How to Create and Optimize E-Commerce Landing Pages for AI Search Engines

Instead of typing short keywords into Google, customers now ask long, nuanced questions in tools like ChatGPT. Unlike traditional search engines, AI search engines don’t just list links — they summarize and recommend.

That means your product page, blog post, or landing page isn’t just competing for a blue link. It’s competing to be the answer.

The long-tail, precise answer to complex and contextual queries like:

“What would you recommend as the best road bike for me? I live in Boston, am 6 feet tall, and weigh 205 pounds. I don’t like flashy bikes and need one strong enough to handle gravel roads occasionally. My budget is $5,000, and I prefer all-black bikes.”

Or

“I’m looking for a skin care product for my girlfriend and don’t know what to buy. She likes products from X and has been complaining about itchiness. Recommend what would be best for her”.

So, how do e-commerce brands show up in these new results?

By scaling content around long-tail queries — the kind AI search engines are designed to answer — and doing it faster than the competition.

That’s why our team has built Big Sur AI’s AI Content Marketer. In this guide, we cover why AI searches require new types of content for e-commerce brands and how our AI Content Marketer helps bridge the gap for brands.

The Shift From Keywords to Conversations

In traditional SEO, ranking meant picking a high-volume keyword like "best skincare products" and writing an optimized blog post or product page.

But in AI search, users ask:

• "What are the best skincare products for sensitive skin and high humidity?"
• "Which running shoes are best for people with flat feet and knee pain?"
• "I need a cold brew maker that fits in a mini fridge — any recommendations?"

These are long-tail queries — specific, intent-rich questions that usually mean a user is close to making a decision.

And AI search engines love them.

The problem? You can’t manually write a landing page for every variation of every product use case.

Especially when long-tail queries are transitioning from “how to make dog food at home” (example in the image above) to → “How to make dog food for a 10-year-old 35-pound labradoodle that likes chicken”

That’s where AI comes in.

The Problem With Traditional Content at Scale

Long-tail content works. But scaling it the old way? Painful.

Here’s why most e-commerce teams struggle:

• Too many SKUs: Most brands have hundreds (or thousands) of products. You can’t write a blog post for each one manually.
• Search trends change fast: What customers search for today isn’t always what they search for next month.
• Content teams are overwhelmed: Between product launches, email flows, and ads, long-form SEO content often falls to the bottom of the priority list.
• Mass-producing content is too expensive: Until now, mass-producing quality content required large teams or a lot of agency or contractors, which aren’t cheap.

Until now, most e-commerce brand managers were reluctant to leverage AI workflows across all operations (as seen in the table below).

But things are changing fast. This leaves a gap — one that your competitors might already be filling.

Introducing the AI Content Marketer: Your 24/7 Landing Page Generator

Big Sur AI’s AI Content Marketer was explicitly built to solve this.

It helps e-commerce brands generate long-tail landing pages at scale using their existing product data, with content optimized for both human readers and AI search engines.

Here’s what it does:

1. Auto-syncs with your product catalog

It pulls in data like product names, images, descriptions, specs, customer reviews, and FAQs from platforms like Shopify, WooCommerce, or BigCommerce.

No need to manually copy and paste product info.

2. Understands intent and query patterns

The system looks at real customer questions and searches, then auto-generates page content to answer those queries.

Think:

• "Best gift ideas for new dads who love coffee"
• "Sustainable activewear for plus-size runners"

Each landing page is built to match the tone and structure that AI search engines tend to use when surfacing results.

Here’s an example 👇

3. Optimizes for SEO and AI engines

Every page includes:

• Headings and structure optimized for Google indexing
• Natural language copy designed to feed LLMs (Large Language Models)
• Semantic variations to capture multiple query intents
• Built-in schema markup

4. Chat-based editing for your team

Want to tweak a headline? Reword a paragraph? Add a seasonal message?

The AI Content Marketer lets your team edit pages conversationally — just chat with the tool and ask it to revise the content.

💡 This is a massive improvement from traditional landing page builders like Unbounce, PageFly, and Shogun, who all require manual drag-and-drop edits (which take much longer).

5. Can create landing pages from custom prompts

If you need a specific page or a cluster of pages around a topic created, you simply have to type in your request, and Big Sur AI will generate the right landing pages.

This is a feature that none of the other competing AI landing page builders have, especially considering that Big Sur AI has direct access to your store’s data, and won’t make false claims or make up information.

Want to try it out? ⤵️

How It Works (From a technical standpoint)

1. Connect your store (via Shopify, BigCommerce, WooCommerce, or API)
2. Set rules or prompts — e.g., "Generate a page for every product with 3+ reviews," or "Create landing pages based on top customer questions."
3. Let the AI generate — It pulls content, understands themes, and builds structured, optimized landing pages.
4. Edit if needed — Your team can review and revise using the chat-based editor.
5. Launch — Pages go live and begin ranking for long-tail queries across both AI and traditional searches.

