioned on the third-party sites the AI already trusts.

Podcast: The Raw Reality of Scaling By Babes

In our latest episode, Megan Jones, co-founder of beauty brand By Babes, talks openly about the numbers behind their growth.

We cover:

• Doubling revenue does not always mean profit
• The risk of depending on social commerce.
• Why knowing your P&L better than your accountant keeps you safe.

If you're tired of the industry highlight reel, this one's worth a listen.

In Other News…

ChatGPT takes on fashion's fitting rooms as OpenAI makes a major play for shoppers: ChatGPT has introduced a new virtual 'Try on' feature, allowing its 1.2 billion weekly users to upload a photo and generate images of themselves wearing products spotted online.

What this means for you: As AI models integrate directly into the visual shopping experience, static flatlays won't cut it. Brands must ensure their product imagery is high-resolution, diverse, and clearly structured for AI engines.

Google updates AI Mode and AI Overviews with new links, carousels, and context: Google has rolled out significant updates to its AI search experiences, injecting more inline links, prominent article carousels, and visual thumbnail citations directly into AI-generated responses.

What this means for you: As Google actively tries to drive clicks from AI Overviews via visual carousels and inline links, your technical SEO matters more than ever.