Is It Expensive?

Big Sur AI offers two flexible pricing models (contact our team for more details):

1. Commission-Based Model

Pay only when the AI Sales Agent drives a sale.

This performance-based model charges a commission for conversions directly attributed to Big Sur AI. The attribution window is typically 30 days, but can be customized based on your needs.

2. Tiered Pricing Model

Pay a flat monthly rate based on your site’s average monthly unique visitors.

This model is best for brands with steady traffic who prefer predictable costs.

💡 Think of it like hiring a salesperson: You can pay a commission on closed deals or a fixed salary based on store traffic—whichever best suits your business.

Why This Matters Now

In the past, SEO was about competing for 10 keywords.

Today, it’s about being the most relevant result for 10,000 micro-intents.

With AI search engines pulling answers from a mix of structured data, semantic content, and context, your brand needs pages built to feed that ecosystem.

Big Sur AI gives you the engine to do just that, and other AI-powered features to drive more conversions on your store.

Fictional Example: How a Rad Power Bikes Could Use Big Sur’s AI Content Marketer to Build Long-Tail Landing Pages

Let’s say a potential customer asks this in ChatGPT or Perplexity:

“What’s the best electric bike for a 6’2” commuter who rides in hilly terrain and needs to carry groceries?”

This is a classic long-tail, high-intent query — detailed, personal, and intent-rich — and one that traditional SEO strategies wouldn’t typically cover.

Here’s how Big Sur AI’s AI Content Marketer would turn this into a landing page that ranks in AI search results and converts on Rad Power Bikes' site:

🛠 Step 1: Ingest Rad’s Catalog & Customer Data

Big Sur AI connects to Rad Power Bikes’ store (via Shopify or API) and pulls in:

• Product data (images, specs, pricing)
• Reviews (which mention things like “hilly rides” or “cargo capacity”)
• FAQ content
• Customer questions from previous chats or searches
• Performance analytics (top-selling SKUs, conversion trends)

This gives the AI the raw materials to write accurate, helpful, and conversion-optimized content.

🧠 Step 2: Match Query Intent with Products and Benefits

From the long-tail query, the AI breaks down key needs:

Height: 6’2” → Requires an ergonomic frame and adjustable seat

Commuting: Daily use, likely needs good battery range and reliability

Hilly terrain: Prioritize torque, motor power, and hill-climb performance

Groceries: Needs cargo capacity — rear racks, front baskets, or attachments

→ Based on this, the AI selects RadRover 6 Plus High-Step, RadRunner 2, and RadWagon 4 as ideal candidates (all praised in reviews for power and utility).

🧾 Step 3: Auto-Generate the Landing Page

The AI Content Marketer now builds a long-form landing page, including:

🧩 Title:

“The Best Electric Bikes for Tall Commuters Who Ride in Hilly Cities and Need Cargo Space”

🚴 Section 1: Why This Matters (Explains why taller riders and hilly terrain require specific e-bike specs)

⚙️ Section 2: Top Bikes That Fit Your Ride (RadRover 6 Plus High-Step, RadRunner 2, and RadWagon 4)

👥 Section 3: What Real Riders Say (Using customer reviews)

🔍 Section 4: Compare Models (Side-by-side chart: Motor / Max Weight / Range / Cargo Options / Frame Fit)

💬 Section 5: Ask Our AI Sales Assistant (Embedded Big Sur AI assistant with follow-up prompts like: “Can I attach a child seat to this bike?”, or “How long does the battery last on full power?”)

🛒 Call to Action:

[Shop Commuter E-Bikes →]

or

[Chat With Our Bike Expert →] (launches AI Sales Agent)

How To Get Started

If you think Big Sur AI is for you, getting started is easy 👇

Step 1: Add one line of code

Visit Bigsur.ai and request a live demo. After the demo, you’ll receive a small script tag to drop into your site’s header. No complex installation or dev team is required.

It works seamlessly with Shopify, WooCommerce, BigCommerce, or custom storefronts.

Step 2: Configure your experience

Use the Big Sur dashboard to:

• Build an AI Sales Agent that recommends products and answers questions
• Create an adaptive quiz that tailors itself to each shopper
• Turn on AI-generated landing pages for your top products or bundles
• Connect integrations like Klaviyo for personalized follow-ups

Step 3: Launch and track results

Once live, Big Sur will start engaging visitors immediately. You’ll get access to real-time analytics, including:

• Conversions influenced by AI
• Top shopper questions and drop-off points
• Product pairings and bundle insights

Step 4: Pay only for performance

Start with Big Sur’s commission-based model—you only pay when it drives a sale.

Start Showing up in AI Search Results

AI search isn’t the future — it’s already here.

The brands that win will be those that scale content faster, smarter, and more natively for this new ecosystem.

With the AI Content Marketer, Big Sur AI gives ecommerce teams the tools to meet the moment — and own the long tail.

Ready to start showing up in AI search results? Get started here.